Statistical Methods for PsychologySTATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra. |
Contents
Grad | 1 |
Describing and Exploring Data | 15 |
Describing and Exploring Data | 16 |
Copyright | |
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analysis of variance Appendix assumption average B₁ behavior Bonferroni boxplot calculate cell Chapter chi-square comparisons confidence limits consider correlation coefficient critical value data in Exercise data set degrees of freedom dependent variable difference digits discussed equal equation error rate error term estimate example expected experimental fact familywise error rate Figure frequency H₁ histogram hypothesis testing important independent interaction interval linear log-linear models look main effects males measure median Minitab multiple N₁ normal distribution null hypothesis obtained overall parameter plot population predicted predictors probability problem procedures random ratio regression coefficients reject relationship represent residual sample mean sample sizes sample statistics sampling distribution scale scores significant simple effects SPSS standard deviation standard error statistics stem-and-leaf display subjects summary table sums of squares tion Total treatment Tukey Type I error X₁