#Multivariate Quantitative Research Methods experts

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A Guide To Dissertation Statistical Analysis Services

Writing a dissertation is a significant academic milestone that requires precision, dedication, and a strong grasp of research methodologies. Among the most challenging aspects of this process is conducting statistical analysis—a critical step to validate your research findings. At Tutors India, we pride ourselves on providing the best dissertation statistical analysis services tailored to meet your unique academic needs.

Why Statistical Analysis Matters in Dissertations

Statistical analysis is the backbone of any research that involves quantitative data. It ensures that your findings are reliable, reproducible, and scientifically sound. By employing the right statistical tools and techniques, you can:

Draw accurate conclusions from your data.

Strengthen the credibility of your research.

Identify patterns and trends that support your hypothesis.

However, the complexity of statistical methods and software often poses a challenge, especially for students unfamiliar with tools like SPSS, R, STATA, or Python. This is where professional services like Tutors India come into play.

What Makes Tutors India Stand Out?

At Tutors India, we combine academic excellence with industry expertise to deliver top-notch statistical analysis services. Here’s why our clients trust us:

Expert Analysts Our team comprises statisticians with advanced degrees and years of experience in academic research. They are adept at handling diverse methodologies and tailoring solutions to meet specific dissertation requirements.

Comprehensive Services We cover the entire spectrum of statistical analysis, including:

Descriptive and inferential statistics.

Hypothesis testing (t-tests, ANOVA, regression, etc.).

Multivariate analysis (factor analysis, cluster analysis, etc.).

Time-series analysis and more.

Customized Solutions We recognize that each dissertation is unique. Our analysts collaborate closely with you to understand your research objectives, ensuring the statistical analysis aligns with your study’s goals.

Cutting-Edge Tools We utilize advanced statistical software, ensuring precision and efficiency. Whether your data is small-scale or complex, we have the tools and expertise to handle it.

Timely Delivery We understand the importance of meeting deadlines. Our team works diligently to provide accurate results within your timeframe, allowing you ample time for review and integration.

Confidentiality Guaranteed Your data is safe with us. We follow strict protocols to ensure complete confidentiality and data security.

How Tutors India Supports Your Dissertation Journey

Our support goes beyond just analyzing your data. We offer:

Data Cleaning and Preparation: Ensuring your dataset is accurate and ready for analysis.

Interpreting Results: Simplifying complex statistical outputs into clear, actionable insights.

Report Writing: Providing detailed explanations and visualizations (charts, graphs, etc.) for inclusion in your dissertation.

Consultations and Revisions: Offering one-on-one consultations to address your queries and accommodate revisions as needed.

Why Choose Professional Help for Statistical Analysis?

Relying on experts for statistical analysis not only saves time but also enhances the quality of your dissertation. Here’s why:

Accuracy: Professionals minimize errors, ensuring your results are credible.

Expert Guidance: Gain insights into advanced techniques that elevate your research.

Peace of Mind: Focus on other aspects of your dissertation, knowing your analysis is in capable hands.

Get Started with Tutors India

If you’re navigating the complexities of dissertation statistical analysis, let Tutors India be your trusted partner. Our commitment to excellence ensures you receive reliable, high-quality support that meets your academic aspirations.

Contact us today to learn more about our dissertation statistical analysis services. With Tutors India by your side, you can confidently tackle your research challenges and achieve academic success.

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Challenges that Ph.D. Students Face When Analyzing Quantitative Data

Introduction:

Quantitative Data Analyzing for PhD students often face various challenges while conducting research, including collecting and analyzing data.

Analyzing quantitative data can be a daunting task, especially for students who do not have a strong background in statistics.

Many students struggle with managing large datasets, choosing appropriate statistical methods, and interpreting the results.

In this blog, we will discuss some of the challenges faced by PhD students while analyzing their quantitative data.

Quantitative statistical data analysis’s importance

Regression analysis, multivariate analysis, significance testing, and other statistical methods are frequently used in Statistical data analysis in quantitative research. Expert analysts with strong quantitative skills and broad statistical knowledge are capable of handling these tasks with efficiency. Data can only be inferred statistically once the quantitative data analysis has been completed.

In quantitative data analysis, you must use critical and logical reasoning to transform unstructured data into information that is relevant. It is crucial to use thorough and impartial judgment because the same figure within a dataset may be interpreted in multiple ways. In quantitative research, only experts with the necessary training and expertise should analyze data.

Challenges of Quantitative Research Methods for PhD Students

Dissertation committees frequently criticize the method used to examine a study’s findings harshly. Not to mention how intimidating and challenging statistical data analysis is for PhD candidates in quantitative research.

The four main difficulties that PhD students and researchers have when interpreting quantitative data Analyzing are mentioned below.

1: Hypothesis development

2: Casualty: Cause and Impact

3: Generalizability (External Validity)

4: Reliability (Internal Validity)

1: Hypothesis development

A hypothesis is a statement that a research question has a possible solution. There are two different kinds of hypotheses: the null hypothesis, which states that there has been no effect or change, and the alternative hypothesis (this is usually an experimental hypothesis). We can only obtain evidence that either confirms or contradicts a hypothesis; it can never be proved or refuted. Concepts that need to be measured make up hypotheses. Concepts must be transformed into quantifiable elements and treated as variables.

2: Casualty: Cause and Impact

The process of explaining how things have come to be in their current state involves identifying specific variables in the analysis.

The dependent variable is the variable that is measured to determine the impact of the independent variable.

The independent variable is the variable that the researcher deliberately manipulates to observe its effect on the dependent variable.

The control of the Quantitative Data Analyzing variable is a potential independent variable that is held constant throughout the analysis to eliminate its influence on the dependent variable.

3: Generalizability (External Validity)

This refers to the external validity of a study, which concerns the extent to which the findings can be generalized or applied to other populations or settings beyond the sample studied. It pertains to the degree of extrapolation of results.

4: Reliability (Internal Validity)

In order to validate the research findings, this is concerned with the recurrence of the research. A reliable test must yield consistent results across trials.

The following are some ways that statistical coaches, consultants, or statisticians assist PhD students with statistical data analysis in quantitative research:

consideration of the data

Offering statistics instructions

Creating a plan for analysis

Choosing the study’s software and methodology

Quantitative data analysis implementation

Conclusion:

Analyzing quantitative data is a crucial part of the research process for PhD students. However, it can also be a challenging task that requires a significant amount of time and effort. PhD students need to be aware of the common challenges they may face while analyzing their data, and they should take steps to address these challenges proactively. By seeking help from mentors and peers, using appropriate statistical software, and investing time in learning statistical methods, PhD students can overcome these challenges and produce high-quality research that contributes to their field.

By utilizing statistical support,  PhD students can overcome the difficulties in efficiently assessing their quantitative data with the aid of data analysis in quantitative research. Additionally, these services follow moral standards.

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Multivariate Quantitative Research Methods Assignment Help

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Multivariate  Quantitative Research Methods is one of the advanced topics in  statistics. Our Statistics  experts and Statistics online tutors being adept in these advanced concepts can  cater to entire array of your needs in Multivariate Quantitative Research  Methods homework help, Multivariate Quantitative Research Methods assignment  help, Multivariate Quantitative Research Methods dissertation help, Multivariate   Quantitative Research Methods quizzes preparation help etc. www.statisticsonlineassignmenthelp provides timely help  at affordable charges with detailed answers to your Nonlinear Dynamics assignments,   homework , research paper writing, research critique, case studies or term  papers so that you get to understand your assignments better apart from having  the answers.  www.statisticsonlineassignmenthelp assures to provide you  with well-structured and well-formatted solutions and our deliveries have  always been on time whether it’s a day’s deadline or long.

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Data Collection for Resources with SPSS Help: Qualitative and Quantitative

Introduction

SPSS is the most trusted analytical software and SPSS help is its assistance to be provided by the experts to understand the workings of this tool. This programme was developed by SPSS Inc. in 1968 which was later acquired by IBM in 2009 for various analytical tasks such as business intelligence, data management, criminal investigation, multivariate analysis, and much more. Due to its easy-to-use platform, flexibility, and scalability, it is popular amongst people with different working skills.

Qualitative and quantitative research methodologies:

In research, the qualitative and quantitative methodology is the crucial part of the research where the researchers and data analysts are able to choose the best methods for conducting the study in a systematic way. Data and information are important for further critical analysis and in-depth evaluation, and it is mandatory for the researchers to collect authentic data and information. There are different ways to gather valid information and data, appropriate for the research. The researchers and data analysts are experienced to review the different sources of data and information for further data collection and analysis. There are mainly two types of data collection methods, primary and secondary.

Primary data collection:

It is the practice of gathering data from first-hand sources like surveys, questionnaires, case study analyses and interviews. First-hand data is considered a primary source of data through which it is possible to gather real-life experiences, personal opinions and perspectives of the respondents. The strategies of survey questionnaires, interview sessions, and case study reviews are effective to collect primary data and information. The researchers are efficient to collect the numeric data and information directly from the participants.

Secondary data collection:

It is different from the primary data collection method, where the researchers review the secondary sources of information which are books, journals, articles and online published articles. Gathering authentic data and relevant information is mandatory for the researcher to conduct the study and fulfil the research aim. The secondary data collection method is effective to review the literature, gather theories and models related to the study and develop own understanding for better qualitative analysis and evaluation of the research. Own knowledge and skills further help the researcher to conduct the study with critical evaluation and in-depth analysis.

In order to analyse the primary and secondary data and information, there are two techniques of data analysis, which are quantitative and qualitative. According to the type of the gathered data and information, the researchers are trying to choose the best data analysis technique to meet the research objectives, that is quantitative and qualitative research.

Quantitative data analysis:

The quantitative analysis method is mainly utilised for analysing the primary data, which are in numeric form or others. The data analysis is being conducted through charts, graphs, and other statistical tools for better analysis and data evaluation. The analysis is concerned with numerical data and identifying the average answers and quantitative phenomena. Descriptive statistics is being utilised, where the researchers are efficient to develop graphs, charts and tables for representing the data and analysing it critically. SPSS is the software system that is utilised widely by researchers for analysing numeric data successfully. The statistical functions including the mean, median, mode, standard deviation, variance, correlation and coefficient are helpful for the researcher to analyse the data and explore the impacts of independent variables on the dependent ones. This is the best way to test the research hypothesis and draw final conclusions for meeting the research objectives. The sample size is mainly large where the respondent’s data will be analysed efficiently through static models.

Qualitative data analysis:

The qualitative data analysis method is different from the quantitative research methodology, and in this regard, the researchers mainly use the existing theories and concepts for data analysis and evaluation. The qualitative data analysis is concerned with non-statistical data and the typical data includes, for example, gender nationality religion, qualitative information etc. The secondary data is being utilised by this method, and in-depth evaluation, case study analysis and thematic analysis are the major ways to conduct the qualitative study. The sample is small and the researcher tries to interpret the social interactions for completing the research. The sample size is small as compared to the quantitative data analysis technique.

Conclusion

Hereby, as per the data collection method, the researchers choose the right data analytics technique for further critical evaluation. It is possible for the data analyst to represent the data in a systematic way and perform quantitative qualitative research methodology as per the research topic and the hypothesis. The numeric data analysis can be conducted through quantitative data analysis, where mainly SPSS data analysis is widely utilized. The survey data and large volume sample are being analysed critically through the quantitative data analysis technique. On the other hand, the interview transcript, and secondary data are analysed through qualitative methods, mainly by case study analysis and thematic analysis. In this regard, the theories and concepts are useful for the researchers to improve their own understanding and acknowledge the research aim and objectives. Authenticity and validity of the data and information are necessary to be maintained for critical evaluation. Ethical consideration is playing a crucial role to perform the research activities in a systematic way and in this context; it is possible for the data analysts and researchers to choose the best way for completing the study successfully.

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Lead Data Analyst job at Moving Walls Sdn Bhd Malaysia

Moving Walls was formed with a vision to enable future “Smart Cities”. Our expertise in Smart Media, Smart Data, and Smart Content – some of the fastest-growing, billion-dollar industries – is evident in the solutions we provide:

Moving Audiences – for intelligent outdoor placements. It is already the largest network of digital screens in Asia.

Moving Insights – audience location data to power hyperlocal targeting. Our platform can measure any location in the world without additional hardware deployment.

Moving Experiences – immersive content for engaging brand experiences. We use augmented reality, virtual reality, mobile applications, gamification, and more to transform brand messages

Why Join Us?

We live by our #NoBoundaries manifesto. If you're an innovator and a trailblazer who thrives in a fast-paced and technology-driven work environment then you fit the bill.

Join us to move walls.

  Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)

Conduct deep dives into data trends and potential data irregularities using advanced analytics and statistical methods

Develop, validate, and maintain weighting methodologies, sampling techniques, outlier detection, and statistical modeling for new and existing products

Analyse historic trends and construct a mathematical model for forecasting

Identify business insights, trends and oppurtunites based of your analyses

  Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Quantitative Sciences or other related fields.

Experience in trend analyses, multivariate statistics, bias reduction, data aggregation techniques, automation

Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Research Practices, Audience Measurement, and/or Weighting.

Proficiency in Microsoft Excel: Ability to generate pivot tables, generate reports and identify trends

Proficient in SAS, SPSS, R, Stata or other statistical packages

Knowledge of Tableau or similar BI and data vizualization tools

Proficiency with Social Analytics tools such as Google analytics, Omniture Sitecatalyst, Webtrekk

2 year(s) or more of working experience in the related field

From http://www.startupjobs.asia/job/35211-lead-data-analyst-analytics-job-at-moving-walls-sdn-bhd-malaysia

from https://startupjobsasiablog.wordpress.com/2017/12/12/lead-data-analyst-job-at-moving-walls-sdn-bhd-malaysia/

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Lead Data Analyst job at Moving Walls Sdn Bhd Malaysia

Moving Walls was formed with a vision to enable future “Smart Cities”. Our expertise in Smart Media, Smart Data, and Smart Content – some of the fastest-growing, billion-dollar industries – is evident in the solutions we provide:

Moving Audiences – for intelligent outdoor placements. It is already the largest network of digital screens in Asia.

Moving Insights – audience location data to power hyperlocal targeting. Our platform can measure any location in the world without additional hardware deployment.

Moving Experiences – immersive content for engaging brand experiences. We use augmented reality, virtual reality, mobile applications, gamification, and more to transform brand messages

Why Join Us?

We live by our #NoBoundaries manifesto. If you’re an innovator and a trailblazer who thrives in a fast-paced and technology-driven work environment then you fit the bill.

Join us to move walls.

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)

Conduct deep dives into data trends and potential data irregularities using advanced analytics and statistical methods

Develop, validate, and maintain weighting methodologies, sampling techniques, outlier detection, and statistical modeling for new and existing products

Analyse historic trends and construct a mathematical model for forecasting

Identify business insights, trends and oppurtunites based of your analyses

  Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Quantitative Sciences or other related fields.

Experience in trend analyses, multivariate statistics, bias reduction, data aggregation techniques, automation

Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Research Practices, Audience Measurement, and/or Weighting.

Proficiency in Microsoft Excel: Ability to generate pivot tables, generate reports and identify trends

Proficient in SAS, SPSS, R, Stata or other statistical packages

Knowledge of Tableau or similar BI and data vizualization tools

Proficiency with Social Analytics tools such as Google analytics, Omniture Sitecatalyst, Webtrekk

2 year(s) or more of working experience in the related field

StartUp Jobs Asia - Startup Jobs in Singapore , Malaysia , HongKong ,Thailand from http://www.startupjobs.asia/job/35211-lead-data-analyst-analytics-job-at-moving-walls-sdn-bhd-malaysia Startup Jobs Asia https://startupjobsasia.tumblr.com/post/168458427454

[startupjobsasia]

Lead Data Analyst job at Moving Walls Sdn Bhd Malaysia

Moving Walls was formed with a vision to enable future “Smart Cities”. Our expertise in Smart Media, Smart Data, and Smart Content – some of the fastest-growing, billion-dollar industries – is evident in the solutions we provide:

Moving Audiences – for intelligent outdoor placements. It is already the largest network of digital screens in Asia.

Moving Insights – audience location data to power hyperlocal targeting. Our platform can measure any location in the world without additional hardware deployment.

Moving Experiences – immersive content for engaging brand experiences. We use augmented reality, virtual reality, mobile applications, gamification, and more to transform brand messages

Why Join Us?

We live by our #NoBoundaries manifesto. If you're an innovator and a trailblazer who thrives in a fast-paced and technology-driven work environment then you fit the bill.

Join us to move walls.

 Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)

Conduct deep dives into data trends and potential data irregularities using advanced analytics and statistical methods

Develop, validate, and maintain weighting methodologies, sampling techniques, outlier detection, and statistical modeling for new and existing products

Analyse historic trends and construct a mathematical model for forecasting

Identify business insights, trends and oppurtunites based of your analyses

  Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Quantitative Sciences or other related fields.

Experience in trend analyses, multivariate statistics, bias reduction, data aggregation techniques, automation

Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Research Practices, Audience Measurement, and/or Weighting.

Proficiency in Microsoft Excel: Ability to generate pivot tables, generate reports and identify trends

Proficient in SAS, SPSS, R, Stata or other statistical packages

Knowledge of Tableau or similar BI and data vizualization tools

Proficiency with Social Analytics tools such as Google analytics, Omniture Sitecatalyst, Webtrekk

2 year(s) or more of working experience in the related field

StartUp Jobs Asia - Startup Jobs in Singapore , Malaysia , HongKong ,Thailand from http://www.startupjobs.asia/job/35211-lead-data-analyst-analytics-job-at-moving-walls-sdn-bhd-malaysia

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Multivariate Quantitative Research Methods Homework Help

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Develop a Qualitative Research Data Collection Method

Revision

Statement of Problem

           The dynamism of the current business environment in combination with globalization makes the operations in organizations more complex and challenging. It is thus difficult to realize any profits forcing leaders and subordinates within an organization to change the way they relate. This also calls for leaders and subordinates to work together in order to meet the goals of the organization. Organizations are currently adopting agile leadership and learning in order to adapt and fit into this new environment. However, agility is a rare skill and numerous organizations never bother with it. In addition to this, there is limited research that analyses the way leaders can undergo agility training and use this knowledge to improve their organization. This has been one of the reasons why organizations do not achieve success even after adopting agility in leadership. There is a need to make agility a requirement for the whole organization (Hamman & Spayd, 2015).

Purpose of Research

           This research seeks to explain the application of agile coaching on the improvement of leaders. The research goes further to analyze how agile leaders or leaders who have undergone training in agility can easily use this knowledge to transform their organizations positively. This research seeks to show how leaders utilize agility to overcome the numerous challenges evident in the business world. The research will show that agility is a trait that is acquirable and if used effectively, it could help a leader manage the numerous challenges in an organization (Grena, Torkar, & Feldt, 2015).

Research Questions

           In order to achieve the objectives of this research, the following research questions will be answered:

                    i.            How can agility be used to improve the performance of an organization?

                  ii.            Can leaders be trained to achieve agility?

                iii.            What is the impact of coaching leaders in agility?

                iv.            How do leaders use agility in improving the performance of an organization after coaching?

Research Hypothesis

           The hypothesis used in this study is:

Ha = It is not possible to improve agility in leaders in an organization through coaching.

Research Design

           This research aims to analyze the existing information on the use of agile coaching and how it can be improved. The research aims to describe the way agile coaching has been used, the problems it is facing and how it can be improved in an organization. To achieve this, the research will adopt a meta-analytic research design. In their analysis of research designs, Grena, Torkar, and Feldt (2015) explain that a meta-analytic research design makes it possible to combine both quantitative and qualitative data from a myriad of scientific sources. This information is then used to make a strong conclusion supported by scientific data.

           This research design is preferred because it helps in the collection of data from secondary and primary sources and also gives the researcher an opportunity to analyze information from the respondents. A preponderance of research on agile coaching presents varying and sometimes conflicting results. By use of meta-analytic research design, it is possible to establish theoretical and statistical significance of this information. In addition to this, it is also possible to develop a correct estimate of the magnitude of effects.

           The research will collect data from questionnaires answered by respondents from various organizations. Respondents will be identified from two urban schools. The respondents will be chosen using characteristics such as leadership, their knowledge of agile coaching and their support of or dislike of agile coaching. In lieu to a Meta analytic research design, the sample population has to be sufficient to represent the characteristics of the whole population. For this reason, the total number of respondents was 52; 2 female school principals, 2 male school principals, 13 male teachers and 12 female teachers. 5 male teachers, 5 female teachers and one principal will be used as the control group. They will not be subjected to any coaching but they will take part in the study.

Variables

           This study intends to analyze whether leaders who have obtained training or coaching in agility can utilize this knowledge to handle the current challenges in the environment and also improve their organizations. To this end, the independent variable is agility or the trait of agility. The dependent variables include the responsiveness of the leaders to agility training and the effect of this training on organizational improvement. The predictor is the success of the organization while the outcome is a difference in the management of the organization such that there is better management after the training.

           The expectation of this research is that agile coaching usually makes leaders more receptive and capable of handling numerous challenges in the business environment. The research also intends to show that there is an improvement in leaders after they undertake training in leadership. Owing to the fact that this is a multivariate study, there is need for the use of both ordinal and ratio scales. Using the ratio scale, it is possible to show that as one factor improves, another one improves also. The questionnaire will also have a Likert scale at the end to unveil the feelings of both principals (leaders) and other teachers (subordinates) on agility.  The treatment group or sample will be subjected to agility training while the control group will not be trained.

  Validity

           According to Grena, Torkar, and Feldt (2015) the validity of a research confirms that the research measures only what is required, and also provides an approximation of the extent to which the conclusion is true.

Construct Validity

           This can be determined using the perception of the respondents to measure constructs which may be difficult to comprehend (Murphy & Dingwall, 2003). The target populations in this case are the principals and teachers of two urban schools. These are experts in the field of leadership and agility because they either run the affairs of the institutions and their individual classrooms or students. In addition to this, the study is made more objective by undertaking rigorous and intensive statistical tests.

Internal Validity

           Statistical validity. Statistical validity will be established by making sure that there is a relationship or variation between causes and effect factors (Dixon-Woods, Sutton, Shaw, Miller, Smith, Young, Bonas, Booth, & Jones, 2007; Holt, 2011). Statistical validity has been established by using a sufficient sample population, using a suitable sampling procedure and the application of reliable and appropriate statistical tests.

External Validity

           Concurrent validity. The choice of a tool used in collecting data should be based on the idea that the results produced from that tool are similar or almost similar to another one that is confirmed as effective. To this end, the process of operation in the research will be borrowed from existing tools.

Ethical Issues

           A survey of the research in agile coaching in leadership portrays a confluence of forces that create several crises in the ethics of the use of agile coaching. One of the major problems is the fact that there are no standards in relation to agile coaching. A pertinent question that arises in this case is how to determine whether agile coaching is working. The lack of standards also implies that the study is liable to bias. This problem is especially magnified in situations where some consultant models make the client highly dependent. In this case, agile coaching loses its direction.

           In lieu to the strong relationship between the coach and the student, ethical problems may emanate from a relationship that is devoid of boundaries. For instance, the coach may find that they interfere with the feedback or even activities that are supposed to be conducted by the student. In this scenario, there may be interference of other issues such as bonuses, appraisals, compensation and even incentives. When the coach violates the safety space and the autonomy of the student, their well-being is undermined and this leads to poor performance.

           The lack of standards may also make it difficult to track the recommendations and whether the suggestions were implemented. Considering that agile coaching relies on micro-management, it still does not call for policing individuals. The people being coached are not supposed to be forced to perform any function as motivation is expected to be innate. For this reason, some situations may interfere with the whole process of agile coaching and confirming the extent to which it works.

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As a member of Data Science Central (DSC), American Economic Association (AES), Royal Economic Society (RES), International Health Economics Association (iHEA) and The Econometrics Society, I have been working closely with top academics in Economics, Econometrics, Statistics and Research Methods. Also, I am providing supervision in Applied Econometrics and Statistics to PhD candidates in Project Management, Business Management, Finance, Corporate Governance and Social Sciences.

I am professionally trained Econometrician and Data Sciences expert providing online courses in Stata, Eviews, SPSS, Nvivo10/11, WinRATS, SAS, GAUSS, Gretl, Minitab, C++, JavaScript and Python. I helped more than 1200 clients from around the world in applied econometrics, data sciences solutions and statistical analysis of data for research in corporate governance, financial performance, economics of international trade, business evaluation, Value at Risk, Options Pricing, Stock Evaluation, Pairs Trading and Backtesting using various econometrics packages. I completed my MS in Economics with specialization in Applied Econometrics Research from The University of Sheffield, UK.

I have a teaching and academic research experience of more than 11 years at a QS Ranked University. I teach modules in Economics, Statistics, Econometrics and Quantitative Analysis. Key themes and topics of my teaching are Qualitative Data Analysis, Factor Analysis, Principle Component Analysis, Power and Sample Size determination for Survival Studies, Analysis of Open ended surveys and interviews, Multivariate Time Series techniques in VAR/VECM, VARX, SVAR, Multivariate GARCH, ARDL and Bayesian Multivariate Time Series Methods. So far, more than 70 PhD and MS/MRes candidates completed their courses in Applied Econometrics and Applied Statistics under my supervision.

I welcome you to explore the above factors of my skills and experience from Econometricians Club and AnEconomist. I would also like a free demo in any course in the list, a proposed solution for your project using your own data and I will ensure you get the best outcome for your course or project on freelance terms and conditions.

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20 Best Master’s in Assessment & Measurement

As our world continues to digitize, the need to collect, analyze, interpret, store, and use data increases.  In the education world, for better or worse, testing and data are driving decisions more and more as schools seek to be evidence-driven and governing bodies seek accountability.  Who creates those tests?  Who collects the data and what do they do with it?  How is the data used and how do schools implement research into school policy? Or student learning? The answer is that a great many people do.  Their job titles vary and include: Educational psychologists, statisticians, research analysts, or psychometricians.  These data-interested, quantitatively-motivated souls design testing instruments and systems, gather and assess data, manage databases and other programs to evaluate data and/or prepare reports,conduct studies and surveys, and advise educational policy boards.  

To qualify for work in assessment and evaluation requires graduate work.  Historically the Master’s of Assessment, Measurement, and Evaluation was a psychology degree, however, with data now driving decisions, the assessment degree has expanded into other fields.  The Master’s (MEd, MA, or MS) in Educational Assessment, Measurement, and Evaluation focuses on the application of data-analysis, assessment tools, qualitative and quantitative research, psychometrics, statistics, and evaluation in educational settings for the purpose of improving student learning and institutional effectiveness.  Each of the nation’s 16,000 school districts and each of the 50 state education departments collects large quantities of data to assess the impact of schooling in its community;  in addition to these there are many state and federal data-collection programs that are driving demand for highly-skilled analysts and directors.

  What goes into a Master’s in Educational Assessment, Measurement, and Evaluation (EAME)?

A master’s (MEd, MA, or MS)  in EAME is focused on the foundational knowledge and skills in assessing learning, both individually and institutionally, measuring and analyzing data, and evaluating data through testing, surveys, and other techniques of collecting it.  The purpose of practitioners is to improve student learning by improving institutional effectiveness.  Since the degree is interdisciplinary it draws from social science, research design, and psychology.  Historically the EAME degree had a social science and psychology focus, however, now the demand for highly-skilled analysts has spilled into many areas from K-12 schools, institutions of higher learning, government agencies, testing companies, and the corporate world.  Coursework includes classes in:

psychometrics

qualitative/quantitative measurement or research

statistics

multivariate analysis

classical test theory

designing evaluation instruments or technology

educational courses in ethics, assessment, or learning environments

A master’s degree in EAMA is 30-45 credits and usually involves a capstone research project or thesis where the knowledge learned is applied in a real-world scenario.  Some degrees under the EAME umbrella are Educational Diagnostics, a specifically EAME degree for special education settings, mostly focused on individuals, and Curriculum and Instruction or Educational Leadership with an assessment focus.  

  What is the job outlook for an EAME degree?

Organizations such as the American Statistical Association and the National Science Foundation report jobs are plentiful and satisfying.  According to the Bureau of Labor Statistics the field is projected to grow 27 percent from 2012 to 2022, much faster than the average for all occupations. The BLS states: ” Growth is expected to result from more widespread use of statistical analysis to make informed business, healthcare, and policy decisions.”

Graduate work in EAME can prepare you for a job as a researcher and analyst in several fields, including: academic institutions, state and federal agencies, school districts, the testing and evaluation industry, marketing research, and large-scale test management.

Possible jobs and median salaries (according to Payscale) include:

College and university professors – $84,632

Directors of institutional research – $79,480

Directors of assessment – $73,099

Research Analyst, staff members in research and evaluation divisions in public schools, government agencies, and private corporations and foundations.- $51,754

Psychometricians – $78,603

Educational Diagnostician – $57,857

  What are best degrees in EAME?

The answer to this depends on what you’re looking for.  The best degrees fit your needs and goals. Most people seeking an online EAME program are seeking career advancement, though the degree is accessible to those with little to no experience.  If you’re seeking to move from a master’s to a PhD, be sure the degree is not terminal and lean towards MS degrees.  If you want to move up in your job, a graduate certificate may work.  If your skills are geared toward leadership, look for EAME programs that include coursework in leadership or educational administration.  Those more inclined to dealing with hard-data, designing systems of data, be sure to check that coursework includes statistics, multivariate analysis, classic test theory, and psychometrics.  

  What is your methodology for ranking the schools on the list?

Our methodology relies on statistics collected by the National Center for Education Statistics found in the IPEDS database such as graduation rate, tenure, endowment per student, etc.  In addition to IPEDS we utilize reputable ranking organizations such as U.S. News and World Report, the NCTQ, and Payscale.com to determine average salaries and job outlook, and for this ranking, the American Evaluation Association. Program descriptions are written based on the school’s website for the degree.  Our researchers gather the most relevant information to communicate the most effective help to those seeking to find the best school

For the 20 Best Master’s in Assessment, Measurement, and Evaluation we looked at the school’s reputation, financials, and faculty for our overall score.  The specifics of our criteria breakdown are as follows: 15 percent for each of two U.S. News and World Report rankings (Overall Score and Best Education Schools), 30 percent for tuition per credit, 30 percent for average mid-career salary, and lastly, as the faculty is one of the most important data-points in considering degrees,, the percentage of tenured professors from IPEDS.  

We wish you the best of luck in your voyage of life and hope our ranking is a valuable map to your destination. Godspeed!

  1.University of California – Berkeley

Serving approximately 37,500 total students and offering hundreds of majors, the University of California – Berkeley has something for everyone.  Founded in 1868, with the vision to “contribute even more than California’s gold to the glory and happiness of advancing generations,” UC Berkeley is doing just that.  

With faculty experts in data science, evaluation, measurement, and research methods, UC Berkeley’s MA in Social Research Methodology is academically excellent.  The degree in Social Research Methodology leads to careers such as as an educational scholar and researcher in schools, colleges, and universities; non-profits, and corporations.  From design-based research to ethnography and interviewing, to measurement, assessment and evaluation, theory, applied statistics, and the manipulation of large data sets, the program covers all the aspects of the field.  Graduates will be prepared to shape educational policy, school curriculum, and teacher practices to increase student learning.  Admission to the program includes a minimum GPA, a statement of purpose, personal history essay, three letters of recommendation, and GRE taken no later than a month before the application deadline.  

Although UC Berkeley’s tuition is not cheap at $1196 per credit, it ranks #18 by U.S. News and World Report for Best Education Schools, has impressive 83 percent of faculty with tenure or on track for tenure, and the top mid-career salary is $174,000.  The positives far outweigh the negatives and make UC Berkeley our #1 overall.

  2. University of Illinois – Urbana-Champaign

Located in the twin cities Champaign-Urbana, University of Illinois enrolls over 40,000 students.  Their mission reads: “With our land-grant heritage as a foundation, we pioneer innovative research that tackles global problems and expands the human experience.”  In step with their mission, University of Illinois does just that.  

The University of Illinois – Urbana-Champaign offers various degrees in Interpretive, Statistical, Measurement, and Evaluative Methodologies for Education, referred to as “Queries.”  The Queries program focuses on these four specializations; faculty and students are concerned with developing and applying new methodologies and becoming involved with multiple research activities, both within the Department and the College, as well as across the larger campus. Upon graduation, students find positions in the public and private sector including measurement analysts, testing and evaluation directors, statistical specialists, and University faculty. Queries offers both a Master of Sciences or a Doctor of Philosophy through the Department of Educational Psychology.

The University of Illinois – Urbana-Champaign is ranked #24 in Best Education Schools by U.S. News and World Report and scored 63/100 in their overall score.  The cost per credit is a low $452 and with $102,000 as an average mid-career salary, there is no doubt that the University of Illinois – Urbana-Champaign belongs at #2.

  3. University of Iowa

With just over 31,000 students, the University of Iowa is one of the nation’s top public research universities, a member of the Big Ten conference since 1899, and an Association of American Universities member since 1909.  

The MA in Educational Measurement and Statistics will qualify you to teach at the university level, analyze and interpret quantitative data, independently conduct research and communicate findings to various audiences, design assessments, and apply complex quantitative information in making policy decisions. The U of I degree is 32 hours and is offered with or without a thesis; a thesis is recommended for those intending to move into a PhD program in the field.  The non-thesis version is offered completely online or on campus.  Both thesis and non-thesis versions require a six-hour comprehensive exam.  Admission requirements includes a bachelor’s degree, a minimum GPA of 3.00, a statement of purpose, three letters of recommendation, and GRE scores.

Ranked #43 for Best Education Schools by U.S. News and World Report and with the best ROI on our list, U of I may be the perfect fit for you to advance in your career or move into a different position fitting for your goals.  The tuition is $504 and the mid-career salary is $120,000.

  4. Ohio State University

As a Public Ivy, Ohio State University is bursting with academic options, service opportunities, extracurricular groups, and accolades.  Research remains a focus with expenditures in the top 10 in the United States.  OSU’s main campus is in Columbus, with others in Lima, Mansfield, Marion, Newark, and Wooster.

The College of Education and Human Ecology at OSU offers the MA in Educational Studies, Quantitative Research, Evaluation and Measurement (QREM).  The program is suited for those with analytical backgrounds, though anyone with a bachelor’s can apply.   There are two options for the QREM program: The 34-credit thesis option and the 31-credit non-thesis option. Courses such as Qualitative Research for Educators, Behavioral Research Methods in Applied Settings, Examining Knowledge, Truth, and Objectivity: Philosophy of Science, and Introduction to Measurement will prepare you to design, assess, implement, and improve schools’ data collection and use.  Also notable is the active student body, alumni network, and graduate teaching opportunities at OSU.

When considering the $132,000 mid-career salary, an Ohio State degree becomes worth the investment.  Ranked #18 by U.S. News and World Report for Best Education Schools and with a tuition of $1,104 tuition per credit propels the program to #3.

5.  George Mason University

Located on three suburban campuses near the District of Columbia, George Mason University serves 33,900 students on 817 acres.  It’s prime location just outside of Washington D. C. makes this school a hub for top-notch research and cutting edge educational techniques.  The University also has a sizable commuter population.

The Department of Educational Psychology offers a 30-credit master’s degree program designed for professionals to apply the principles of learning, cognition, and motivation to problems in the area of education.  They will use research, assessment, and evaluation methodologies to design and implement effective educational programs in a broad range of contexts.  Upon completion of the program, students will have a Master of Sciences in Educational Psychology with a concentration in Assessment, Evaluation, and Testing.  Classes include: Theories of Learning and Cognition, Education Research, Educational and Psychological Measurement, and Program Evaluation, just to name a few.  There are several degree options with this focus including a Graduate Certificate, a bachelor’s with an accelerated master’s, and a PhD option.

George Mason University is ranked #62 in Best Education Schools by U.S. News and World Report and scored 39/100 in their overall score.  The cost per credit is $763 and the average mid-career salary is $130,000, making the return on investment worth considering.

6.  University of Washington

“Let there be light” is a fitting motto for the University of Washington.  The UW is a multi-campus university in Seattle, Tacoma and Bothell, as well as a world-class academic medical center with an enrollment of 45,000 students.  The University has 16 colleges and schools and offers 1,800 undergraduate courses each quarter.

The MEd in Measurement and Statistics prepares you to work in school districts, state governments, universities, non-profit agencies, and private companies.  The MEd at UW is designed for individuals from a variety of backgrounds from social science to psychology who are interested in applying statistics, developing assessments, developing tests, and using psychometrics to improve schools and institutions. The program features 45 credits in Educational Foundations, Learning Science & Human Development, Measurement & Statistics, with nine credits for thesis/project.

UW’s impeccable reputation and marvelous #9 ranking for Best Education Schools from U.S. News and World Report are further bolstered by a good ROI;  the tuition per credit $1,486 and the mid-career salary is $150,000.

  7. University of South Florida

The University of South Florida, or USF, is a research institution with a main campus in Tampa, and regional campuses in Sarasota and St. Petersburg.  Founded in 1956, today there are a total of 42,000 students.

The College of Education at USF offers M.Ed., Ed.S., and Ph.D. programs in Measurement and Evaluation as well as graduate certificates in Evaluation, Qualitative Research in Education, and Quantitative Research in Education.  The program is designed to prepare students for leadership in the fields of educational policy and practice at the local, state, national, and international levels.  Graduates go on to positions such as Directors of Accountability and Assessment, Supervisors of Testing, Evaluation and Research in school districts; faculty positions in public and private colleges, universities, and community colleges, research positions in state departments of education and other governmental agencies, and measurement positions in state and national testing organizations.  Because of the variety of degrees offered, there are many paths for students to advance their education in this growing field.

The University of South Florida is ranked #93 in Best Education Schools by U.S. News and World Report and scored 36/100 in their overall score.  The cost per credit is the lowest on the list at only $431 and the average mid-career salary is $114,000, making the return on investment one of the best.

8.  Boston College

The first institution of higher learning in Boston was Boston College.   The main campus is designated as a historic district and adorned with green spaces and paths surrounded by Collegiate Gothic architecture.  The private Jesuit College is respected for academic excellence and research and enrolls 14,000 total students.  

At Boston College, the Department of Educational Research, Measurement, and Evaluation (ERME) offers the M.Ed. in Educational Research, Measurement and Evaluation and the MS in Applied Statistics and Psychometrics; both degrees are 30 credits and take two to three years to complete.  A distinct advantage to a BC education in ERME is the proximity to Greater Boston and the Northeast region and research centers on campus. The degrees both feature hands-on research, often with faculty.  The MEd courses include Research Design, Statistics, Large Scale Data Collection, and Program Evaluation.  The MS includes courses in: multiple regression and multivariate models, hierarchical linear models, and psychometric models.  Admission to the program includes transcripts, a statement of purpose, resume, two letters of recommendation, and a GRE score.

One of the more costly degrees in terms of tuition at $1,420 per credit, BC makes up for it in average mid-careers salary at $105,000.  Add to the ROI a #23 ranking by U.S. News and World Report for Best Education Schools, and a 70 percent faculty tenure and it’s clear BC deserves to be in the top five.

  9.  Western Michigan University

Home to 23,500 students, Western Michigan University is a public university that was founded in 1903.  It is located in the city of Kalamazoo and offers more than 140 undergraduate programs, as well as many graduate degrees through the Hawarth College of Business, the College of Engineering and Applied Sciences, and the College of Education and Human Development.

The Master of Arts in evaluation, measurement and research in the Department of Educational Leadership, Research and Technology at Western Michigan University is designed to prepare you for staff positions in evaluation, testing or research units in schools or non-school organizations.

Students will take basic courses in applied statistics, evaluation, measurement, and qualitative and quantitative research methods.  Completion of the program requires 27 credits, and a capstone portfolio experience.  The portfolio will demonstrate the student’s ability to apply the principles and techniques learned from the core courses.

Ranked #120 for Best Education Schools by U.S. News and World Report and an overall score of 29/100, the University isn’t the highest ranked on the list, but the ROI makes it worth considering.  The tuition is $554 and the mid-career salary is $98,500.

10.  George Washington University

Founded in 1821, George Washington University educates 15,000 total students only four blocks from the White House.  The School is particularly known for having over 12,000 internship opportunities in places like the White House, Bloomingdale’s, National Institutes of Health, and the World Bank.  

The Graduate School of Education and Human Development’s MA in Assessment, Testing, and Measurement in Education is the “nation’s premier graduate training in psychometric and statistical methods taught by faculty who are engaged in world-class research.”  The 30-credit program includes courses in foundational assessment, design of ATM models, and educational testing as well as a culminating capstone project and cumulative exam.  Due to the fact that statistical measurement is now integral to corporate, educational and non-profit operations, having the MA in ATM will allow you to work in school districts, institutions of higher education, research-oriented organizations, federal research agencies, or nonprofit organizations.  The ATM program is 15-months and is designed for individuals who are entering or advancing in positions.

An investment in GWU makes sense.  The tuition is on the high end on our list at $1,655, however considering the average mid-career salary of $130,000 makes the ROI worth it.  Ranked #38  by U.S. News and World Report for Best Education Schools you can certainly count on quality.

11. Florida State University

Florida State University football has a rich tradition reaching back to 1899; but education has an even richer one. Founded in 1851, FSU is the oldest continuous site of higher education in Florida. With an enrollment of 41,500 students, FSU is diverse and offers a vast array of studies. In fact, the School offers and incredible 341 degree programs.

At FSU the MS in Measurement and Statistics is offered in a thesis or non-thesis form.  

This degree focuses on foundational knowledge and skills in measurement theory, statistical analysis, and evaluation. This degree can also complement a higher degree in a related discipline, such as Educational Leadership and Policy Studies, Educational Psychology, or Instructional Systems and Learning Technologies.  Curriculum includes courses such as Descriptive/Inferential Statistics Applications, Multivariate Analysis Applications, and Measurement Theory.  Students may choose a Thesis or Comprehensive Exam. Admission requirements include a bachelor’s degree with at least a 3.0 GPA, GRE scores, three letters of recommendation, and a personal statement.

Affordability and quality intersect at FSU.  The cost per credit is $1,110 with a $107,000 average mid-career salary and the school ranked #52 in the country for Best Education Schools by U.S. News and World Report.  

12. University of Connecticut

At the University of Connecticut, “Knowledge exploration throughout the University’s network of campuses is united by a culture of innovation.” This spirit has been driving the 30,000 student public, research university since 1881.

The Department of Educational Psychology and Neag School of Education offer the MA in Measurement, Evaluation, and Assessment (MEA).  The MA in MEA is designed for specifically for educators and practitioners who wish to gain more knowledge and skill in the emerging field of measurement, evaluation and assessment, however, anyone with a bachelor’s is encouraged to apply.  The degree moves through coursework focusing on fundamentals of MEA: Instrument development, classical and modern measurement theory and applications, item response theory, causal inference, multivariate statistical techniques, multilevel modeling, sampling methodology, and educational assessment. Generally, three semesters of full time study is required to complete the degree though duration varies depending on pace.

The strength of UConn’s program is their reputation for excellent academics.  U.S. News and World Report ranked the school #27 for Best Education Schools and the program is recognized by other ranking organizations as well.  The percentage of tenured faculty is 69, one of the best on our list.  The tuition is $1,932 per credit.

13. University of Maryland – College Park

Founded in 1856, the University of Maryland the flagship and a land-grant institution of the UM System. The School’s 37,000 students have amazing academic choices with 250 academic programs and the tremendous advantage of having the Library of Congress, National Archives and the Smithsonian Institution just five miles away.

The MA in Measurement, Statistics and Evaluation (EDMS) program at UM will prepare you to serve as research associates in academic, government, and business settings.  Since educational research relies on data collection instruments, students in the MA program will learn foundational and advanced skills in developing models and methods, sampling frameworks, and analyzing data.  Something to note about UM is that full-time assistantships are available and renewable for those who qualify.  Perhaps the most attractive feature of UM is their incredible location with DC just five miles away. Students have conducted projects or been employed by American Institutes for Research, The Census Bureau, State Departments of Education, National Education Association, U.S. Department of Education, Educational Testing Service, and Maryland Assessment Research Center for Education Success to name a few.

UM has the the third highest tuition on our list at $1,831 per credit, but the cost is offset by the long-term return; the mid-career salary is also the third highest at $144,000.  With proven quality and a good reputation, UM will not disappoint.

14. Rutgers University

“Sol iustitiae et occidentem illustra – Sun of righteousness, shine upon the West also.” A fitting motto indeed for Rutgers University in New Brunswick, New Jersey.  A member of the Association of American Universities, Rutgers is known for research and outstanding academics.  Their rich history and tradition go back to 1766.  RU has 31 schools and colleges, more than 300 programs and degrees, nearly 300 research centers and institutes and 69,000 total students.

Rutgers Graduate School of Education offers an Ed.M. in Educational Statistics, Measurement, and Evaluation (ESME).  The degree trains you with the knowledge and skills for employment in a variety of fields; for example, researchers or data analysts in the fields of social science research, educational testing, marketing research, or pharmaceutical research.  A sampling of coursework includes Statistical Methods, Psychometric Theory, Applied Multivariate Analysis, and Causal Modeling.  The ESME program is 33 credits and does not require a thesis or comprehensive exam.  Admission includes a bachelor’s degree, GRE scores, three letters of recommendation, and a personal statement.

Affordable tuition at $1,172, a $95,500 mid-career salary and a #52 ranking for Best Education School by U.S. News and World Report are attractive and nicely complement Rutgers respected reputation as an excellent institution.  

  15.  Pennsylvania State University

Pennsylvania State University is a leader in teaching, research, and public service. The University’s influence is huge with 24 campuses, 100,000 students, a teaching hospital, the online World Campus, and “the largest student-run philanthropic organization on the planet.”  Penn State is a Public Ivy and offers an world-class education across many fields.

The MS in Educational Psychology, Measurement and Evaluation is offered through the Department of Educational Psychology, Counseling, and Special Education.  There are two tracks, thesis and non-thesis; the non-thesis is intended for those not seeking to move into a doctoral program.  The 30-credit program includes coursework and a paper/thesis.  Courses include Applied Statistical Inference for the Behavioral Sciences, Learning Processes in Relation to Educational Practices, Introduction to Educational Research, and Principles of Measurement.  There are teaching and research assistantships available, though priority is given to those who apply for the MS/PhD program; hence, it would be advisable to apply and decide later whether moving into the PhD program is best.  

In your search for the perfect fit, Penn State is worth a look because we are all looking for the highest quality for the best price.  At Penn State the tuition is not cheap, but is affordable at $1,428 and the mid-career salary is $91,900 making the ROI favorable.  As for quality, Penn State lives up to its Public Ivy reputation.

16. University of North Carolina – Greensboro

Founded in 1891, the University of North Carolina “defines excellence not only by the people we attract, but by the meaningful contributions they make.” The 19,000 students are offered 86 undergraduate, 74 master’s, and 32 doctoral programs.  UNCG is recognized as for research, community engagement, and Weatherspoon Art Museum, one of the largest collections of American art in the country.

The MS in Educational Research, Measurement, and Evaluation (ERM) at UNCG is excellent. UNCG’s ERM program has two concentrations as well: Measurement and Quantitative Methods and Program Evaluation.  The 33-credit program teaches foundational knowledge and skills amounting to a comprehensive education in educational research, measurement, and evaluation through coursework, practicums, hands-on field experiences, and a comprehensive exam.   The program for those seeking career advancement or ambitions to move into doctoral work in fields that employ quantitative research methods. Classes are held during the evenings making this degree convenient, and with the two concentrations and multiple electives (six of the total 33 credits) there are good choices within the program to tailor it to your interests.

If you choose to earn your MS in ERM at UNCG, you will be pleased with the quality of program and the long-term investment.  The School is ranked #52 by U.S. News and World Report, the tuition is $1,172 per credit, and the mid-career salary is $95,500.

  17. Oklahoma State University

Oklahoma State University was established on Christmas Eve in 1890.  Originally Oklahoma Agricultural and Mechanical College, OSU is a land-grant, sun-grant, coeducational public research university that has grown greatly since the first graduating class of six. OSU has more than 35,000 students across its five-campus system

The School of Educational Studies offers the MS  in Educational Psychology, Educational Research and Evaluation (ERE) at the OSU Stillwater and Tulsa campuses.  At OSU the focus for the ERE program is research.  Students receive work very closely with faculty as instructors, mentors, and research partners.  One particular example of this is that students in the program typically attend conference and present their research alongside faculty mentors.  This real-world research experience is a definite strength of the program.  Curriculum specifics of the 36-hour program include an 18-hour foundation in educational psychology, research inquiry, and a thesis, report, or creative component and an 18-hour focus on research, evaluation, measurement and statistics in educational settings.  

Seventy one percent of OSU’s faculty are tenured leading to an assurance of high-caliber teaching.  Tuition is one of the most affordable at $825 and the mid-career salary is $82,800.

18. Columbia University Teachers College

Columbia University Teachers College is the oldest and largest graduate school of education in the United States.  Founded in 1887, it has been a Faculty of Columbia University since its affiliation in 1898.

Columbia University Teachers College offers a Master of Science in Applied Statistics and a Master of Education in Measurement and Evaluation.  Both of these degrees offer classes like probability and statistical inference, applied regression analysis, linear models and experimental design, multilevel and longitudinal data analysis, and multivariate analysis, just to name a few.  The degree culminates in a project that is determined by the student in consultation with their advisor.  The M.S. in Applied Statistics requires at least one year of study and provides training for positions in applied research settings, testing organizations, and business organizations.  The Ed.M. in Measurement and Evaluation is a two-year master’s degree and provides training for a positions in educational research bureaus and testing organizations.

Ranked #7  in the Best Education Schools by U.S. News and World Report, the $1512 cost per credit is worth it for those who desire the world-class education and renown that Columbia is known for.  Graduates average mid-career salary is $73,400.

19.  University of Toledo

Situated in Toledo, Ohio is the picturesque campus of the University of Toledo.  Serving 23,000 students with a vibrant campus life of over 300 student organizations, the University offers over 300 degrees from undergraduate to graduate and professional degrees.  UT is has nationally ranked programs in business, engineering, law, and occupational therapy.

The Department of Educational Foundations and Leadership at the Judith Herb College of Education (JHCOE) offers an MA in Educational Research and Measurement with specializations in measurement, program evaluation, qualitative research methods, and statistics. The MA will prepare you for employment in university teaching and research, educational institutions, business, and government, all of which are demanding highly-trained individuals in research, measurement, and statistics.  The MA program is 36 hours and includes a thesis.  Program outcomes include expertise in the design, execution, and interpretation of applied research and a deep understanding of the theoretical foundations of research and measurement.  

UT’s faculty are experts and 73 percent are tenured.  With confidence in quality, you can add and affordable tuition of $979 cost per credit and a mid-career salary is $83,100.

20. University of Wisconsin – Milwaukee

The University of Wisconsin–Milwaukee is the largest university in the Milwaukee metropolitan area and a member of the University of Wisconsin System. It is also the second largest university in Wisconsin.

UWM’s Department of Educational Psychology offers a Masters degree for students who are interested in specializing in educational statistics and measurement:  Students may choose either a non-thesis or a thesis track. The non-thesis program provides basic research methodology coursework for students who are planning to go straight to work in positions that require educational measurement and research methodology. The thesis program is primarily intended for students planning to go on to doctoral studies.  Students will complete 30 credits, including 12 credits of core courses, six credits in Learning and Development, and 12 elective credits, six of which must be in Educational Statistics and Measurement. Each student’s program of study is developed in consultation with an assigned advisor. A full-time student can typically complete the program in two years.  In addition to course requirements, students must either complete a thesis or pass a final comprehensive examination.

The University is ranked by U.S. News and World Report Best Education Schools as #77, recognizing it as one of the top 100 in the nation.  The cost per credit is the highest on the list at $2052 per credit hour, but students will be assured of a top-quality education as 70% of the full-time faculty is tenured or on tenure-track.

from Top Masters in Education http://ift.tt/2qRDvCE

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Global Pharmacogenomics Market Survey Size, Share, Insight Details 2017 Set to Grow according to Forecasts 2027

Global Pharmacogenomics Market Information by Application (drug safety, Tailor treatments, drug discovery), By Therapeutic application (cancer, oncology, cardiovascular) By Methods (haplotype analysis, multivariate techniques) - Forecast to 2027

 Study Objectives of Pharmacogenomics

       To provide detailed analysis of the market structure along with forecast for the next 10 years of the various segments and sub-segments of the global pharmacogenomics market

· To provide insights about factors affecting the market growth

· To Analyze the Urinary incontinence market based on various factors- price analysis, supply chain analysis, porters five force analysis etc.

· To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- Americas, Europe, Asia, and Middle East & Africa.

· To provide country level analysis of the market with respect to the current market size and future prospective

· To provide country level analysis of the market for segment by application, by therapeutic application, by methods and its sub-segments.

· To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market

· To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global pharmacogenomics market.

  Request a Sample Report @ https://www.marketresearchfuture.com/sample_request/1177

Market Synopsis of Pharmacogenomics

Market Scenario

Globally the market for pharmacogenomics is increasing rapidly mainly due to increasing safety in drug. The factors that influence the growth of Pharmacogenomics market; rising utilization in medication revelation processes, increasing interest for customized drugs, expanding security in treatment, Improve evidence of guideline for adequacy trials.   

Globally the market for pharmacogenomics is expected to grow at the rate of about XX% CAGR from 2016 to 2027.

 Segments

The market for pharmacogenomics is segmented into mainly three; by application, by therapeutic application, by end user and its various sub-segments. By application include drug safety, Tailor treatments, drug discovery and others. Whereas by therapeutic application include cancer, oncology, cardiovascular and others. Furthermore by methods include haplotype analysis, multivariate techniques, quantitative trait analysis and others.

 Regional Analysis of Pharmacogenomics    

        North America dominated the global pharmacogenomics market with the largest market share, accounting for $XX million and is expected to grow over $XX billion by 2027. The European market for Pharmacogenomics is expected to grow at XX% GAGR (2016-2027). Asia-Pacific is expected to grow at CAGR of XX% from $ XX million in 2016 to $XX million by 2027.

  Access Report Details @ https://www.marketresearchfuture.com/reports/pharmacogenomics-market

Key Players

The key players that are involved in global pharmacogenomics market Myriad Genetics, Inc (U.s), Transgenomic, Inc(U.s), 23andMe (U.S), Pathway Genomics (CA), Genetech (CA), GeneDX (U.S), Teva Pharmaceutical Industries Ltd.(Israel), Illumina, Inc.(U.s), Assurex Health, Inc.(U.s), and others

 The report for Pharmacogenomics of Market Research Future comprises of extensive primary research along with the detailed analysis of qualitative as well as quantitative aspects by various industry experts, key opinion leaders to gain the deeper insight of the market and industry performance. The report gives the clear picture of current market scenario which includes historical and projected market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The report provides details information and strategies of the top key players in the industry. The report also gives a broad study of the different market segments and regions.

 About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.

Contact:                                              

Akash Anand,

Market Research Future

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Email: akash.anand@marketresearchfuture.com

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