Book — 1 online resource (xix, 286 pages) : illustrations
Preface. Measurement and Repeated Observations of Categorical Data: D. Andrich, Measurement Criteria for Choosing Among Models with Graded Responses. B.O. Muthn, Growth Modeling with Binary Responses. G. Arminger, Probit Models for the Analysis of Limited-Dependent Panel Data. Catastrophe Theory: H.L.J. van der Maas and P.C.M. Molenaar, Catastrophe Analysis of Discontinuous Development. P.C.M. Molenaar and P. Hartelman, Catastrophe Theory of Stage Transitions in Metrical and Discrete Stochastic Systems. Latent Class and Log-Linear Models: L.M. Collins, P.L. Fidler, and S.E. Wugalter, Some Practical Issues Related to Estimation of Latent Class and Latent Transition Parameters. T.D. Wickens, Contingency Tables and Between-Subject Variability. C.C. Clogg and W. Manning, Assessing Reliability of Categorical Measurements Using Latent Class Models. D. Rindskopf, Partitioning Chi-square: Something Old, Something New, Something Borrowed, but Nothing BLUE (Just ML). A. von Eye and C. Spiel, Nonstandard Log-Linear Models for Measuring Change in Categorical Variables. H.J. Khamis, Application of the Multigraph Representation of Hierarchical Log-Linear Models. Applications: M.J. Rovine and A. von Eye, Correlation and Categorization under a Matching Hypothesis. S.L. Hershberger, Residualized Categorical Phenotypes and Behavioral Genetic Modeling. Chapter References. Subject Index.
(source: Nielsen Book Data)
Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data. (source: Nielsen Book Data)
3rd ed. - Maidenhead ; New York : Open University Press, 2005.
Book — 1 online resource (xv, 209 pages) : illustrations
Preface to the third edition Study guide for students Acknowledgements Part I Introduction 1Research in psychology 2Experiments in psychology 3Selecting statistical tests 4Using statistical tests Part II Statistical tests for experiments 5Introduction to non-parametric tests 6Wilcoxin test (related) 7Mann-Whitney test (unrelated) 8Introduction to parametric t tests 9t test (related) 10t test (unrelated) 11Friedman test (related) 12Kruskal-Wallis (unrelated) Part III Analysis of Variance 13Introduction to ANOVA 14One-way ANOVA (unrelated) 15One-way ANOVA (related) 16Comparisons between ANOVA conditions 17Introduction to two-way ANOVA 18Two-way ANOVA (unrelated) 19Two-way ANOVA (related) Part IV Relationships between variables 20Chi square 21Pearson product moment correlation 22Introduction to simple linear regression 23Multiple regression 24General Linear Model
Answers to questions Recommended reading References
Statistical tables Decision Chart: inside back cover.
(source: Nielsen Book Data)
Praise for the first edition: "An excellent textbook which is well planned, well written, and pitched at the correct level for psychology students. I would not hesitate to recommend Greene and d'Oliveira to all psychology students looking for an introductory text on statistical methodology." Bulletin of the British Psychological SocietyLearning to Use Statistical Tests in Psychology third edition has been updated throughout. It continues to be a key text in helping students to understand and conduct statistical tests in psychology without panic! It takes students from the most basic elements of statistics teaching them: How psychologists plan experiments and statistical tests Which considerations must be made when planning experiments How to analyze and comprehend test results Like the previous editions, this book provides students with a step-by-step guide to the simplest non-parametric tests through to more complex analysis of variance designs. There are clear summaries in progress boxes and questions for the student to answer in order to be sure that they have understood what they have read.The new edition is divided into four discrete sections and within this structure each test covered is illustrated through a chapter of its own. The sections cover: The principles of psychological research and psychological statistics Statistical tests for experiments with two or three conditions Statistical tests based on ANOVA (Analysis of Variance) conditions as well as tests for multiple comparisons between individual conditions Statistical tests to analyze relationships between variables Presented in a student-friendly textbook format, Learning to Use Psychological Tests in Psychology enables readers to select and use the most appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. An errata sheet detailing the Decision Chart which is referred to can be downloaded by clicking here. (source: Nielsen Book Data)