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Experimental Design and Statistics for Psychology A First Course 1st Edition by Fabio Sani, John Todman ISBN 1405100249 9781405100243

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Author(s): Sani, Fabio, Todman, John
ISBN(s): 9781405100243, 1405100249
Edition: 1
File Details: PDF, 4.22 MB
Year: 2006
Language: english
SKU: EB-55472518 Category: Tags: , , ,

Experimental Design and Statistics for Psychology A First Course 1st Edition by Fabio Sani, John Todman – Ebook PDF Instant Download/Delivery: 1405100249, 9781405100243
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ISBN 10: 1405100249 
ISBN 13: 9781405100243
Author: Fabio Sani, John Todman

Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results.

  • Makes abundant use of charts, diagrams and figures.
  • Assumes no prior knowledge of statistics.
  • Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students.
  • Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design.
  • Provides detailed instructions on how to perform statistical tests with SPSS.

Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.

Experimental Design and Statistics for Psychology A First Course 1st Table of contents:

1. Introduction to Experimental Design

  • What Is Experimental Psychology?

  • Variables and Hypotheses

  • Experimental Control and Confounding Variables

  • Ethical Issues in Psychological Research

2. Descriptive Statistics

  • Organizing Data

  • Measures of Central Tendency (Mean, Median, Mode)

  • Measures of Variability (Range, Variance, Standard Deviation)

  • Graphical Representation of Data

3. Probability and Sampling Distributions

  • Basic Concepts of Probability

  • The Normal Distribution

  • Sampling Distributions and the Central Limit Theorem

4. Hypothesis Testing

  • Null and Alternative Hypotheses

  • Type I and Type II Errors

  • Significance Levels and p-values

  • One-tailed vs Two-tailed Tests

5. Comparing Two Means

  • The Independent Samples t-Test

  • The Paired Samples t-Test

  • Assumptions of the t-Test

6. Analysis of Variance (ANOVA)

  • One-Way ANOVA

  • Between-Subjects vs Within-Subjects Designs

  • Post-Hoc Tests

  • Assumptions of ANOVA

7. Factorial Designs

  • Two-Way ANOVA

  • Interactions Between Factors

  • Main Effects

8. Correlation and Regression

  • Pearson’s Correlation Coefficient

  • Spearman’s Rank Correlation

  • Simple Linear Regression

  • Multiple Regression

9. Nonparametric Tests

  • When to Use Nonparametric Tests

  • Chi-Square Test

  • Mann-Whitney U Test

  • Wilcoxon Signed-Rank Test

10. Reliability and Validity

  • Types of Reliability

  • Types of Validity

  • Ensuring Valid and Reliable Measures

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Tags: Fabio Sani, John Todman, Experimental Design, Psychology