Research Methods in Applied Settings: An Integrated Approach to Design and Analysis

By Jeffrey A. Gliner; George A. Morgan | Go to book overview

CHAPTER
11
Introduction to Inferential Statistics and Problems With Null Hypothesis Significance Testing
Hypothesis Testing
A Difference Hypothesis Example
The Null Hypothesis (H0)and Alternative Hypotheses (H1)
Three Ways to State the Alternative Hypothesis
The Inferential Process
Type I and Type II Errors
Statistical Decision Making
Interpreting Inferential Statistics
Problems with Null Hypothesis Significance Testing
Adding Confidence Intervals Helps
Including Effect Size Is Necessary
Interpreting Effect Sizes
Summary
Study Aids
Concepts
Distinctions
Application Problems

The goal of this chapter is to introduce inferential statistics and then to discuss some problems with the traditional use of inferential statistics to test null hypotheses. Key concepts to be covered in this chapter are hypothesis testing, exploratory data analysis, type I and type II errors, confidence intervals, and effect sizes.

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