Path Analysis
The use of path analysis to examine causal structures among continuous variables was pioneered by Sewall Wright and popularized in the social sciences through the work of Peter M. Blau and Otis D. Duncan, among others. There are several advantages to path analysis that account for its continuing popularity: (a) It provides a graphical representation of a set of algebraic relationships among variables that concisely and visually summarizes those relationships; (b) it allows researchers to not only examine the direct impact of a predictor on a dependent variable, but also see other types of relationships, including indirect and spurious relationships; (c) it indicates, at a glance, which predictors appear to have stronger, weaker, or no relationships with the dependent variable; (d) it allows researchers to ...
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Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
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Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
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