The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences Volume 1: Building a Program of Research
Book contents
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I From Idea to Reality: The Basics of Research
- 1 Promises and Pitfalls of Theory
- 2 Research Ethics for the Social and Behavioral Sciences
- 3 Getting Good Ideas and Making the Most of Them
- 4 Literature Review
- 5 Choosing a Research Design
- 6 Building the Study
- 7 Analyzing Data
- 8 Writing the Paper
- Part II The Building Blocks of a Study
- Part III Data Collection
- Part IV Statistical Approaches
- Part V Tips for a Successful Research Career
- Index
- References
7 - Analyzing Data
from Part I - From Idea to Reality: The Basics of Research
Published online by Cambridge University Press: 25 May 2023
Book contents
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I From Idea to Reality: The Basics of Research
- 1 Promises and Pitfalls of Theory
- 2 Research Ethics for the Social and Behavioral Sciences
- 3 Getting Good Ideas and Making the Most of Them
- 4 Literature Review
- 5 Choosing a Research Design
- 6 Building the Study
- 7 Analyzing Data
- 8 Writing the Paper
- Part II The Building Blocks of a Study
- Part III Data Collection
- Part IV Statistical Approaches
- Part V Tips for a Successful Research Career
- Index
- References
Summary
This chapter provides an overview of the processes that are commonly used for analyzing data. Our intention is to explain what these processes achieve and why they are done. Analyzing data goes through four stages. For each stage, we explain the most important concept and then explain the practical steps that are involved. This begins with the data themselves as variables. Next, we move on to describing the data, their variance and covariance, with linear models. Next, we cover interpreting effects and focus on effect sizes. We end with a discussion of inferences about the population and how the presence of uncertainty has to be taken into account in reaching conclusions.
- Type
- Chapter
- Information
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral SciencesVolume 1: Building a Program of Research, pp. 125 - 155Publisher: Cambridge University PressPrint publication year: 2023
References
Further Reading
Barford, N.C. (1985). Experimental Measurements: Precision, Error and Truth, 2nd ed. Wiley.Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences. Psychology Press.Google Scholar
Edlund, J & Nichols, A.L (2019). Advanced Research Methods for the Social and Behavioural Sciences. Cambridge University Press.CrossRefGoogle Scholar
Efron, B. & Hastie, T. (2016). Computer Age Statistical Inference. Cambridge University Press.CrossRefGoogle Scholar
Ellis, P. D. (2010). The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Cambridge University Press.CrossRefGoogle Scholar
Harlow, L. L., Mulaik, S. A., & Stegier, J. H. (eds.) (2016). What If There Were No Significance Testing? Routledge.CrossRefGoogle Scholar
Hayes, A. F. (2013). Mediation, Moderation and Conditional Process Analysis. Guilford Press.Google Scholar
Pearl, J. (2009). Causality: Models, Reasoning and Inference, 2nd ed. Cambridge University Press.CrossRefGoogle Scholar
Rosenthal, R. & Rubin, D. B. (1982). A simple general purpose display of magnitude and experimental effect. Journal of Educational Psychology, 74, 166–169.Google Scholar
Rosnow, R. L. & Rosenthal, R. (1997). People Studying People: Artefacts and Ethics in Behavioural Research. Freeman and Co.Google Scholar
Watt, R. J. & Collins, E. C. (2019). Statistics for Psychology: A Guide for Beginners. Sage.Google Scholar