CMST 332 Chapter Notes - Chapter 11: Structural Equation Modeling, Statistical Hypothesis Testing, Null Hypothesis
4 Nov 2016
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Correlation: describes relationship between 2 continuous variables. Determ. if scores on both variables increase/decrease. Determ. if one score increases while the oth. decreases. Structural equation modeling: tests of relationship look for linear relationships. One-unit change in one variable is ass. w/constant change in oth. variable: relationships can be curvilinear. Basic assumptions: tests for relationships used to draw conc. about pop. by examining the sample. Alternative & null hypothesis: tests of relationships test likelihood that alt. hyp. is true/null hyp. is not. Degrees of freedom: correlations/regressions req. degrees of freedom to be calc. Specify how many values vary w/in statistical test. Correlation: correlation: statistical test that examines linear relationship between 2 continuous level variables. Rep. by r: correlation coefficient indicates degree to which 2 variables are related. Data on 1 variable must be paired w/data on anoth. variable: degrees of freedom based on # of variables in a test.
