Description
Book SynopsisThis textbook offers a refreshingly clear and digestible introduction to statistical analysis for psychology using the user-friendly jamovi software. The authors provide a concise, practical guide that takes students from the early stages of research design, with a jargon-free explanation of terminology, and walks them through key analyses such as the t-test, ANOVA, correlation, chi-square, and linear regression. The book features written interpretations to help learners identify relevant statistics along the way. With fascinating examples from psychological research, as well as screenshots and activities from jamovi, this text is sure to encourage even the most reluctant statistics student. The comprehensive companion website provides an extra helping hand, with practice datasets and a full suite of tutorial videos to help consolidate understanding. This is essential reading for psychology students using jamovi for their courses in Research Methods and Statistics or Data Analysis.
Trade ReviewJamovi for Psychologists offers a complete overview of topics in introductory statistics in an easy, conversational tone. But what makes it especially valuable is its practical emphasis—how to use very accessible software, fully understand its output, and appropriately report the results. It’s the kind of book students will actually find useful! * Andy Luttrell, Ball State University, USA *
Jamovi for Psychologists is an excellent resource for those learning to use jamovi as part of a statistics course or for those seeking to better understand the wide range of statistical tests available in the software. The straightforward step-by-step instructions and conceptual framing of statistical analyses will help faculty make statistics and jamovi more accessible to students. * Andrew Mienaltowski, Western Kentucky University, USA *
Jamovi for Psychologists, is a friendly introduction to the accessible statistics package jamovi. It is well-pitched for psychologists beginning to learn about statistics and includes concise but thorough guides throughout. * Piers Fleming, University of East Anglia, UK *
Table of Contents1. Research Design 2. Data Preparation, Common Assumptions, and Descriptive Statistics 3. P-Values, Effect Sizes and 95% confidence intervals 4. Statistical Power 5. Reliability and Validity 6. Correlations 7. Chi Square 8. Independent T-Tests 9. Paired T-Tests 10. Comparing multiple means for Between-subjects designs (One-way ANOVA & Kruskal-Wallis) 11. Comparing multiple means for Repeated measures designs (one-way ANOVA and Friedman’s ANOVA) 12. Factorial ANOVA (assessing effects of multiple independent variables) 13. Simple, Multiple, and Hierarchical Linear Regression.
