Move your independent (categorical) variables to the Fixed Factors box. Move your dependent (continuous) variable to the Dependent variable box. A two-way ANOVA can be conducted using the following steps: Click on Analyze in the menu at the top of the screen, then on General Linear Model and then on Univariate.
The one-way ANOVA compares the means of three or more independent groups. You will be completing two 2-way ANOVA’s in SPSS, using data that are related to specific research scenarios in the behavioral. So we have a situation where two ways of analyzing the data could in.SPSS: T WO-W AY ANOVA A SSIGNMENT I NSTRUCTIONS O VERVIEW This assignment is designed to increase your statistical literacy and proficiency in conducting and interpreting the two-way independent-measures ANOVA. Interpret the ANOVA and post hoc comparison output.the end of next semester, syntax in both SPSS and R becomes as easy as it was in. When to use a two-way ANOVA. A two-way ANOVA (analysis of variance) is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups that have been split on two variables (sometimes called factors).
The test statistic in the ANOVA is an F ratio, which is a ratio of two variances. Because the variance is based on deviations from the mean, the "analysis of variance" can be used to test hypotheses about means. The null hypothesis in the ANOVA is that the several populations being sampled all have the same mean. It is useful at least conceptually to think of the one-way ANOVA as an extension of the independent-samples t test.
In the first method, the student was instructed to repeat the word silently when it was presented. Example ProblemIn this lab, we will use SPSS to: Conduct and graph a Between-Subjects Two-Factor Analysis of Variance (ANOVA) Calculate simple effects Conduct and graph a.In a class of 30 students, ten students each were randomly assigned to three different methods of memorizing word lists. It is also helpful to determine and report effect size when performing ANOVA.
The list was repeated in random order until each word had been presented a total of five times. Each student saw the same 10 words flashed on a computer screen for five seconds each. The third method required the student to associate each word with a strong memory.
The post hoc test results indicate that the mean for Method 1 is significantly lower than the means for Methods 2 and 3, but that the means for Methods 2 and 3 are not significantly different.Figure 6-4 ANOVA summary table and post hoc test resultsAs an aid to understanding the post hoc test results, SPSS also provides a table of homogenous subsets (see Figure 6-5). Note that the overal (omnibus) F ratio is significant, indicating that the means differ by a larger amount than would be expected by chance alone if the null hypothesis were true. Note also the many other post hoc comparison tests available.Figure 6-3 One-Way ANOVA dialog with Tukey HSD test selectedThe ANOVA summary table and the post hoc test results appear in the SPSS Viewer (see Figure 6-4).
Under Options, select Anova Table and eta.Figure 6-6 ANOVA procedure and effect size index available from Means procedureThe ANOVA summary table from the Means procedure appears in Figure 6-7 below. Move Recall to the Dependent List and Method to the Independent List. To perform this alternative analysis, select Analyze, Compare Means, Means (see Figure 6-6). An alternative method of performing the one-way ANOVA provides the effect-size index, but not the post hoc comparisons discussed earlier. As such, this index represents the proportion of variance that can be attributed to between-group differences or treatment effects. A common effect size index is eta squared, which is the between-groups sum of squares divided by the total sum of squares.
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