Quantitative Research Methods

Author:
Dr. Anna Neya Kazanskaia

Publisher:
NEYA Global Publishing

Year:
2025

DOI:
https://doi.org/10.64357/quantitative-research-methods-2025

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About the Book

Quantitative Research Methods is a comprehensive guide tailored to the unique needs of non-profit professionals, with a special focus on applications in low-resource, developing, and diverse cultural contexts. The book provides a step-by-step approach to understanding, designing, conducting, and reporting quantitative research, ensuring that organizations can gather reliable, actionable data to drive decision-making, advocacy, and program improvement.

From the foundations of quantitative methodology to advanced statistical analysis, the text combines theoretical clarity with practical instruction. Topics include survey design, sampling techniques, data collection strategies, descriptive and inferential statistics, multivariate analysis, and effective use of statistical software. The book also addresses how to adapt these methods to resource-limited settings while ensuring cultural sensitivity and ethical rigor.

Through real-world examples, templates, and expert insights, Quantitative Research Methods equips non-profit leaders, M&E specialists, and researchers with the skills needed to transform raw data into clear, persuasive evidence of impact. By the end, readers will be prepared not only to conduct high-quality research but also to communicate findings effectively to funders, stakeholders, and the communities they serve.

Key Topics

Fundamentals of quantitative research and its distinction from qualitative methods
Historical development, benefits, and limitations of quantitative approaches
Designing culturally sensitive and inclusive surveys
Sampling methods, sample size determination, and avoiding bias
Data collection strategies and integrity management
Descriptive statistics: measures of central tendency, dispersion, and visualization
Inferential statistics: t-tests, chi-square, ANOVA, and confidence intervals
Advanced techniques: multivariate analysis, longitudinal studies, structural equation modeling
Using statistical software for efficient analysis
Best practices for reporting research findings
Applications in program evaluation, advocacy, and needs assessment
Challenges and solutions for research in low-resource environments
Ethical principles: informed consent, confidentiality, and bias mitigation

Academic Value

This book is both a methodological reference and a practical manual for non-profit professionals who want to harness the power of quantitative research for greater impact. It bridges academic rigor with real-world applicability, enabling readers to conduct credible research that strengthens organizational strategy, accountability, and stakeholder trust.

Citation Formats

APA
Kazanskaia, A. N. (2025). Quantitative Research Methods. NEYA Global Publishing. https://doi.org/10.64357/quantitative-research-methods-2025

MLA
Kazanskaia, Anna Neya. Quantitative Research Methods. NEYA Global Publishing, 2025. https://doi.org/10.64357/quantitative-research-methods-2025

Chicago (Author–Date)
Kazanskaia, Anna Neya. 2025. Quantitative Research Methods. NEYA Global Publishing. https://doi.org/10.64357/quantitative-research-methods-2025

Harvard
Kazanskaia, A. N., 2025. Quantitative Research Methods. NEYA Global Publishing. Available at: https://doi.org/10.64357/quantitative-research-methods-2025

IEEE
A. N. Kazanskaia, Quantitative Research Methods. NEYA Global Publishing, 2025. doi: 10.64357/quantitative-research-methods-2025

References

Agresti, A., & Finlay, B. (2018). Statistical methods for the social sciences. Pearson.

Babbie, E. R. (2016). The practice of social research. Cengage Learning.

Bamberger, M., Rugh, J., & Mabry, L. (2012). RealWorld evaluation: Working under budget, time, data, and political constraints. Sage Publications.

Barnett, V. (2002). Sample survey principles and methods. Hodder Arnold.

Bland, M. (2015). An introduction to medical statistics. Oxford University Press.

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal.
https://doi.org/10.3316/QRJ0902027

Bradburn, N. M., Sudman, S., & Wansink, B. (2004). Asking questions: The definitive guide to questionnaire design. Wiley.

Bryman, A. (2012). Social research methods. Oxford University Press.

Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.
https://doi.org/10.4324/9781315757421

Cochran, W. G. (1977). Sampling techniques. Wiley.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

Czaja, R. F., & Blair, J. (2005). Designing surveys: A guide to decisions and procedures. Pine Forge Press.
https://doi.org/10.4135/9781412983877

De Vaus, D. (2013). Surveys in social research. Routledge.
https://doi.org/10.4324/9780203519196

Denzin, N. K., & Lincoln, Y. S. (2011). The Sage handbook of qualitative research. Sage Publications.

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method. Wiley.
https://doi.org/10.1002/9781394260645

Enders, C. K. (2010). Applied missing data analysis. Guilford Press.

Field, A. (2018). Discovering statistics using IBM SPSS Statistics. Sage Publications.

Few, S. (2012). Show me the numbers: Designing tables and graphs to enlighten. Analytics Press.

Fink, A. (2012). How to conduct surveys: A step-by-step guide. Sage Publications.

Fowler, F. J. (2009). Survey research methods. Sage Publications.
https://doi.org/10.4135/9781452230184

Fowler, F. J. (2013). Survey research methods. Sage Publications.

Frankel, M. R., & Frankel, L. R. (1982). A review of measurement error effects on the analysis of survey data. Wiley.

Frost, J. (2019). Regression analysis: An intuitive guide for using and interpreting linear models. Statistics By Jim Publishing.

Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine Publishing.
https://doi.org/10.1097/00006199-196807000-00014

Glantz, S. A. (2012). Primer of biostatistics. McGraw-Hill Medical.

Green, S. B., & Salkind, N. J. (2016). Using SPSS for Windows and Macintosh: Analyzing and understanding data. Pearson.

Groves, R. M., et al. (2004). Survey errors and survey costs. Wiley.

Groves, R. M., et al. (2009). Survey methodology. Wiley.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis. Cengage Learning.

Henry, G. T. (1990). Practical sampling. Sage Publications.
https://doi.org/10.4135/9781412985451

Hennekens, C. H., & Buring, J. E. (1987). Epidemiology in medicine. Little, Brown.

Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences. Houghton Mifflin.

Hox, J. J., Moerbeek, M., & van de Schoot, R. (2017). Multilevel analysis: Techniques and applications. Routledge.
https://doi.org/10.4324/9781315650982

Johnson, R. A., & Wichern, D. W. (2019). Applied multivariate statistical analysis. Pearson.

Kalton, G. (1983). Introduction to survey sampling. Sage Publications.
https://doi.org/10.4135/9781412984683

Kaufman, L., & Rousseeuw, P. J. (2009). Finding groups in data: An introduction to cluster analysis. Wiley.

Kazanskaia, A. N. (2025). Qualitative research methods. NEYA Global Publishing.
https://doi.org/10.64357/qualitative-research-methods-2025

Kazanskaia, A. N. (2025). Advanced data analytics techniques for social impact. NEYA Global Publishing.
https://doi.org/10.64357/advanced-data-analytics-social-impact-2025

Kazanskaia, A. N. (2025). Data analysis: Turning information into insight. NEYA Global Publishing.
https://doi.org/10.64357/data-analysis-insight-2025

Kish, L. (1965). Survey sampling. Wiley.

Kleinbaum, D. G., & Klein, M. (2010). Logistic regression: A self-learning text. Springer.
https://doi.org/10.1007/978-1-4419-1742-3

Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Press.

Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Wiley.
https://doi.org/10.1002/9781119055259

Krosnick, J. A. (Ed.). (2018). The Palgrave handbook of survey research. Palgrave Macmillan.

Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In Marsden & Wright (Eds.), Handbook of survey research. Emerald.

Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
https://doi.org/10.4135/9781071878781

Lantz, B. (2015). Machine learning with R: Expert techniques for predictive modeling. Packt Publishing.

Levy, P. S., & Lemeshow, S. (2013). Sampling of populations: Methods and applications. Wiley.

Little, R. J., & Rubin, D. B. (2019). Statistical analysis with missing data. Wiley.
https://doi.org/10.1002/9781119482260

Lohr, S. L. (2010). Sampling: Design and analysis. Brooks/Cole.

Marsden, P. V., & Wright, J. D. (2010). Handbook of survey research. Emerald Group Publishing.

Maxwell, J. A. (2013). Qualitative research design: An interactive approach. Sage Publications.

McClave, J. T., & Sincich, T. (2017). Statistics. Pearson.

Moore, D. S., McCabe, G. P., & Craig, B. A. (2014). Introduction to the practice of statistics. Freeman.

Moore, D. S., Notz, W. I., & Flinger, M. A. (2013). The basic practice of statistics. Freeman.

Neuman, W. L. (2013). Social research methods: Qualitative and quantitative approaches. Pearson.

Osborne, J. W. (2013). Best practices in data cleaning: A complete guide to everything you need to do before and after collecting your data. Sage Publications.
https://doi.org/10.4135/9781452269948

Pagano, M., & Gauvreau, K. (2018). Principles of biostatistics. CRC Press.

Patton, M. Q. (2015). Qualitative research & evaluation methods. Sage Publications.

Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Sage Publications.
https://doi.org/10.4135/9781412984898

Presser, S., et al. (2004). Methods for testing and evaluating survey questions. Public Opinion Quarterly.
https://doi.org/10.1093/poq/nfh008

Rossi, P. H., Lipsey, M. W., & Freeman, H. E. (2004). Evaluation: A systematic approach. Sage Publications.

Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. Pearson.

Schaeffer, N. C., & Dykema, J. (2011). Questions for surveys: Current trends and future directions. Public Opinion Quarterly.
https://doi.org/10.1093/poq/nfr048

Schumacker, R. E., & Lomax, R. G. (2016). A beginner's guide to structural equation modeling. Routledge.
https://doi.org/10.4324/9781315749105

Scriven, M. (1991). Evaluation thesaurus. Sage Publications.

Siegel, A. F. (2016). Practical business statistics. Academic Press.

Skov, A. (2002). Survey sampling: Theory and methods. Chapman & Hall/CRC.

Smith, M. (2015). Research methods in accounting. Sage Publications.

Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Sage Publications.

Särndal, C.-E., Swensson, B., & Wretman, J. (2003). Model assisted survey sampling. Springer.

Tabachnick, B. G., & Fidell, L. S. (2018). Using multivariate statistics. Pearson.

Tashakkori, A., & Teddlie, C. (2010). SAGE handbook of mixed methods in social & behavioral research. Sage Publications.
https://doi.org/10.4135/9781506335193

Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research.
https://doi.org/10.1177/1558689806292430

Thompson, S. K. (2012). Sampling. Wiley.
https://doi.org/10.1002/9781118162934

Triola, M. F. (2018). Elementary statistics. Pearson.

Tufte, E. R. (2001). The visual display of quantitative information. Graphics Press.

Vickers, A. J. (2010). What is a p-value anyway? 34 stories to help you actually understand statistics. Addison-Wesley.

Weisberg, H. F. (2005). The total survey error approach: A guide to the new science of survey research. University of Chicago Press.
https://doi.org/10.7208/chicago/9780226891293.001.0001

Weiss, C. H. (1998). Evaluation: Methods for studying programs and policies. Prentice Hall.

Wiggins, G., & McTighe, J. (2005). Understanding by design. ASCD.

Wooldridge, J. M. (2016). Introductory econometrics: A modern approach. Cengage Learning.

Yin, R. K. (2018). Case study research and applications: Design and methods. Sage Publications.

About the Author

Dr. Anna Neya Kazanskaia is an internationally recognized strategist, educator, and author with over a decade of experience in the non-profit sector. Founder of NEYA Global and NEYA Global Publishing, she has developed a 100-book charity library to equip leaders, staff, and communities with actionable knowledge. Holding degrees in philosophy, law, and technology in education, she specializes in creating practical, resource-adapted solutions that drive measurable impact in challenging environments.