- Summary
- Contents
- Subject index
This core textbook introduces psychology students to research methods. The author’s principal goal is to present methods in a way that will lend coherence to the material. He does this by providing a meaningful framework based around Campbell and Stanley’s "threats to validity" and by organizing the book around the phases of the research process. In addition, in his approach and via boxed features, the author encourages and models a process of critical thinking for students.
Chapter 10: Analyzing the Data
Analyzing the Data
Analyzing the data
- A Quick Guide to Chapter 10: Analyzing the Data
- Introduction to the Chapter
- Summarizing the Results: Descriptive
- Statistics
- Univariate Distributions: One Variable at a Time
- Tabulating the Data
- Graphing the Data
- Statistics
- Central Tendency
- Variability
- The Normal Distribution
- Standardized Scores
- Bivariate Distributions: Two Scores
- Per Unit
- Univariate Distributions: One Variable at a Time
- Inferential Statistics
- Statistical Inference: The Basic Problem
- Solving the Problem: The Sampling Distribution
- Testing the Null Hypothesis
- Comparing Groups With the t Test
- A Bit About ANOVA
- NHST and Correlation
- Statistical Conclusion Validity
- Introduction
- Threats to Statistical Conclusion Validity
- Inappropriate Use of Statistical Techniques Use of a Statistical Test Lacking Sufficient Power
- NHST
- Errors in NHST
- The Importance of Power
- Mistaking a Trivial Effect for Support for the Research Hypothesis
- The Problem With NHST
- An Alternative to NHST
- Meta-Analysis
- Inappropriate Use of Statistical Techniques Use of a Statistical Test Lacking Sufficient Power
- Summing Up Data Analysis
- Review Questions and Exercise
A Quick Guide to Chapter 10: Analyzing the Data
Once the data are in, the researcher must be able ...
168811
- Loading...
