Statistics For Psychology

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The fourth edition of this popular text uses definitional formulas to emphasize concepts of statistics, rather than rote memorization. This approach constantly reminds students of the logic behind what they are learning, and each procedure is taught both verbally and numerically, which helps to emphasize the concepts. Thoroughly revised, with new content and many new practice examples, this text takes the reader from basic procedures through analysis of variance (AnoVA). Students cover statistics and also learn to read and understand research articles. Features Reorganization–The self-contained chapters on correlation and regression have been moved after t-test and analysis of variance. Writing revisions–The authors have thoroughly reviewed every sentence, simplifying constructions and terminology wherever possible and sometimes rewriting from scratch entire paragraphs or sections. Interesting examples throughout—Often include studies of or by researchers of diverse ethnicities. Table Of Contents Displaying the order in a group of numbers. Central tendency and variability. Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability. Introduction to hypothesis testing. Hypothesis testing with means of samples. Making sense of statistical significance: Effect size and statistical power Introduction to the t test: Single sample and dependent means. The t test for independent means. Introduction to the analysis of variance. Factorial analysis of variance. Correlation. Prediction. Chi-square tests. Strategies when population distributions are not normal: Data transformations and rank-order tests. Integration and the general linear model Making sense of advanced statistical procedures in research articles