#quantitative data collection

[philomathresearch]

The Power of Precision: A Deep Dive into Quantitative Data Research

In the dynamic world of research and decision-making, data is the bedrock upon which sound strategies are built. Among the various research methodologies, quantitative data research stands tall as a powerful and precise tool. At Philomath Research, we understand the significance of quantitative research and its unparalleled ability to uncover insights, drive informed decisions, and shape the future. In this deep-dive exploration, we'll delve into the world of quantitative data research, understanding its methodologies, applications, and the transformative impact it has on businesses and industries.

Chapter 1: Understanding Quantitative Data Research

Quantitative data research is a systematic approach to collecting, analyzing, and interpreting numerical data. It involves structured data collection methods such as surveys, questionnaires, experiments, and observations. This methodology ensures that data is precise, measurable, and statistically significant. The quantitative approach allows researchers to answer questions with numbers, providing a foundation for data-driven decision-making.

Chapter 2: The Methodologies of Quantitative Research

Quantitative research methodologies come in various forms, each tailored to the specific research objectives. We'll explore the most common methods:

Surveys and Questionnaires: Surveys are a staple of quantitative research, enabling researchers to collect data from a large sample size. We'll delve into best practices for designing effective surveys and questionnaires.

Experiments: Controlled experiments allow researchers to isolate variables and establish causal relationships. We'll discuss how experiments are designed and executed.

Observational Research: Observational studies involve systematic observations of subjects in their natural settings. We'll explore the advantages and challenges of this method.

Chapter 3: The Power of Precision in Data Collection

The heart of quantitative research lies in its precision in data collection. We'll explore:

Structured Data Collection: Quantitative research employs structured data collection tools that ensure uniformity and consistency in responses.

Large Sample Sizes: The ability to collect data from large sample sizes provides statistical power and reliability.

Quantifiable Data: Numerical data is highly quantifiable and lends itself to statistical analysis.

Statistical Significance: Quantitative research allows researchers to determine the statistical significance of findings, providing confidence in the results.

Chapter 4: Data Analysis in Quantitative Research

In this chapter, we'll dive into the data analysis phase of quantitative research:

Descriptive Statistics: Descriptive statistics provide an overview of the data, including measures of central tendency and dispersion.

Inferential Statistics: Inferential statistics allow researchers to draw conclusions about a population based on a sample. We'll explore hypothesis testing, confidence intervals, and more.

Statistical Software: The role of statistical software in data analysis, including popular tools like SPSS, SAS, and R.

Chapter 5: The Real-World Applications of Quantitative Research

Quantitative research finds application in a wide range of fields and industries. We'll showcase some real-world examples:

Market Research: How businesses use quantitative research to understand consumer behavior, preferences, and market trends.

Healthcare: The role of quantitative research in clinical trials, patient outcomes analysis, and healthcare policy.

Education: How educational institutions leverage quantitative research to improve teaching methods and student performance.

Finance: Quantitative research in financial modeling, risk assessment, and investment strategies.

Chapter 6: The Transformative Impact of Quantitative Research

Quantitative research has the power to transform industries and shape strategies. We'll discuss:

Evidence-Based Decision-Making: How quantitative research provides the evidence needed for informed decisions.

Competitive Advantage: How businesses gain a competitive edge by using quantitative insights to optimize operations and customer experiences.

Innovation: The role of quantitative research in driving innovation, product development, and process improvements.

Chapter 7: Challenges and Ethical Considerations

No research methodology is without its challenges and ethical considerations. We'll explore:

Sampling Bias: The potential for bias in sampling methods and how researchers mitigate it.

Privacy and Data Security: The importance of safeguarding participant data and ensuring compliance with data protection regulations.

Ethical Conduct: The ethical responsibilities of researchers in quantitative studies, including informed consent and transparency.

Chapter 8: The Future of Quantitative Data Research

As technology advances and the world becomes more data-centric, we'll look ahead to the future of quantitative research:

Big Data and AI: The convergence of quantitative research with big data analytics and artificial intelligence.

Multimodal Research: The potential for combining quantitative and qualitative research methods for deeper insights.

Globalization: How quantitative research is adapting to the challenges and opportunities of a globalized world.

Conclusion: Harnessing the Power of Precision

Quantitative data research is not merely a methodology; it's a strategic imperative in today's data-driven world. At Philomath Research, we embrace the power of precision in data collection and analysis. We understand that the insights derived from quantitative research have the potential to transform businesses, industries, and societies.

In this deep dive into quantitative data research, we've explored its methodologies, applications, and transformative impact. It's a journey that leads to a deeper understanding of the world around us, enabling us to make informed decisions and shape a brighter future.

To learn more about how Philomath Research leverages the power of precision in quantitative data research, please visit www.philomathresearch.com. Together, we can uncover insights that drive success and innovation.

[insighttellers]

Precision Insights: Expert Quantitative Market Research Services

Our Quantitative Market Research Services help you quickly gather insights from our panellists and understand the changing consumer behaviour. Using our comprehensive services, we find the answers to the most of your questions! Follow this link to know more https://insighttellers.com/services/quantitative-research-market

[insightsopinion01]

Boost Customer Loyalty with Data-Driven Personalization

Data can help businesses understand their customers, personalize experiences, and build lasting relationships, which can lead to increased customer loyalty. Invest in your customers. Invest in Data.

[marketxcel]

5 Methods of Data Collection for Quantitative Research

Discover five powerful techniques for gathering quantitative data in research, essential for uncovering trends, patterns, and correlations. Explore proven methodologies that empower researchers to collect and analyze data effectively.

[tenth-sentence]

However, UV/visible spectroscopy is used widely in detectors for the analysis of liquid and gas samples as it can detect very low concentrations of analyte and provides quantitative data.

"Chemistry" 2e - Blackman, A., Bottle, S., Schmid, S., Mocerino, M., Wille, U.

[beemovieerotica]

transphobes & conservatives throw around the "80% of trans children desist" statistic, and it comes from the average of a few quantitative studies that did produce those numbers

and they're relying on people to not have the knowledge to actually dig into these things, analyze the statistics, and question the methodologies in a scientific way

if you're curious at all how to debate these claims when people bring it up, i've summarized a meta-review below:

the biggest, most glaring issue of these studies is sample size and participant selection -- Baer Karrington, MD opened up these papers and found that one of the 4 studies (yes, the 80% number comes from the average of 4 studies, as of 2022) had identified nearly 300 eligible participants and then selected 132 of them, and we don't know why.

it's normal to screen out participants for psych & medical studies for any number of reasons, but you have to be completely transparent about why you're excluding them - and the researchers never told us. we can't know if you deliberately or subconsciously chose people who would confirm your hypothesis, which calls into question the data you collected.

another study was unable to contact 24 of the original participants out of 77, and then automatically classified the uncontactable participants as desisters. this isn't good science. i'm hesitant to even call it science.

the third study didn't list how many participants were included, but the assumption is that it was 10 people.

the fourth study had 25.

and across all of this research into desistance, including dozens of non-quantitative studies, case studies, and interviews, the researchers give us different definitions of desistance

(wouldn't the most important part of a cohesive argument against childhood gender affirming care be a mutually understood definition of desistance)

included under the definitions of desisters are:

adults who decide to stop HRT for any reason. this includes children who underwent the puberty of their choice and then ceased medical intervention in adulthood, without ascertaining if the reason was that they were satisfied with their body post-treatment, or if they had or intended to de-transition back to a body reflecting their birth sex

people who may have initially begun as binary transgender but settled on a non-binary or gender expansive identity. one former trans woman is identified in the research as now going by they/them and ceased HRT, and the studies do not reach a consensus on whether non-binary identities are included in the transgender non-desisting category, or if it is considered desistance

children for whom medical transitioning is stopped at any point - with obvious difficulties around determining whether was initiated by parents or truly the child's wishes

people who never received medical intervention and no longer experience gender dysphoria in adulthood, regardless of whether they have socially transitioned, changed their name, or engaged in non-medical affirmations of identity

children who decide not to medically transition. yes, that's it. they have desisted by virtue of not seeking medical intervention for the way that they conceive of their identity

and the issue with qualitative studies is that doctors are specifically reporting on people who have come to them seeking their help, and while their stories are important, and desistance does happen, you cannot draw actionable statistics from a self-selecting pool of people

the bottom line is that we have a double digit number of subjects across four questionable quantitative studies that gives us the repeatedly quoted 80%, and this is supposed to predict how several million children around the world will operate - and that's not how science works

[uncharismatic-fauna]

Hey, you! Do you work in STEM at an academic institution (as a student, teacher, researcher, etc.)? Then you should take this survey!

It's being conducted by PhD candidate Rin Krichilsky at Columbia University; the goal is to collect quantitative data on experiences across departments, institutions, and levels of the academic hierarchy (faculty, grad students, undergrads)the results will contribute to a write-up on advocating for safer STEM environments. The survey is 100% anonymous, and all the questions are optional. It only takes a few minutes, so I highly encourage anyone learning or working in STEM to fill it out-- especially if you're trans!

[literaryvein-reblogs]

Writing Notes: Case Study

Case Study - a highly detailed analysis of a particular subject, usually involving multiple sets of quantitative data observed over a period of time that allow researchers to draw conclusions in the context of the real world.

Throughout the years, the results of case study research have given us a greater and more holistic understanding in fields such as medicine, political and social sciences, and economics.

Researchers have used case studies to explore relationships between variables and a central subject, whether that subject be a human's reaction to medication, a country’s reaction to an economic crisis, or the effect of pesticides on crops over a period of time.

This methodology relies heavily on data collection and qualitative research to answer hypotheses in multiple fields.

Types of Case Studies

There are several different kinds of case studies. Here are a few:

Illustrative case study: Researchers use observations on every angle of a specific case, generally resulting in a thorough and deep data analysis.

Exploratory case study: Primarily used to identify research questions and qualitative methods to explore in subsequent studies, this type of case study is frequently in use in the field of political science.

Cumulative case study: This type relies on the analysis of qualitative data gathered over a range of timelines, which can draw new conclusions from old research methodology or studies.

Critical instance case study: Used to answer questions about the cause and effects of a particular event, critical instance case studies are helpful in cases that pose unique perspectives on otherwise established truths.

Marketing case study: This type of case study evaluates the quantifiable results of a marketing strategy, new product, or other business decision.

Examples of Case Studies

Here are a three examples of case studies in different fields:

Content marketing: In the marketing context, case studies typically explain how the business responded to the needs of a certain client, and whether or not the response was effective. Since these types of case studies are a tool to attract new customers rather than to merely share information, they should contain clear headings, attractive fonts, and infographic data that is easy to interpret.

Neuroscience: The tragic case of Phineas Gage allowed researchers to observe the changes in behavior and personality he experienced after surviving a horrific railroad accident that damaged parts of his brain. This led to a better understanding of the relationship between our frontal lobe and emotional functioning. This type of research is an example of a case study that would be impossible to ethically replicate in a laboratory, but nonetheless was a breakthrough in neuroscience and health care.

Psychoanalysis: Modern talk therapy owes much to the individual case of Anna O, otherwise known as Bertha Pappenheim. While living in Vienna in 1880, she began experiencing severe hallucinations and mood swings. Joseph Bruer, a pioneer in psychoanalysis, took Bertha under his care, and after multiple sessions where she discussed her inner emotional state and fears with Bruer, her symptoms waned. This case study is often seen as the first successful example of psychoanalysis.

Benefits of a Case Study

A case study can allow you to:

Collect wide-reaching data: Using a case study is an excellent way to gather large amounts of data on your subject, generally resulting in research that is more grounded in reality. For example, a case study approach focused on business research could have dozens of different data sources such as expense reports, profit and loss statements, and information on customer retention. This collected data provides different angles you can use to draw conclusions in a real-life context.

Conduct studies in an accessible way: You do not need to work in a lab to conduct a case study. In a number of cases, researchers use case study methodology to study things that cannot be replicated in a laboratory setting, such as observing the spending habits of a group of people over a period of months.

Reduce bias: Since case studies can capture a variety of perspectives, researchers’ own preconceptions on a subjects have less of an influence.

See connections more clearly: Through case studies, you can track paths of positive or negative development, which makes specific results repeatable, verifiable, and explainable.

Source ⚜ More: Notes & References ⚜ Writing Resources PDFs

[philomathresearch]

Understanding Regression Analysis in Quantitative Research: Unravelling the Complex Threads of Data

Quantitative research forms the backbone of modern scientific inquiry and business decision-making. In the vast landscape of statistical techniques, regression analysis stands out as a powerful tool that allows researchers to model complex relationships among variables. In this comprehensive guide, we will unravel the intricacies of regression analysis in quantitative research, shedding light on its principles, applications, and significance in shaping data-driven decisions.

The Foundation of Regression Analysis

Regression analysis, at its core, aims to understand the relationship between a dependent variable and one or more independent variables. It goes beyond simple correlations, delving into the nuances of cause-and-effect relationships within a dataset. Whether in the realms of economics, healthcare, marketing, or social sciences, regression analysis provides a systematic framework to analyze and interpret data.

Types of Regression Models

1. Linear Regression:        

Linear regression is the most basic form, exploring linear relationships between variables. It assumes a straight-line relationship between the variables and is widely used for prediction and forecasting.

2. Multiple Regression:

Multiple regression extends linear regression by considering multiple independent variables. It enables researchers to analyze the impact of several predictors on the dependent variable simultaneously, providing a more comprehensive understanding of the relationships.

3. Logistic Regression:

Logistic regression is employed when the dependent variable is categorical (binary or ordinal) rather than continuous. It's frequently used in predicting outcomes like yes/no responses or probabilities of an event occurring.

4. Polynomial Regression:

Polynomial regression deals with nonlinear relationships between variables. It fits a polynomial equation to the data, capturing more complex patterns that cannot be addressed by linear regression models.

Steps in Regression Analysis

1. Defining the Research Question:

The first step involves clearly defining the research question and identifying the variables of interest. Understanding the context is crucial for selecting the appropriate regression model.

2. Data Collection and Preparation:

Data collection involves gathering relevant data for the variables identified. The dataset must be cleaned, outliers removed, and missing values addressed to ensure the accuracy and reliability of the analysis.

3. Model Specification:

Choosing the right regression model is essential. Based on the type of variables and the research question, researchers select between linear, multiple, logistic, or other specialized regression models.

4. Parameter Estimation:

Regression analysis calculates the coefficients of the model, indicating the strength and direction of the relationships between variables. Various techniques, like the method of least squares, are employed to estimate these parameters.

5. Model Evaluation:

Evaluating the regression model involves assessing its goodness of fit, checking assumptions, and validating its predictive power. Techniques such as R-squared, residuals analysis, and cross-validation play a crucial role in this step.

6. Interpretation and Inference:

Interpreting the results is the final step. Researchers analyze the coefficients to understand the relationships and draw meaningful conclusions. Inferential statistics help in making broader generalizations about the population based on the sample data.

Applications of Regression Analysis

1. Economics and Finance:

Regression models are used to analyze economic indicators, stock prices, and market trends, enabling investors and policymakers to make informed decisions.

2. Healthcare and Medicine:

Regression analysis helps in predicting disease outcomes, analyzing patient data, and understanding the effectiveness of treatments, aiding healthcare professionals in optimizing patient care.

3. Marketing and Consumer Behavior:

Marketers use regression analysis to study consumer preferences, buying patterns, and the impact of advertising, enabling companies to tailor their strategies for maximum impact.

4. Social Sciences:

Sociologists and psychologists employ regression analysis to study various social phenomena, including crime rates, education outcomes, and behavioral patterns, leading to valuable societal insights.

The Significance of Regression Analysis

Regression analysis holds immense significance in the realm of quantitative research for several reasons:

1. Causality Inference:

Regression analysis enables researchers to infer causal relationships between variables, providing deeper insights into the underlying mechanisms at play.

2. Predictive Power:

Regression models can make accurate predictions based on historical data, allowing businesses and researchers to forecast trends and plan accordingly.

3. Data-driven Decision Making:

In an era where data-driven decisions are paramount, regression analysis provides a robust framework for businesses and policymakers to base their strategies on empirical evidence.

4. Continuous Improvement:

By analyzing regression results, businesses can identify areas for improvement, optimize processes, and enhance the quality of products and services, leading to sustainable growth.

Conclusion

In the intricate tapestry of quantitative research, regression analysis stands tall as a beacon of insight and understanding. Its ability to unravel complex relationships within datasets empowers researchers, businesses, and policymakers to make informed decisions that shape our world.

At Philomath Research, we recognize the transformative power of regression analysis. Our dedicated team of experts utilizes advanced statistical techniques, including regression analysis, to deliver unparalleled insights to our clients. By embracing the nuances of quantitative research, we pave the way for innovation, growth, and progress.

Embrace the power of regression analysis, and unlock the secrets hidden within your data. Visit Philomath Research to explore our comprehensive suite of quantitative research services and embark on a journey towards data-driven excellence. Together, let's illuminate the path to a future shaped by knowledge, precision, and informed decision-making.

[insighttellers]

Qualitative Research for Comprehensive Data Insights

Numerous academic fields, including social science, market research, and psychology, heavily rely on qualitative analysis. Qualitative analysis primary purpose is to describe the subject in detail so that researchers can better understand its intricacies and nuances. When context and subjective information are essential for undertaking social, cultural, or psychological research, this method is especially helpful. Follow this link to know more https://insighttellers.com/blog/qualitative-research-for-comprehensive-data-insights

[archaic-stranger]

the biophysics students

examining life on all possible scales

reading a dozen papers on just one molecule

marveling at the work of early x-ray crystallographers

untangling a complex NMR spectrum as if it's a logic puzzle

deducing a chemical structure one piece at a time

hours spent perfecting a computational model

grounding your work in quantitative theory

a disciplined approach to problem-solving

the satisfaction of clean mass spec data

becoming comfortable with complicated equations

chilly air in the temperature-controlled equipment room

understanding the physics that grounds all larger phenomena

pages of instrument printouts cluttering your desk

seeing the contributions of a single atom to a wider system

safety goggles sized perfectly to fit your face

diagraming electron spins and magnetic fields

loyalty to your favorite graphing software

savoring a cup of coffee while you wait to collect your data

dreaming of the contributions your work will make one day

late nights at the lab computer

doodling protein ribbon diagrams on your homework

[marketxcel]

What Is Market Research: Methods, Types & Examples

Learn about the fundamentals of market research, including various methods, types, and real-life examples. Discover how market research can benefit your business and gain insights into consumer behavior, trends, and preferences.

[covid-safer-hotties]

MPXV and SARS-CoV-2 in the air of nightclubs in Spain - Published March 24, 2023

The COVID-19 pandemic has highlighted the relevance of airborne transmission of respiratory viruses.1 The risk of airborne SARS-CoV-2 exposure in public indoor spaces, in addition to hospitals, has been debated but experimental evidence is scarce.2 The mpox (formerly known as monkeypox) outbreak, a WHO Public Health Emergency of International Concern, primarily affects men who have sex with men (MSM). Monkeypox virus (MPXV) transmits by contact with skin lesions, fomites, and respiratory secretions,3 but detection of MPXV DNA in hospital air samples opens the possibility of alternative transmission routes.

We monitored SARS-CoV-2 and MPXV genomes in the air in six bar areas and one dark room (sex room) in Madrid nightclubs frequently visited by MSM during four weekend days in 2022 (July 8, July 16, Aug 8, and Nov 5). To sample aerosols, air samples were collected in nanofibre filters3 located behind the club bar or in a central location of the dark room away from customers (>2 m distance), and viral genomes were detected by quantitative PCR.

All air samples from July were positive for SARS-CoV-2, with 12 (86%) of 14 samples containing more than 50 genomes per m3, and three samples even reaching more than 1000 genomes per m3. These findings were consistent with epidemiological data that showed a high prevalence of COVID-19 among people older than 60 years in Spain at the time. All except one of the air samples from August and November were negative for SARS-CoV-2. On July 8, which coincided with the gay pride parade in Madrid, MPXV DNA was undetectable in the air, with the exception of one sample, and on July 16, it was detected in two samples. MPXV in the air had increased considerably on Aug 8, with four (57%) of seven positive samples containing more than 100 genomes per m3, or even more than 1000 genomes per m3 in one case; this date coincided with the peak incidence of mpox in Spain. High viral loads in the air were detected in the dark room but also in bar areas, sometimes even at higher concentrations. MPXV was undetectable in November. Carbon dioxide concentrations were very high in all nightclubs, indicating poor ventilation and a high risk of airborne transmission.

To our knowledge, this is the first evidence of airborne SARS-CoV-2 and MPXV in nightclubs. Aerial virus monitoring corresponded with epidemiological incidence, indicating that it is a reliable tool to evaluate environmental risks of infection. MPXV was previously detected in the air of health centre consulting rooms,4 and we showed high virus levels in the air of indoor public spaces, presumably exhaled from people who were infected with MPXV. This finding suggests that MPXV exposure occurs beyond skin or sexual contact, and future studies to address airborne monkeypox virus transmission are warranted. If COVID-19 or mpox cases rise in the future, people attending mass events or indoor public entertainment venues should be made aware of the risk of airborne exposure to these viruses.

[spadesurvey]

Top 5 Market Research Companies in Malaysia

Table of Contents:

Market Research in Malaysia

How Do Market Research Companies in Malaysia Works?

Top 10 Market Research Companies in Malaysia

How Spade Survey Works

Conclusion

Malaysia has the perfect location for medical device producers, distributors, and investors to access new markets in Southeast Asia and beyond. By utilizing data-driven techniques and substantial expertise from several fields, we can help prospective customers and investors navigate the intricate details of the Malaysian healthcare system and identify the most promising opportunities for expansion.

In this blog post, we’ll examine five market research companies that help companies of all sizes and industries better understand their target markets and provide incentives for conducting research.

Whether you’re searching for competition intelligence, market segmentation, or consumer insights, these firms offer the know-how to deliver insightful results that inspire more research and creativity.

Market Research in Malaysia

Market research helps in improving your knowledge of your target audience by methodically obtaining and assessing data on your clientele. To help you make better decisions about your operations, target market, and business plans, it also entails investigating competitors and market trends.

Malaysia is located in the continental area of Asia. It is also a part of an enormous archipelago that extends westward from New Guinea and the Philippines to Sumatra. For this reason, Malaysia acts as a bridge connecting the islands to mainland Asia. It also acts as a gateway to the Indian Ocean and the China Sea. Because of its location, Malaysia is extremely valuable to both Southeast Asia and the rest of the world.

Spade Survey is among the leading Market Research Companies in Malaysia specialized in Asia & International Market Research and Data Collection Services. We are a full-service market research firm in Malaysia that offers both qualitative and quantitative research. We do research to gain customer insights, and then use our analysis and experience to provide meaningful, practical, and occasionally inspired recommendations.

How Do Market Research Companies in Malaysia Works?

Defined as a systemized process of gathering data from the target market and customers, market research plays a huge role in how companies can transform businesses successfully. Integral in determining if products or services are viable and if it’s something potential customers will buy, it helps you as the owner to make decisions on whether to launch it or look for other business opportunities.

Even major corporations do not forego this process and work with market research companies because of all the benefits they can get from it. When collecting data internally or through the assistance of a firm, the whole process involves:

Identifying the purpose of the research

Collecting and assessing the data from the market

Analysing and interpreting the data assessed earlier

Forwarding the final report to the client company

Business to business marketing research makes it possible for you to gather information and connect with your customers as you learn who they are, their wants and needs, their perceptions, their frustrations, etc.

List of the Top Market Research Companies in Malaysia

Here are some top market research firms that can assist you in expanding your view of the media and competitor landscape surrounding your company.

Market Research Company #1: TQPR Malaysia Sdn Bhd

Total Quality Public Relations (TQPR) Malaysia is the best market research company in Malaysia an independent strategic communications consultancy. TQPR based in Kuala Lumpur has offices in Thailand, Malaysia, and Vietnam, with affiliates throughout Southeast Asia.

It is also a member of The Worldcom Public Relations Group, the world’s largest alliance of independent public relations firms. For over 25 years, TQPR has been connecting businesses with Malaysian audiences. TQPR Malaysia is extremely adaptive, versatile, and responsive when clients require it. Total Quality Public Relations (TQPR) is a strategic communications consulting firm.

Services: Public Relations and logistical Support for PR Agency, Branding & PR for Telecommunications Company, PR Services for Convention Center

Foundation Year: 1995

Company Size: 2-9 employees

Address: Plaza Damas, L-2-9 Plaza Damas, 60, Jalan Sri Hartamas 1, Taman Sri Hartamas, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Website: www.tqpr.com

Market Research Company #2.Spade Survey

Spade Survey is a global market research firm in Malaysia that excels in market analysis and strategy reports. Spade Survey in-depth research and analysis are invaluable for companies looking to expand into new markets or adapt their strategies to stay competitive and thrive in an ever-changing global economy.

Spade Survey research methodologies and international presence make them a reliable partner for businesses seeking to build strong customer relationships and make data-driven decisions.  

Services Online Research, healthcare panel, Sample, Survey, physician panel, Research Support, Fieldwork in the Philippines, and fieldwork in Malaysia

Company size: 11-50 employees

Foundation Year: 2011

Address: Spade Survey, Office No – 1209, 12th Floor, Gaur City Mall, Sector 4, Greater Noida West, UP-201306.

Website: www.spadesurvey.com

Market Research Company #3 : METRIX RESEARCH SDN BHD

Metrix Research is a top market research company in Malaysia that provides marketing research and business intelligence solutions. Their goal has always been to provide better focus to clients and to redefine how research is to be approached.

They believe that a research agency should never function like a factory with robots that monotonously churn out mindless data. Instead, they believe, as a research specialist, it is their mission to see beyond data and unearth great insights.

At METRIX Research, they don’t let research remain at the grey data stage. Instead, they take it further and transform it into colourful solutions.

Services: Industrial /Business Research, Marketing research, Social and Political Research, Shopping research

Foundation Year: 2002

Company size: 40 employees

Address : METRIX RESEARCH SDN BHD (638135-M) No. 9.07, Level 9, The Heritage House,No. 33 Jalan Yap Ah Shak, 50300 Kuala Lumpur. Malaysia

Website: www.metrix.com.my

Market Research Company # 4: Acorn Marketing & Research Consultants (M) Sdn Bhd

ACORN is one of the best market research companies in Malaysia. They are equipped with multi-disciplinary skills, enabling them to approach issues with a multi-dimensional perspective. Their growth in almost thirty years has been attributed to our commitment to think together with clients. For this reason, they have gained a reputation for quality, insightful, actionable research for marketing decisions. They provide confidence to clients to grow in their business and come in the top 10 market research company in Malaysia

Services: Market Segmentation Study, Brand Equity Study, Brand and Ad Monitoring, Product Values Probe, Product Acceptance Test, Pricing Research, Communication Concept Research, Conjoint Modelling, Mobile and online surveys, Brand Strategy Development, Brand Activation ��� internal brand alignment, marketing communications, brand guidelines

Foundation Year: 1986

Company Size: 64 employees

Address: Lot 12-01, 12th Flr., Blk. B, HP Towers,12, Jalan Gelenggang, Damansara Heights

50490 KUALA LUMPUR W. Persekutuan Malaysia

Website: www.acornasia.com

Market Research Company #5: Central Force International Sdn Bhd

Central Force launched as a tiny team of five in 1996 and has grown to more than 50 permanent employees and over 200 part-time employees. Central Force operates two call centers, each of which can accommodate up to 80 CATI stations at any given time. To suit your every fieldwork demand, Central Force also offers its own on-premise data centre, as well as focus group and event hall facilities.

As the best market research company in Malaysia that has a proven track record of delivering quality and consistent data. Their team is highly experienced in conducting a variety of data collection methods, including CATI, CAPI, in-depth interviews, Focus groups, Ethnography, Diary, Assisted Shopping, and Mystery Shopping  amd many more. As a member of ESOMAR, Market Research Society Malaysia, and the Mystery Shopping Professionals Association, Central Force is proving themselves as the highest standards of ethics and professionalism in the industry.

Services: Agriculture, Healthcare / Pharmaceutical Business-to-business, Concept development & Strategy, Concept Testing, Public Opinion Research, Retail Research, Mystery Shopping, Data Collection / Field Service, Field Department – Independent, Qualitative, Focus groups, Quantitative, CAPI, CATI

Foundation Year: 1996

Company Size: 50 Employees

Address: CENTRAL FORCE INTERNATIONAL Kuala Lumpur, Malaysia 

Website: www.cforce-int.com

How Spade Survey Help

We recognize the worth of being the best source of information about your position relative to your market and competitors as one of the top market research companies in Malaysia.

According to the Spade Survey, the marketing strategy of a company needs a strong base that is produced by strategic analysis and research. The first step in the approach taken by the Best Market Research Consultants in Malaysia, like Spade Survey, is to get a thorough grasp of which you are, what you offer, and why prospective clients need to choose you over your rivals. Our marketers will thoroughly research your firm, its offerings, competitors, and the market in order to create a winning marketing plan for you.

Market research consulting firms may be able to help you gain a greater understanding of the target industry through data analysis and the production of significant insights into the market position. It provides company owners with a thorough grasp of the sector by gathering data from the ground up.

Developing an in-depth understanding of your market will assist you in designing a marketing campaign that will successfully attract potential customers. Understanding your market will enable you to create and launch goods that will meet its demands. More importantly, by conducting market research, you may precisely understand the market segments that comprise your clientele.

Conclusion:

We reviewed the Top 5 Market Research Companies in Malaysia that offer the best services worldwide. Market research firms provide numerous advantages to businesses by utilizing rewards and incentives across divisions. Market research may help firms make educated decisions, manage risks, and improve overall performance by analysing customer behavior and spotting market opportunities.

Companies may remain ahead of their competition, innovate their products and services, and improve consumer satisfaction by harnessing the expertise of market research organisations. Market research is a critical instrument that businesses should not disregard in today’s competitive business world.

If you’re looking for top market research companies in Malaysia, Spade Survey is one of the leading market research firms that work with businesses all around the globe, including MENA, South Asia, and the Americas. Our fact-based research studies provide strategic guidance to our clients, and we can produce research reports in brief, simply consumable versions as well as full-length, extensive reports based on your needs.

Contact us right away if you want to learn more about our services and how we can help your company.

[destinationtoast]

*waves shyly* Hello!! First off, I absolutely adore all of your stats and get excited when you post new ones -- thank you so much for all that you do!

Secondly, a friend and I have been discussing fandom longevity lately, and I wondered if you have thoughts? Subjectively, it seems to us that new fandoms tend to have more quick bursts of fandom activity when a new season/movie/book/etc comes out that fades quickly with time, whereas older established fandoms have more staying power. I'm curious if you have any insight about whether this is objectively true in most cases or not, and as to whether or not the type of canon source material matters (eg show-based fandoms vs book-based fandoms). I hope you're having a great day <3

Hi there, and thanks! :D This is a great question, and one I have been having a bunch of conversations about lately.

I share this subjective experience -- it sure seems like the attention span of fans and lifespan of fandoms is shorter than it used to be, when I think of how quickly people stop talking about a bunch of newer movies and TV shows these days. And then I see some of the older fandoms like Harry Potter still producing a ton of new fanworks, and I think, "Wow, maybe new fandoms just don't have the staying power of older ones." At the same time, I also question how objectively true/simple that story is for a few reasons, including:

Memory bias: When we look back on the past, the fandoms we remember most are usually the ones that lasted a long time. So our estimates of past fandom longevity may be overly generous.

Changes to fandom size: Maybe any changes to fandom lifespan are mostly due to some other change, like fandom size... Attention is more splintered these days than it used to be across more streaming services/etc, and I think there are more, smaller fandoms than there used to be. Maybe if a fandom doesn't get really huge, it's just not likely to last that long.

For TV fandoms -- changes to canon release schedule: most TV shows used to have seasons that lasted most of the year, so they had a lot more reason to stay in the public mind longer. Now many seasons are shorter and sometimes drop all at once. Perhaps if we compared popular TV procedurals with 22 episodes/season from now vs. ~a decade ago, we'd see similar patterns of fandom activity?

I've been thinking about ways to try to gather quantitative data about the changes, and testing out a few methods. A few ideas I've had:

Look at the Tumblr official lists of top fandoms and see whether the top fandoms tend to leave the top 20 rankings faster now than they used to. (The Tumblr rankings go all the way back to 2013 on a yearly basis, at least -- I'm not sure how long they've been releasing the weekly lists; those may have started later.)

Look at AO3 fandom activity after new canon infusions - how quickly does activity drop off after a new movie/book/video game release, or after a TV season ends? How has the rate of activity dropoff changed over the years? (And how much of that seems to be explained by other factors, like fandom size?)

See how quickly AO3 authors/creators tend to migrate to new fandoms, and how that's changed over time - many authors tend to be active in multiple fandoms, so we'd have to define what it means to migrate to a new fandom, but I think we could do so in a way that would allow us to look for changes.

Look at Tumblr, Twitter/X, and/or Reddit activlty after new canon infusions - same as AO3, but on a platform where people are posting shorter content and there's more of a discussion. (This data would be harder to collect, though.)

I'd love to also hear other ideas. I think I'm going to need some volunteers to help gather data if I do any of the above, though... Readers, if you'd be interested in helping to gather data for an hour or more to help investigate this question, please reply/DM and let me know! And/or join the new fandom-data-projects community.

Also if any readers know of anyone else who has looked into this/similar questions, I'd love to hear about it!