Quantitative Methods in Psychology(Created by APA) This book was prepared as a text for a graduate-level course at the State University of Iowa, taken principally by students of experimental psychology. The course, carrying the same title and having about the same scope as the book, was an outgrowth of the common observation that most graduate students of psychology are initially unable to digest theoretical and experimental papers containing anything beyond the most elementary of mathematical formulations. The book, although loaded with mathematical proofs, rules, and formulas, should not be regarded as a likely substitute for any regular text in mathematics. It is not the equivalent, for example, of an elementary text in calculus. It was not intended to be. The amount of straight mathematics included, as well as the kind, especially the sampling from calculus, was determined by the over-all aim of both the course and the book-to provide the student with enough information to enable him to begin using mathematical procedures in his scientific ventures and to whet his appetite for further knowledge of mathematics. (PsycINFO Database Record (c) 2008 APA, all rights reserved). |
Contents
Preface | 1 |
LINEAR FUNCTIONS | 10 |
LOGARITHMS AND LOGARITHMIC SCALES | 37 |
Copyright | |
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antilog applied assumed asymptotic average AY/AX beta coefficients binomial binomial distribution cent level Chap coefficient column of Table computed constant corresponding curve in Fig degrees of freedom deviations differentiation distribution function dy/dX employed equal to zero equation errors estimate example experimental conditions exponential exponential function expression F test follows formula gamma function given Gompertz curve hypothesis independent inflection point integral learning least-squares linear logarithms magnitude mathematical measures method negatively accelerated normal curve normal distribution number of df obtained occur plot Poisson distribution positive probability procedure proportion Psychol quantity r₁ ratio regression relationship represented respect response sample scores shown slope solution solve straight line subjects subtract sum of squares summation symbols theoretical frequencies tion trend trials value of F value of x² variable variance velocity X₁ Y₁ ΣΥ ΣΧ