Statistics in Psychology Using R and SPSS - gebunden oder broschiert

EAN (ISBN-13): 9780470971246
ISBN (ISBN-10): 047097124X
Gebundene Ausgabe
Erscheinungsjahr: 2011
Herausgeber: John Wiley & Sons Inc

Buch in der Datenbank seit 2011-10-04T14:29:33+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-15T16:56:27+01:00 (Berlin)
ISBN/EAN: 9780470971246

ISBN - alternative Schreibweisen:
0-470-97124-X, 978-0-470-97124-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: kubinger, rasch, yanagida, kubin, klaus dieter, yanagi, yana
Titel des Buches: statistics using spss

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Daten vom Verlag:

Autor/in: Dieter Rasch; Klaus Kubinger; Takuya Yanagida
Titel: Statistics in Psychology Using R and SPSS
Verlag: John Wiley & Sons
564 Seiten
Erscheinungsjahr: 2011-12-09
Gewicht: 0,978 kg
Sprache: Englisch
81,90 € (DE)
No longer receiving updates
170mm x 250mm x 30mm

BB; gebunden; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Angewandte Psychologie; Statistics; Statistik; Statistics for Social Sciences; Statistik in den Sozialwissenschaften; Psychologie; Versuchsplanung; R (Programm); Psychology; Applied Psychology; Experimental Design; SPSS; Versuchsplanung; Angewandte Psychologie; Statistik in den Sozialwissenschaften

Introduction. 1 Concept of the Book. 2 Measuring in Psychology. 2.1 Types of psychological measurements. 2.2 Measurement techniques in psychological assessment. 2.3 Quality criteria in psychometrics. 2.4 Additional psychological measurement techniques. 2.5 Statistical models of measurement with psychological roots. 3 Psychology: An Empirical Science. 3.1 Gain of insight in psychology. 3.2 Steps of empirical research. 4 Definition: Character, Chance, Experiment, and Survey. 4.1 Nominal scale. 4.2 Ordinal scale. 4.3 Interval scale. 4.4 Ratio scale. 4.5 Characters and factors. II Descriptive Statistics. 5 Numerical and graphical Data Analysis. 5.1 Introduction to data analysis. 5.2 Frequencies and empirical distributions. 5.3 Statistics. 5.4 Frequency distribution for several characters. III Inferential Statistics for one Character. 6 Probability and distribution. 6.1 Relative frequencies and probabilities. 6.2 Random variable and theoretical distributions. 6.3 Quantiles of theoretical distribution functions. 6.4 Mean and variance of theoretical distributions. 6.5 Estimation of unknown parameters. 7 Assumptions: Random Sampling and Randomization. 7.1 Simple random sampling in surveys. 7.2 Principles of random sampling and randomization. 8 One Sample from one Population. 8.1 Introduction. 8.2 The Parameter mof acharacter modeled by a normally distributed random variable. 8.3 Planning a study for hypothesis testing with respect to m. 8.4 Sequential tests for the unknown parameter m. 8.5 Estimation, hypothesis testing, planning the study, and sequential testing concerning other parameters. 9 Two Samples from two Populations. 9.1 Hypothesis testing, study planning and sequential testing regarding the unknown parameters m1 and m2. 9.2 Hypothesis testing, study planning and sequential testing for other parameters. 9.3 Equivalence testing. 10 Samples from more than two Populations. 10.1 The various problem situations. 10.2. Selection procedures. 10.3 Multiple comparisons of means. 10.4 Analysis of variance. IV Descriptive and Inferential Statistics for two Characters. 11 Regression and Correlation. 11.1 Introduction. 11.2 Regression model. 11.3 Correlation coefficients and measures of association. 11.4 Hypothesis testing and planning the study concerning correlation coefficients. 11.5 Correlation analysis in two samples. V Inferential Statistics for more than two Characters. 12 One Sample from one Population. 12.1 Association between three or more characters. 12.2 Hypothesis testing concerning a vector of means m. 12.3 Comparisons of means and "homological" methods for matched observations. 13 Samples from more than one Population. 13.1 General linear model. 13.2 Analysis of covariance. 13.3. Multivariate analysis of variance. 13.4 Discriminant analysis. VI Model Generation and Theory-Generating Procedures. 14 Model Generation. 14.1 Theoretical basics of model generation. 14.2 Methods for determining the quality and excellence of a model. 14.2.1 Goodness of fit tests. 14.2.2 Coefficients of the goodness of fit. 14.2.3 Cross-validation. 14.4 Simulation: Non-analytical solutions to statistical problems. 15 Theory-Generating Procedures. 15.1 Descriptive statistics' methods. 15.2 Methods of inferential statistics.