Correlations Correlation: the degree with which one variable is associated with another variable; interpreted in terms of (a) direction (positive or negative), (b) strength (weak, moderate, strong), and (c) significance (significant or not significant – as indicated...
Reliability Reliability: consistency or dependability of the data Internal consistency: Measures reliability across items. Tests whether all items are measuring the same thing. Measured using Cronbach’s alpha Test-retest reliability: Measures reliability over time....
Statistical Tests t-test: This statistical test determines whether there is a statistically significant difference between the means of 2 groups and uses numerical DV. Chi-Square: This statistical test determines whether there is a statistically significant...
Types of Variables Independent Variable: The variable that is manipulated by the researcher, such as treatment, and/or the variable(s) that that is/are thought to affect the outcome. Dependent Variable: The variable that is measured as a study outcome; the variable...
Measures of Diagnostic Accuracy Sensitivity: the ability of a test to correctly classify an individual as having a disorder True Positive True Positive + False Negative Specificity: the ability of a test to correctly identify a person as not having a disorder True...
Variables Independent Variable (IV): Intervention/Treatment Dependent Variable (DV): The outcome of the intervention or what we want the intervention/treatment to change. Experimental Control: Confidence that change in the DV is due to change in the IV. Intervention...
Types of Data Numerical: Quantitative data that have a median, mean, and variability or spread (e.g., age in years, height in inches, # of words spoken) Categorical: Data that groups participants into distinct categories based on certain qualities (e.g.,...
Correlations Correlation: the degree with which one variable is associated with another variable; interpreted in terms of (a) direction (positive or negative), (b) strength (weak, moderate, strong), and (c) significance (significant or not significant – as indicated...
Reliability Reliability: consistency or dependability of the data Internal consistency: Measures reliability across items. Tests whether all items are measuring the same thing. Measured using Cronbach’s alpha Test-retest reliability: Measures reliability over time....
Statistical Tests t-test: This statistical test determines whether there is a statistically significant difference between the means of 2 groups and uses numerical DV. Chi-Square: This statistical test determines whether there is a statistically significant...
Types of Variables Independent Variable: The variable that is manipulated by the researcher, such as treatment, and/or the variable(s) that that is/are thought to affect the outcome. Dependent Variable: The variable that is measured as a study outcome; the variable...
Measures of Diagnostic Accuracy Sensitivity: the ability of a test to correctly classify an individual as having a disorder True Positive True Positive + False Negative Specificity: the ability of a test to correctly identify a person as not having a disorder True...
Variables Independent Variable (IV): Intervention/Treatment Dependent Variable (DV): The outcome of the intervention or what we want the intervention/treatment to change. Experimental Control: Confidence that change in the DV is due to change in the IV. Intervention...
Types of Data Numerical: Quantitative data that have a median, mean, and variability or spread (e.g., age in years, height in inches, # of words spoken) Categorical: Data that groups participants into distinct categories based on certain qualities (e.g.,...