Learning From Data
Lawrence Erlbaum Associates Inc (Verlag)
978-0-8058-1784-3 (ISBN)
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Learning from Data focuses on how to interpret psychological data and statistical results. The authors’ review the basics of statistical reasoning to help students better understand relevant data that affect their everyday lives. Numerous examples based on current research and events are featured throughout. To facilitate learning authors Glenberg and Andrzejewski:
Devote extra attention to explaining the more difficult concepts and the logic behind them.
Use repetition to enhance students’ memory with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems.
Employ a six-step procedure for describing all statistical tests from the simplest to the most complex.
Provide end of chapter tables to summarize the hypothesis testing procedures introduced.
Emphasize how to choose the best procedure, with a discussion of procedure choice in the examples, problems that require choosing the procedure, and endpapers that provide guidelines for choosing procedures.
Focus on power with a separate chapter and power analyses procedures in each chapter.
Discuss the rationale for why emphasizing random sampling from populations is emphasized in the classroom but not in actual experiments.
Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles.
The new edition features a more user-friendly approach:
Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book's CD contains files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat.
Two large, real data sets integrated throughout—one focusing on the effectiveness of Zyban and gum on smoking and the other on the effects of children on marriage
Contents: Preface. Why Statistics? Part I: Descriptive Statistics. Frequency Distributions and Percentiles. Central Tendency and Variability. z Scores and Normal Distributions. Part II: Introduction to Inferential Statistics. Overview of Inferential Statistics. Probability. Sampling Distributions. Logic of Hypothesis Testing. Power. Logic of Parameter Estimation. Part III: Applications of Inferential Statistics. Inferences About Population Proportions Using the z Statistic. Inferences About u When o Is Unknown: The Single Sample t Test. Comparing Two Populations: Independent Samples. Random Sampling, Random Assignment, and Causality. Comparing Two Populations: Dependent Samples. Comparing Two Population Variances: The F Statistic. Comparing Multiple Population Means: One-Factor ANOVA. Introduction to Factorial Designs. Computational Methods for the Factorial ANOVA. Describing Linear Relationships: Regression. Measuring the Strength of Linear Relationships: Correlation. Inferences From Nominal Data: The x2 Statistic.
| Erscheint lt. Verlag | 13.5.1996 |
|---|---|
| Verlagsort | Mahwah |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 1157 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 0-8058-1784-0 / 0805817840 |
| ISBN-13 | 978-0-8058-1784-3 / 9780805817843 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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