Between-Subjects Factors Value Label Gender Female 365 1 Age in Years 1 Male 122 18-42 219 2 43-67 124 3 68-89 143 92 92 Tests of Between-Subjects Effects Dependent Variable: Stroop Test Type III Sum of Squares Source df Mean Square F Sig. Corrected Model 8424.288* 6 1404.048 31.273 <.001 Intercept 5094.582 1 5094.582 113.475 <.001 Genderl 304.358 1. 304.358 6.779 .010 Agel 7571.542 2523.847 56.215 <.001 Genderl * Agel 554.294 277.147 6.173 .002 2 Error 21550.175 480 44.896 Total 56137.066 487 Corrected Total 29974.463 486 a. R Squared = .281 (Adjusted R Squared .272) %3D

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### Between-Subjects Factors

This section outlines the categorization of subjects based on gender and age.

- **Gender**
  - Female: 365
  - Male: 122

- **Age in Years**
  - 18–42: 219
  - 43–67: 124
  - 68–89: 143
  - 92: 1

### Tests of Between-Subjects Effects

The table presents the results of an analysis examining the effects on the Stroop Test, with relevant statistical metrics provided for different factors.

- **Dependent Variable:** Stroop Test

| Source         | Type III Sum of Squares | df | Mean Square | F       | Sig.  |
|----------------|-------------------------|----|-------------|---------|-------|
| Corrected Model| 8424.288                | 6  | 1404.048    | 31.273  | <.001 |
| Intercept      | 5094.582                | 1  | 5094.582    | 113.475 | <.001 |
| Gender1        | 304.358                 | 1  | 304.358     | 6.779   | .010  |
| Age1           | 7571.542                | 3  | 2523.847    | 56.215  | <.001 |
| Gender1 * Age1 | 554.294                 | 2  | 277.147     | 6.173   | .002  |

### Additional Statistics

- **Error:** 21550.175
- **Total:** 56137.066
- **Corrected Total:** 29974.463

- **R Squared = .281** (Adjusted R Squared = .272)

This analysis explores how gender and age impact performance on the Stroop Test, indicated by significant p-values in the model effects.
Transcribed Image Text:### Between-Subjects Factors This section outlines the categorization of subjects based on gender and age. - **Gender** - Female: 365 - Male: 122 - **Age in Years** - 18–42: 219 - 43–67: 124 - 68–89: 143 - 92: 1 ### Tests of Between-Subjects Effects The table presents the results of an analysis examining the effects on the Stroop Test, with relevant statistical metrics provided for different factors. - **Dependent Variable:** Stroop Test | Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |----------------|-------------------------|----|-------------|---------|-------| | Corrected Model| 8424.288 | 6 | 1404.048 | 31.273 | <.001 | | Intercept | 5094.582 | 1 | 5094.582 | 113.475 | <.001 | | Gender1 | 304.358 | 1 | 304.358 | 6.779 | .010 | | Age1 | 7571.542 | 3 | 2523.847 | 56.215 | <.001 | | Gender1 * Age1 | 554.294 | 2 | 277.147 | 6.173 | .002 | ### Additional Statistics - **Error:** 21550.175 - **Total:** 56137.066 - **Corrected Total:** 29974.463 - **R Squared = .281** (Adjusted R Squared = .272) This analysis explores how gender and age impact performance on the Stroop Test, indicated by significant p-values in the model effects.
**Text Transcription:**

**What is H₀ for the main effect of gender?**

- O The mean Stroop task score for men is the same as the mean Stroop task score for women
- O The mean Stroop task score for men is not the same as the mean Stroop task score for women
- O The mean Stroop task scores for men and women are all not different from each other
- O The mean Stroop task score for men is not different from the mean Stroop task score for women
Transcribed Image Text:**Text Transcription:** **What is H₀ for the main effect of gender?** - O The mean Stroop task score for men is the same as the mean Stroop task score for women - O The mean Stroop task score for men is not the same as the mean Stroop task score for women - O The mean Stroop task scores for men and women are all not different from each other - O The mean Stroop task score for men is not different from the mean Stroop task score for women
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