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nursingwriter · 1 month ago

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ANCOVA and MANOVA ANCOVA or MANOVA A multivariate analysis of variance (MONOVA) is a statistical procedure for comparing a the population means of several groups and when two or more dependent variables exist ("StatSoft," 2011). One of the strengths of a MONOVA is that individual p-values are produced for each dependent variable. This enables a comparison of the levels of significance of the variables, and can show interactions among the dependent variables ("StatSoft," 2011). It is also possible to determine if changes to the independent variables will create significant effects on the dependent variables ("StatSoft," 2011). If we consider the question about the influence of course delivery methods on the academic performance of students enrolled in statistics classes, we may find a MONOVA approach to be of assistance in our analysis. Recall that the three course delivery methods are: online, face-to-face, and hybrid. The course delivery methods are the independent variable and the statistical learning of the students is the dependent variable. Generally, when the topic of a research study is student learning -- not simply performance on a single assessment -- we are interested in pre-test and post-test scores. Adding a repeated measures component to the research design can clarify the extent of learning that students achieved. Another independent variable added to this analysis is college major, and number of mathematics courses taken previously. Moreover, a second dependent variable is tutoring requests during the course, and a third dependent variable is feelings about the course (distress or confidence) as rated by a Likert scale administered as an add-on to each test. Through this addition, the MANOVA can assist the analysis of the three types of course delivery with regard to effectiveness with students at various levels of competency. With these changes -- to a MANOVA approach and the addition of another independent variable (entry level of statistics knowledge) -- we are ready to articulate the research question and hypotheses. RQ1: How are the various course delivery methods related to students' pre- and post- statistics skills? The corresponding null and alternative hypotheses would be: H0: there are no discernable differences in pre- and post- statistics scores for course delivery methods H1: there are significant differences in pre- and post- statistics scores for course delivery methods RQ2: How are the various course delivery methods related to students' perceptions of stress or confidence? The corresponding null and alternative hypotheses would be: H0: there are no discernable differences in course delivery methods and students' perceptions of stress or confidence H1: there are significant differences in the relation of SST scores to perceptions of stress or confidence RQ3: How are students' SST scores related to their college majors? The corresponding null and alternative hypotheses would be: H0: there are no discernable differences in SST scores and college majors H1: there are significant differences in SST scores and college majors As before, the dependent variable reflects learning of statistical skills and may be measured as a quantitative, interval variable through a structural skills test (SST), which is a 100-item test rating the test scores of students on a scale of 1 to 100. However, in this version of the research design, the SST will be administered to students on the first and last days of the courses, regardless of course delivery type. Because several variables are used in this MONOVA analysis, and the analysis will report effects for each variable, it will be helpful to consider how the variables might interact or correlate with other variables. A MANOVA works well when the dependent variables are correlated to a certain degree, but if they are too highly correlated, they may be measuring the same construct. A MANOVA has the same difficulties with regard to multiple post hoc comparisons as ANOVA. Essentially, MANCOVA is an extension of ANCOVR, but the dependent variables are adjusted for difference in covariates thereby reducing the error "noise." Part 2: Racism is pervasive in many societies and resists the efforts of people to eradicate it from the cultural practices and mindsets of many people in a population. Among the many negative outcomes of racism, one of the most important is the impact that perceived racism has on the very people against whom the racism is directed -- or the groups to which they belong. While it is natural to assume that the psychological and physiological outcomes of perceived prejudice have adverse effects on the perceivers, little research exists to demonstrate these relationships. Pieterse, et al. (2012) conducted a meta-analysis review of 66 studies (which means that the sample size was 18,140) conducted during the period from January 1996 to April 2011 in an effort to better understand the relation between racism and mental health in Black Americans. The research question and the research hypotheses are listed below: R1: What is the magnitude of the relation between perceived racism and mental health among Black Americans. H0: no relation exists between perceived racism and mental health among Black Americans H1: a relation does exists between perceived racism and mental health among Black Americans The search generated 138 empirical studies which were further scrutinized for inclusion criteria and sufficient statistical information to productively determine effect sizes. The researchers conducted a search of the literature using the following inclusion criteria: The studies needed to have a specific analysis of indicators of mental health and perceived racism. The studies also needed to focus on subjects who were Black Americans living in the United States. Moreover, the studies had to have been dissertations or published in peer-reviewed journals between the years of 1996 and 2011. A coding protocol and coder training manual were developed; university students were trained to code the dissertation articles and dissertations, and inter-rater reliability of 90% was achieved. Five moderator variables were identified: Racism scale type was a measure of the frequency of perceived prejudicial events and the associated level of stress. Measurement precision was the reported reliability estimate on the racism scale. Sample type indicated whether the subjects were from the community, colleges, or combined. Publication type indicated whether the study was from a dissertation or an article from a peer-reviewed journal. Outcome type indicated the effect size for mental health clusters: anxiety or depression; psychiatric symptoms; life satisfaction or self-esteem; and general distress. Effect sizes were measured by the Pearson product-moment correlation in order to indicate positive correlations between perceived racism and mental distress. Using a random effects model, the effects from the studies were aggregated for overall effect size and weighted contributions of each study. The researches checked for publication bias by using a funnel plot, which is an artifact of published works tending to contain larger samples and significant effect sizes. The aggregated correlation between perceived racism and psychological distress was determined for 66 studies by using a random effects model. The correlation was found to be significant at r = 20, confidence interval (CI) .95 (0.17, 0.22). Egger's regression concept was not significant, indicating a lack of bias (t (64) = 1.01, p = 32, 95% CI (0.61, 1.85). The null hypothesis was rejected. The link between perceived discrimination (racism) and mental health was documented for Black Americans. The researchers conducted a robust meta-analysis review of a large sample of research studies that examined the relation between perceived racism and mental health in Black Americans. Several statistical processes were used to test for biases or assumptions, including the effect of publication. The studies included in the analysis were characterized by measures that indicated acceptable reliability estimates, which further strengthened the aggregate research findings. The relationship between perceived racism and mental health for Black Americans was robust, and was not significantly moderated by sample type, publication type, and racism scale. The researchers recommend future studies to examine the effect of racial bias that is less easily observed -- such as structural, institutionalized, or internalized bias -- as well as more indicators specific to contexts such as workplaces or religious and educational institutions. The meta-analysis of 66 studies showed a moderation effect for psychological distress, with anxiety, depression, and other psychiatric symptoms for Black Americans who perceive racism. The association between mental illness and quality of life indicators was considerably weaker. Moreover, moderation effects were not found for measurement precision, racism scale, sample type, or type of publication. The current meta-analysis supports the concept that adverse psychological outcomes are associated with perceived racism in Black Americans. References Carey, G. (1998). Multivariate analysis of variance (MONAVA): I. Theory. Retreived from http://ibgwww.colorado.edu/~carey/p7291dir/handouts/manova1.pdf Pieterse, A.L., Carter, R.T., Evans, S.A., & Walter, R.A. (2010). An exploratory examination of the associations among racial and ethnic discrimination, racial climate, and trauma-related symptoms in a college student population. Journal of Counseling Psychology, 57 (3), 255-263 Trochim, W.M.K. (2006). Analysis of Covariance. In Research methods knowledge base (2nd ed.). Retrieved from http://www.socialresearchmethods.net/kb/statcov.php Read the full article

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customwriter · 3 years ago

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statsonlineassignhelp-blog · 7 years ago

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Multivariate Quantitative Research Methods Homework Help

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ux-studio · 5 years ago

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5 research methods to improve web checkout conversion rates Don’t fret a high abandonment rate. Many users just go window shopping, comparing prices, saving items for later, exploring gift options, or just playing around while they check the latest fashion or gadget trends. We can’t avoid it. But you can do something to improve it. These UX research methods can help you with this, and these tips can help you better react to user frustration during the whole process. 1. Quantitative metrics for identifying the problem: metrics like average shopping cart size, effectiveness of recommendation engines, or abandon rate after each phase of the funnel tell much more about customer behaviour. 2. User interviews and usability testing to understand user behavior 3. Gathering insights from customer support 4. Creating a customer journey to draw a line between the dots 5. Testing on lots of users, and finalize it based on the results Once you have a possible new solution for the defined problem, make an A/B or multivariate test and compare the results. You can also combine it with previous methods, like usability testing both variations, and clean up the design and copy before publishing for A/B test. https://uxstudioteam.com/ux-blog/web-checkout/?utm_source=social&utm_medium=referral&utm_campaign=ownsocial

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spsstutors · 3 years ago

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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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skylinetutoring-blog · 5 years ago

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Understanding the Use of Calculus in Real World

Find Calculus difficult or confusing? Want to master the complicated subject? Attending lectures on calculus is not enough if you really want to learn calculus. There are several time-tested specific methods for learning calculus. And with online calculus tutoring you can learn these methods eventually. However, before you begin to search for calculus tutoring online, you need to understand what exactly calculus is and what is its use in real life scenarios!

Let's have a look at why you should learn calculus and how it can help you in real world:

What Exactly is Calculus?

Calculus is a branch of mathematics that focuses of derivatives, integrals, limits, functions and infinite series. This branch of mathematics is an all-embracing study of how things change. We can say that, calculus provides the fundamental framework that can help in understanding and modelling a system that keeps changing. With the help of calculus, you can construct a quantitative model of change which is simple to understand. It also helps in making or deducing predictions of the models that change continuously.

How Calculus can be used in real life scenarios?

If you do not understand the use of calculus in real life scenarios,you will find calculus confusing and will get de-motivated. Therefore, it is necessary for you to realize the extensive usage of calculus in real life scenarios. Without understanding its actual use, learning the complicated concept is of no use.

Study of calculus bestows its learner with an ability to realize and establish the effects of the changing conditions on the system of study. The wide-ranging research and learning of calculus enable you to even control the system in accordance with you. You can use the system as per your wish. Sounds exciting right? You will be astonished to know that Calculus played a great role in the industrial revolution. It is due to its application in engineering that it played a significant role in industrial development and the expansion of modern science.

Introduction to Learning Calculus

So do you want to learn calculus and are you looking for online calculus tutoring? l To begin with, we can say that calculus describes the old notions of speed, position and acceleration. Then comes single variable calculus concept that is a study of an object that moves along a fixed path. After that, multivariable calculus comes into the picture that deals with the movement of an object on a non-linear surface or space.

The study of calculus then includes Differentiation i.e. finding instant changes of the varied functions, finding solution to certain problems using derivatives and Integration i.e. getting back the derivative of the function.

And there is so much more that calculus can help you explore!

Conclusion:

Skyline Tutoring provides online calculus tutoring for all levels.

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statsonlineassignhelp-blog · 7 years ago

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Multivariate Quantitative Research Methods Assignment Help

https://www.statisticsonlineassignmenthelp.com/Multivariate-Quantitative-Research-Methods-Assignment-Help.php

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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thedatasciencehyderabad · 4 years ago

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College Students This information science course in hyderabad demonstrates your proficiency in complex problem solving with probably the most sophistical know-how available in the market. The Data Science certificate is your passport to an accelerated profession path. 360DigiTMG is the best institute for data science coaching in Hyderabad. The course begins with an introduction to concepts in mathematics, statistics and knowledge science. Students obtain instruction on the earth's most popular languages - Python and R. Understand the time series elements, Level, Trend, Seasonality, Noise and methods to establish them in a time sequence information. In this primary module of forecasting, you'll be taught the applying of Model-based forecasting strategies. Artificial Neural Network model used to resolve the most complicated information where the sample can't be defined utilizing explainable models. Learn about Gradient Descent Algorithm and its optimization strategies to cut back the error to raised match the information. Learn to analyse the unstructured textual information to derive meaningful insights. Understand the language quirks to perform information cleansing, extract options utilizing a bag of phrases and construct the important thing-value pair matrix called DTM. Learn to grasp the sentiment of consumers from their suggestions to take acceptable actions. Advanced ideas of text mining may also be mentioned which help to interpret the context of the raw text information. Topic models utilizing LDA algorithm, emotion mining utilizing lexicons are discussed as part of NLP module. As a part of this module you study further totally different regression techniques used for predicting discrete data. These regression strategies are used to research the numeric data often known as rely data. Based on the discrete probability distributions namely Poisson, negative binomial distribution the regression fashions try to fit the data to those distributions. The prerequisites for conducting a Hypothesis take a look at, interpretation of the results shall be discussed in this module. Learn about varied statistical calculations used to seize enterprise moments for enabling choice makers to make data pushed decisions. You will study in regards to the distribution of the information and its shape using these calculations. Understand to intercept information by representing information by visuals. Also find out about Univariate evaluation, Bivariate evaluation and Multivariate analysis. The premier modules are dedicated to a foundational perspective of Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis. This is probably the most enriching Data Science course in Hyderabad in terms of the array of matters lined. He should possess above average communication abilities and must be adept in speaking the technical ideas to non - technical folks. Data Scientists need a powerful foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and Modeling to construct successful algorithms. They should be proficient in instruments corresponding to Python, R, R Studio, Hadoop, MapReduce, Apache Spark, Apache Pig, Java, NoSQL database, Cloud Computing, Tableau, and SAS. Mostly all the coaching providers teach brief-term courses as well as lengthy-time period programs and could be hours roughly. You can go for Classroom training and Instructor LED online training either weekday morning, weekday evening or weekend course no matter suits you finest. Most institutes listed above provide flexible batch timings to fulfill the needs of working professionals as properly. The fees of institutes in Hyderabad depend on numerous factors like coaching hours, expertise and qualifications of the school. You can get in touch directly with the institute to negotiate the fee as per your finances and requirement for learning Data Science. The high sectors creating essentially the most information science course in hyderabad jobs are BFSI, Energy, Pharmaceutical, HealthCare,

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econometricians-blog · 7 years ago

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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.

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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.

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matt41john · 8 years ago

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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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