Jamovi for Psychologists

Paul Richardson is a Principal Lecturer and the Deputy Head of Psychology at Sheffield Hallam University. His background is in neuropsychology and neuroimaging, but his particular interests are in the realm of atypical behaviours i.e. outside the usual normative range. Currently this centres on those who have been involved in accidents and may be malingering on tests of cognitive performance in order to appear more impaired (“faking bad”). Prior to lecturing, he was a post-doctoral researcher investigating neural correlates of impulsivity, reward processing and empathy in those with antisocial personality syndrome. Before that, he earned his MSc and PhD researching specific memory difficulties in boys with Klinefelter’s Syndrome and developmental amnesia.Laura Machan is an Associate Lecturer at Sheffield Hallam University and currently working towards a PhD in Developmental and Social Psychology – specifically, attachment theory in relation to adults and adolescents. Her other research interests include neuropsychology, dark triad/tetrad personalities, atypical development and SEND, and education. Prior to her work in higher education she worked in secondary education for 8 years alongside students with SEND. She also has 6 years’ experience working in applied research involving children and adolescents with SEND and life-limiting conditions.

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!

• 1. Research Design2. Data Preparation, Common Assumptions, and Descriptive Statistics3. P-Values, Effect Sizes and 95% confidence intervals4. Statistical Power5. Reliability and Validity6. Correlations7. Chi Square8. Independent T-Tests9. Paired T-Tests10. 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.