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Statistics for the Social Sciences

A General Linear Model Approach
Buch | Hardcover
606 Seiten
2020 | 2nd Revised edition
Cambridge University Press (Verlag)
978-1-108-84157-3 (ISBN)
CHF 148,35 inkl. MwSt
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This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Russell T. Warne is an associate professor of psychology at Utah Valley University, USA, where he has taught since 2011. He has won awards from the Southwest Educational Research Association, National Association for Gifted Children, and Mensa. He is an associate editor for the Journal for the Education of the Gifted and serves on the editorial boards for Intelligence, the Journal of School Psychology, Gifted Child Quarterly, and the Journal of Psychoeducational Assessment. He is also the author of In the Know: Debunking 35 Myths About Human Intelligence (Cambridge University Press).

1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 210 x 260 mm
Gewicht 1620 g
Themenwelt Geisteswissenschaften Psychologie
Mathematik / Informatik Mathematik Statistik
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-108-84157-0 / 1108841570
ISBN-13 978-1-108-84157-3 / 9781108841573
Zustand Neuware
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