Chat with us, powered by LiveChat Run a Two-Way ANOVA using JASP Be sure to copy and paste the following prompts into your submission document.? Type or cut and paste your response directly beneath the prompt: 1) In a | Wridemy

Run a Two-Way ANOVA using JASP Be sure to copy and paste the following prompts into your submission document.? Type or cut and paste your response directly beneath the prompt: 1) In a

Run a Two-Way ANOVA using JASP

Be sure to copy and paste the following prompts into your submission document.  Type or cut and paste your response directly beneath the prompt:

1) In an APA formatted table, list the variables from the  dataset that you are using in your investigation . Indicate whether they are grouping (only use 2 categorical variables)  or response variables (only select to use 1 continuous variable). 

2) Run the 2 way ANOVA and report the output  tables

3) Interpret the p values.  

4) Is there an interaction affect detected? Explain.

5) Perform the following assumption checks and interpret results.

Independence : Assume this assumption to be met give this to be a random generated sample

Homogeneity of variances : run the homogeneity test

Normality: generate a QQ plot

5) Do you need to perform a post hoc test?  If yes, paste and interpret the results.  If no, explain why.

6) If your ANOVA results are significant, generate effect size estimate (report omega squared) and interpret as small, medium , or large effect size.

For the presentation, Using JASP or Excel create a slide presentation covering ONE of the following analyses over this dataset (APA formatting of tables and charts is expected). Use bullet points on slides. Assumption check results should be reported.

1) Conduct a one-way ANOVA test and report the results.

2) Conduct a simple regression test and report results

DO NOT DO BOTH. Only an ANOVA or a regression analysis

Presentation should be visually pleasing, neat, and organized. Include a title slide. Seven additional content slide minimum

Should include evidence and interpretations for:

  • Descriptive statistics tables for all variables (measure of center, spread, skewness, kurtosis)
  • Histogram for dependent variables, scatterplot for regression variables
  • All analysis output tables
  • Interpretation of key output table statistics (R, R squared for regression)
  • Interpretation of p-values
  • Results of a normality check
  • Results of homogeneity of variances check
  • Post hoc results (ANOVA)
  • Effect size (ANOVA)
  • One conclusion drawing as a result of your investigation
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1 0 10 63437 684 235
4 1 21 61163 770 332
4 0 23 61135 767 370
2 0 13 60192 740 289
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3 0 20 59232 793 342
3 0 19 58517 732 320
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5 0 28 50925 725 367
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5 0 26 49701 696 376
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1 1 11 47794 683 294
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4 0 21 47484 788 329
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1 1 7 47386 688 245
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2 0 17 47221 765 313
5 1 27 47197 803 374
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3 1 20 47174 688 334
4 1 23 47156 750 352
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2 0 15 46946 731 294
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2 0 16 46898 807 320
3 1 19 46897 743 303
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3 0 19 46865 806 317
1 1 5 46292 765 244
1 1 7 46280 725 238
4 0 25 46247 804 384
4 0 23 46002 787 360
5 0 26 45984 656 365
2 1 17 45835 713 295
4 1 24 45567 677 354
4 0 21 45564 729 329
3 0 21 45308 703 335
1 0 11 45247 827 289
1 1 9 45050 757 257
4 1 22 44850 790 372
5 1 28 44773 758 374
2 1 13 44642 771 285
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3 1 20 44429 771 340
1 1 8 43729 785 258
2 1 17 43285 662 298
3 1 21 43126 755 329
3 1 18 42808 829 323
3 0 21 42241 860 334
5 0 26 41606 709 366
1 1 8 41562 817 232
4 0 24 41429 703 365
2 0 14 39930 786 309
2 1 14 39650 740 294
2 1 14 38492 787 309
1 0 12 38197 769 267

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