Overview

Students have an almost insurmountable task in understanding statistics in the psychological sciences and applying them to a research study. This textbook tackles this source of stress by guiding students through the research process, start to finish, from writing a proposal and performing the study, to analysing the results and creating a report and presentation. This truly practical textbook explains psychology research methods in a conversational style, with additional material of interest placed in focus boxes alongside, so that students don't lose their way through the steps. Every step is detailed visually with processes paralleled in both SPSS and R, allowing instructors and students to learn both statistical packages or to bridge from one to the other. Students perform hands-on statistical exercises using real data, and both qualitative and mixed-methods research are covered. They learn effective ways to present information visually, and about free tools to collect and analyse data.

Full Product Details

Author:   Anthony J. Girasoli (Eastern Connecticut State University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Weight:   0.500kg
ISBN:  

9781009361439

ISBN 10:   1009361430
Pages:   552
Publication Date:   02 October 2025
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available, will be POD  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. This is a print on demand item which is still yet to be released.

Table of Contents

Preface; Introduction; 1. Developing a Research Study Proposal; 2. Developing a Research Question and Hypotheses, Choosing Statistics, and Estimating the Sample Size; 3. Experimental vs. Correlational Studies, Measuring Constructs, and Internal Consistency Reliability; 4. Demographics, Creating Surveys, and Data Management; 5. Qualitative and Mixed-Methods Approaches; 6. Beginning Your Analysis: Descriptive Statistics and Correlations; 7. Relationships Between Nominal Data: Chi-Square and McNemar's Tests; 8. Comparing Means with Two Groups: The t and U Tests; 9. Comparing Means with Multiple Groups: The Analysis of Variance (ANOVA); 10 Multiple Regression Analysis: Predicting a Continuous Variable; 11. Binary Logistic Regression Analysis: Predicting a Dichotomous Variable; 12. Data Visualization and Interpretation; 13. Pulling it All Together: The Research Paper, the Research Poster, and Everything; Appendix A: Installing R.

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Author Information

Anthony Girasoli is a lecturer in the Psychological Science department at Eastern Connecticut State University. His research is primarily rooted in cognitive psychology, where computer science meets theories and methods of psychology. Anthony is a member of the American Psychological Association and reviews articles for Computers & Education.

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