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Research Questions

Research Questions. What test to use?. The first question is what do we do with the dependent variable? Is the variable counted ? Is the variable measured ? Home. Counted Dependent Variable. Why are we using this variable? For Prediction For Relative Incidence Home. For Prediction.

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Research Questions

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  1. Research Questions

  2. What test to use? The first question is what do we do with the dependent variable? • Is the variable counted? • Is the variable measured? Home

  3. Counted Dependent Variable Why are we using this variable? • For Prediction • For Relative Incidence Home

  4. For Prediction Conduct a Logistic Regression A variant of standard regression used when the dependent variable is a dichotomy, such as success/failure. Home

  5. For Relative Incidence Conduct a Chi-Square or some other categorical data analysis A statistical test to determine the probability that an observed deviation from the expected event or outcome occurs solely by chance. Home

  6. Measured Dependent Variable Why are we using this variable? • For Group Differences • For Prediction Home

  7. Group Differences How many independent Variables are being used? • One Independent Variable • More than one Independent Variable Home

  8. One Independent Variable How many levels does the independent variable have? • Two Levels • Three or More Levels Home

  9. Two Levels Conduct a T-Test The t test is a statistical test which computes the probability that two groups of a single parameter are members of the same population. The population must follow at distribution. However, at test is robust enough to allow considerable deviation from normality. Home

  10. Three or More Levels Conduct an ANOVA (Analysis of Variance) A test of the statistical significance of the differences among the mean scores of two or more groups on one or more variables Home

  11. More Than One Independent Variable Conduct a Factorial ANOVA (Analysis of Variance) A test of the statistical significance of the differences among the mean scores of two or more groups on one or more variables Home

  12. Prediction Use a Regression Analysis How Many Independent Variables are Used? • One Independent Variable • Two or More Independent Variables Home

  13. One Independent Variable Use a Simple Regression A special case of multiple regression involving a single independent variable. Assumes a linear relationship between the independent variable and the dependent variable. That relationship is estimated using the method of least squares and a set of observed values. Home

  14. Two or More Independent Variables Use a Multiple Regression Multiple regression refers to a regression model in which the fitted value of the response variable Y is a function of the values of one or more predictor (X) variables. The most common form of multiple regression is multiple linear regression, a linear regression model with more than one X variable. Home

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