# The Process of Statistical Analysis in Psychology

- Dawn M. McBride - Illinois State University, USA

September 2017 | 448 pages | SAGE Publications, Inc

The Process of Statistical Analysis in Psychology is the latest book by Dawn McBride, the best-selling author of The Process of Research in Psychology. This new text provides students with the background and the process of statistical analysis along with the nuts and bolts tools for applying specific statistical tools to data from research studies. While the two texts correspond closely in their use of research examples, they can also be used completely independently of one another. McBride will help students to understand that statistics can be applied and used in day to day life, and she will make a direct connection between the process of research design and the tools employed in statistical analysis.

Part I: Why Do We Use Statistics?

Chapter 1: Why Statistics?

A. What can statistics do for me? |

B. Research design and statistics |

Chapter 2: The Starting Place: Data and Distributions

A. Populations and samples |

B. Types of data collected in research in psychology |

C. Frequency distributions |

D. Frequency distributions in Excel |

E. Introduction to SPSS |

Chapter 3: Probability and sampling

A. Concepts of probability |

B. Sampling techniques |

C. Distribution of sample means introduction |

Part II: Descriptive Statistics

Chapter 4: Central Tendency

A. Central tendency in distributions |

B. Mean |

C. Median |

D. Mode |

E. Which measure of central tendency should I use? |

Chapter 5: Variability

A. Variability in distributions |

B. Range and Interquartile Range |

C. Standard deviation |

D. Which measure of variability should I use? |

Chapter 6: Presenting Descriptive Statistics

A. Descriptive statistics in graphs |

B. Descriptive statistics in tables |

C. APA style for graphs and tables |

Part III: Basics of Hypothesis Testing

Chapter 7: The Normal Distribution and z-Scores

A. The z-score transformation |

B. The normal distribution |

Chapter 8: Hypothesis Testing Logic

A. Using the normal distribution to test hypotheses |

B. Logic of hypothesis testing |

C. Types of hypothesis testing errors |

D. Statistical significance |

Part IV: The Nuts and Bolts of Statistical Tests

Chapter 9: The t-distribution

A. The t-distribution – when we don’t know the value of the population standard deviation |

B. One-sample t-test |

C. Using SPSS to conduct a one-sample t-test |

D. Test Assumptions |

Chapter 10: Related/paired samples t-test

A. Samples with related/paired data |

B. Calculating a related/paired samples t-test |

C. Using SPSS to conduct related/paired samples t-test |

D. Test Assumptions |

Chapter 11: Independent samples t-test

A. Independent samples |

B. Calculating independent samples t scores |

C. Using SPSS to Conduct an independent samples t-test |

D. Test Assumptions |

Chapter 12: One-way ANOVA

A. More than two independent samples |

B. Calculating the F score in an ANOVA |

C. Using SPSS to calculate One-way between-subjects ANOVA |

D. Test Assumptions |

Chapter 13: Two-way ANOVA

A. Factorial designs |

B. Calculating two-way F scores |

C. Using SPSS to calculate Two-way between-subjects ANOVA |

D. Test Assumptions |

E. Understanding interactions |

Chapter 14: One-way within-subjects ANOVA

A. Within-subjects designs |

B. Calculating one-way within-subjects F scores |

C. Using SPSS to calculate one-way repeated-measures ANOVA |

D. Test Assumptions |

E. More Complex Within-Subjects Designs |

Chapter 15: Correlation Tests and Simple linear regression

A. Correlation versus Causation |

B. Hypothesis Testing with Pearson r |

C. Using SPSS to conduct a Pearson r test |

D. Regression Analyses |

E. Non-Linear Relationships |

Chapter 16: Chi-square tests

A. Parametric versus non-parametric tests |

B. Observed versus expected frequencies |

C. Calculating Chi-Square by hand |

D. Calculating Chi-Square using SPSS |

HEOA Compliance

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**Available formats**

ISBN: 9781506325231 | Electronic Version | Suggested Retail Price: $68.00 | Bookstore Price: $54.40 |

ISBN: 9781506325224 | Paperback | Suggested Retail Price: $85.00 | Bookstore Price: $68.00 |

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