Buch, Englisch, 464 Seiten, Format (B × H): 192 mm x 257 mm, Gewicht: 1084 g
An Introduction for Psychologists
Buch, Englisch, 464 Seiten, Format (B × H): 192 mm x 257 mm, Gewicht: 1084 g
ISBN: 978-0-7619-6030-0
Verlag: Sage Publications
This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow.
The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance learning, and makes both the traditional and non-traditional approaches much more accessible.
Key points of the book are: an emphasis on measurement, data summaries and graphs; a clear explanation of statistical inference using sampling distributions and confidence intervals, making significance tests much easier to understand; and help for students to understand and judge the use of particular tests in the research context beyond simple recipe following.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Theorie, Psychoanalyse
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Experimentelle Psychologie
Weitere Infos & Material
Uncertainty and Psychological Research Variables and Measurement Exploring, Describing, Displaying and Summarizing Research Design and Probability Sampling Distributions and Confidence Intervals Statistical Models and Significance Tests Predicting a Quantitative Variable from a Categorical Variable The t Test and Analysis of Variance Quantitative Predictors Regression and Correlation Predicting Categorical Variables Contingency Tables and Chi-Square More Than Two Variables A Peek at Multivariate Analysis Putting Statistics into Perspective