Janczyk M. Understanding Inferential Statistics...2023 torrent

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What does this p-value actually mean ? And what is a significant result ? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and hypothesis testing: Readers learn the most commonly used procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) as well as the pitfalls of data analysis, and develop the understanding necessary to interpret results correctly. The individual chapters are supplemented by concrete evaluation examples from everyday research - including exemplary implementation with the programs SPSS and R. In addition to the classic methods, cross-references to current developments in psychological methodological research are also included. This book is a translation of the original German 3rd. edition of "Inferenzstatistik verstehen" by Markus Janczyk and Roland Pfister.
Preface to the English Translation (3rd Edition).
Preface to the 3rd Edition.
Preface to the 2nd Edition.
Preface to the 1st Edition.
Introduction and Descriptive Statistics.
Introduction to Inferential Statistics 1: Random Variables.
Introduction to Inferential Statistics 2: Population and Parameter Estimation.
Hypothesis Testing and Significance.
Difference Hypotheses for Up to Two Means: t-Tests.
Confidence Intervals.
Decision Errors, Effect Sizes, and Power.
One-Way Analysis of Variance (ANOVA).
Factorial Analysis of Variance (ANOVA).
Repeated-Measures Analysis of Variance (ANOVA).
Correlation and Regression.
Bayesian Alternatives.
Concluding Remarks.
References.
Index