Paul Richardson, Laura Machan

Jamovi for Psychologists (eBook, PDF)

• Format: PDF

Produktbeschreibung

This 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 orData Analysis.

Produktdetails

• Verlag: Bloomsbury eBooks UK
• Seitenzahl: 286
• Erscheinungstermin: 21. März 2021
• Englisch
• ISBN-13: 9781352011869
• Artikelnr.: 63283540

Autorenporträt

Paul Richardson is a Principal Lecturer and the Deputy Head of Psychology at Sheffield Hallam University, UK.

Inhaltsangabe

1. 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.

Rezensionen

Jamovi 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