851B First Day Assessment

Analysis that lets you compare means for two groups to find out whether difference is significant

• ANOVA

• Crosstab

• Paired samples t-test

• Independent samples t-test

Analysis that helps you determine if there is a relationship between two variables

• Correlation

• Crosstab

• Independent samples t-test

• Paired samples t-test

Analysis that lets you compare frequencies across groups/categories

• Correlation

• Independent Samples T-Test

• Crosstab

• Regression

Analysis that compares means for 3+ groups to see if difference is significant

• Independent samples t-test

• Crosstab

• Correlation

• ANOVA

Analysis that determines strength and direction of relationship between independent variable and dependent variable, w/controls

• Correlation

• ANOVA

• Regression

• Crosstab

Analysis that lets you see how the sample is distributed on a measure, using percentages

• Correlation

• Crosstab

• Paired-samples T-test

• Frequency

Analysis that compares means on two measures (e.g. pre and post tests) for a sample to see if difference is significant

• Independent samples t-test

• Paired samples t-test

• ANOVA

• Correlation

The standard deviation tells us:

• How spread out values are on a measure

• The central tendency of values

• The deviation from the median

• The standardized chi-square

A chi-square test shows you:

• If two nominal measures are related to each other

• If two interval measures are related to each other

• If three measures are significantly different

• If one variable predicts another

A correlation shows:

• Relationship between 2 variables

• Relationship between 3+ variables