An Interactive Tutorial for SPSS 10.0 for Windows© Analysis of Covariance (GLM Approach) by Julia Hartman Next © Copyright 2000, Julia Hartman 1 ANCOVA (GLM): Introduction Analysis of Covariance (ANCOVA) is used: • To assess the joint significance of predictors on a continuous outcome (GLM approach) • To generate prediction equations for various levels of a categorical predictor (regression approach) Next © Copyright 2000, Julia Hartman 2 ANCOVA (GLM): Introduction This tutorial uses the General Linear Model (GLM) approach to ANCOVA to determine whether MCAT scores are significantly different among medical students who had different types of undergraduate majors, when adjusted for year of matriculation. Next © Copyright 2000, Julia Hartman 3 ANCOVA (GLM): Introduction • Dependent variable nmtot1: MCAT total (most recent) • Fixed factor bmaj2: Undergraduate major 1 = Biology/Chemistry 2 = Other science/health 3 = Other • Covariate matyr: Year of matriculation Next © Copyright 2000, Julia Hartman 4 ANCOVA (GLM): Starting the Procedure • In the menu, click Analyze © Copyright 2000, Julia Hartman 5 ANCOVA (GLM): Starting the Procedure • In the menu, click on Analyze • Point to General Linear Model © Copyright 2000, Julia Hartman 6 ANCOVA (GLM): Starting the Procedure • In the menu, click on Analyze • Point to General Linear Model • Point to Univariate… © Copyright 2000, Julia Hartman 7 ANCOVA (GLM): Starting the Procedure • In the menu, click on Analyze • Point to General Linear Model • Point to Univariate… … and click. © Copyright 2000, Julia Hartman 8 ANCOVA (GLM): Selecting Variables Choose the variables for analysis from the list in the variable box. For this tutorial, begin by scrolling down the variable list. © Copyright 2000, Julia Hartman 9 ANCOVA (GLM): Selecting Variables Point to the variable labeled Undergraduate Major [bmaj2] © Copyright 2000, Julia Hartman 10 ANCOVA (GLM): Selecting Variables Point to the variable labeled Undergraduate Major [bmaj2] …and click. © Copyright 2000, Julia Hartman 11 ANCOVA (GLM): Selecting Variables Move bmaj2, a categorical variable, to the box labeled Fixed Factor(s) by clicking the arrow. © Copyright 2000, Julia Hartman 12 ANCOVA (GLM): Selecting Variables Scroll back up the list, © Copyright 2000, Julia Hartman 13 ANCOVA (GLM): Selecting Variables Scroll back up the list, point to the variable nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT © Copyright 2000, Julia Hartman 14 ANCOVA (GLM): Selecting Variables Scroll back up the list, point to the variable nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT …and click. © Copyright 2000, Julia Hartman 15 ANCOVA (GLM): Selecting Variables Move nmtot1, a continuous variable, to the box labeled Dependent Variable by clicking the arrow. © Copyright 2000, Julia Hartman 16 ANCOVA (GLM): Selecting Variables Scroll to the top of the list © Copyright 2000, Julia Hartman 17 ANCOVA (GLM): Selecting Variables Scroll to the top of the list, and click the variable matyr, which is labeled MATRICULATION DATE. © Copyright 2000, Julia Hartman 18 ANCOVA (GLM): Selecting Variables Move matyr, another continuous variable, to the box labeled Covariate(s) by clicking the arrow. © Copyright 2000, Julia Hartman 19 ANCOVA (GLM): Profile Plots Request profile plots of estimated marginal means by clicking the button labeled Plots… © Copyright 2000, Julia Hartman 20 ANCOVA (GLM): Profile Plots This tutorial requests a profile plot of matyr*bmaj2. Click matyr in the Factors box. © Copyright 2000, Julia Hartman 21 ANCOVA (GLM): Profile Plots Move matyr to the Horizontal Axis box by clicking the arrow. © Copyright 2000, Julia Hartman 22 ANCOVA (GLM): Profile Plots Now click bmaj2 in the Factors box … © Copyright 2000, Julia Hartman 23 ANCOVA (GLM): Profile Plots and move it to the Separate Lines box by clicking the arrow. © Copyright 2000, Julia Hartman 24 ANCOVA (GLM): Profile Plots Click the Add button to request the plot. © Copyright 2000, Julia Hartman 25 ANCOVA (GLM): Profile Plots Click the Continue button. © Copyright 2000, Julia Hartman 26 ANCOVA (GLM): Post Hoc Multiple Comparisons To request post hoc tests for pairwise multiple comparisons, click the Post Hoc… button. © Copyright 2000, Julia Hartman 27 ANCOVA (GLM): Post Hoc Multiple Comparisons Comparisons are available for the categorical variable bmaj2 only. Click bmaj2 in the Factor(s) box. © Copyright 2000, Julia Hartman 28 ANCOVA (GLM): Post Hoc Multiple Comparisons Move bmaj2 to the Post Hoc Tests for: box by clicking the arrow. © Copyright 2000, Julia Hartman 29 ANCOVA (GLM): Post Hoc Multiple Comparisons Request multiple comparison test(s) by clicking in the corresponding checkbox. For this tutorial, click Bonferroni. © Copyright 2000, Julia Hartman 30 ANCOVA (GLM): Post Hoc Multiple Comparisons In SPSS, you can request as many multiple comparison tests as you want. To continue the tutorial, click the Continue button. © Copyright 2000, Julia Hartman 31 ANCOVA (GLM): Optional Descriptive Statistics To display estimated marginal means, parameter estimates, and descriptive and diagnostic statistics, or to change the alpha level, click the Options… button. © Copyright 2000, Julia Hartman 32 ANCOVA (GLM): Options: Estimated Marginal Means You can request an overall (grand) marginal mean, as well as marginal means for the factors and the interaction(s). For this tutorial, click bmaj2. © Copyright 2000, Julia Hartman 33 ANCOVA (GLM): Options: Estimated Marginal Means Click the arrow to move bmaj2 to the Display Means for: box. © Copyright 2000, Julia Hartman 34 ANCOVA (GLM): Selecting Options Request other options by clicking the appropriate checkbox. In the Display area, click the checkbox for Descriptive statistics… © Copyright 2000, Julia Hartman 35 ANCOVA (GLM): Selecting Options …and the one for Homogeneity tests. © Copyright 2000, Julia Hartman 36 ANCOVA (GLM): Selecting Options This tutorial uses no more options, so click the Continue button. © Copyright 2000, Julia Hartman 37 ANCOVA (GLM): Run the analysis Click the OK button to run the ANCOVA (GLM). © Copyright 2000, Julia Hartman 38 ANCOVA (GLM) Output: General Information The labels and format of your output may be somewhat different. Next © Copyright 2000, Julia Hartman 39 ANCOVA (GLM) Output: : Descriptive Statistics Previous © Copyright 2000, Julia Hartman Next 40 ANCOVA (GLM) Output: : Descriptive Statistics (continued) Previous © Copyright 2000, Julia Hartman Next 41 ANCOVA (GLM) Output: Test of Equality of Error Variances Previous © Copyright 2000, Julia Hartman Next 42 ANCOVA (GLM) Output: Tests of Between-Subjects Effects Previous © Copyright 2000, Julia Hartman Next 43 ANCOVA (GLM) Output: Expected Mean Squares Previous © Copyright 2000, Julia Hartman Next 44 ANCOVA (GLM): Estimated Marginal Means: Undergraduate Major Previous © Copyright 2000, Julia Hartman Next 45 ANCOVA (GLM): Post Hoc Tests: Undergraduate Major Previous © Copyright 2000, Julia Hartman Next 46 ANCOVA (GLM): Profile Plot: Gender*Resloc Previous © Copyright 2000, Julia Hartman Next 47 An Interactive Tutorial for SPSS 10.0 for Windows©: ANCOVA (GLM) Click one of the following: • Repeat this tutorial • Return to the list of tutorials © Copyright 2000, Julia Hartman 48