Instructions: Follow along with the step-by-step instruction manual provided for the Week 7 assignment. The instruction manual will make specific reference to data interpretation questions that...

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Instructions: Follow along with the step-by-step instruction manual provided for the Week 7 assignment. The instruction manual will make specific reference to data interpretation questions that require written responses. Use this worksheet to answer these written response questions. Each question is listed below along with the number of points each question is worth toward the assignment. Type your response in the space provided below each question.



















QUESTION 1




4 points






Based on the ANOVA output, was there a significant main effect of the weight status group on self-esteem scores? Indicate whether the
F-ratio for the main effect of weight status was statistically significant or not, and report the
F-ratio results in statistical notation.























QUESTION 2




4 points






Interpret the pattern of mean differences in self-esteem scores between the weight status groups. Did the results of the ANOVA support the research hypothesis for the main effect of the weight status group? (
Research Hypothesis:


M
normal weight
>
M
overweight
>
M
obese)























QUESTION 3




4 points






Based on the ANOVA output, was there a significant main effect of sex on self-esteem scores? Indicate whether the
F-ratio for the main effect of weight status was statistically significant or not, and report the
F-ratio results in statistical notation.



























QUESTION 4




4 points






Based on the ANOVA output, was there a significant weight status by sex interaction on self-esteem scores? Indicate whether the
F-ratio for the interaction effect was statistically significant or not, and report the
F-ratio results in statistical notation.





































QUESTION 5




8 points






Interpret the pattern of results for interaction using the line plot, analyses of simple effects, and bar graph figure generated in the SPSS output. In your response, paste the bar chart figure showing the mean differences in self-esteem between sexes across weight status groups, and include an APA style title for the figure. Also in your response, explain if the results of the interaction support the research hypothesis for the interaction?



(Research Hypothesis:
Females:
M
healthyweight
>
M
overweight

>
M
obese; Males:
M
healthyweight
=
M
overweight
>
M
obese)

















PASTE SPSS BAR CHART FIGURE BELOW:






























QUESTION 6




6 points






Write a brief one-paragraph report in APA summarizing the results of the chi-square test of independence examining if there were sex differences in online dating use. Report the test in correct statistical notation and interpret the findings (i.e., do the findings indicate that males or females were more likely to have used online dating?).




INCLUDE RESPONSE IN APA FORMAT BELOW:



Results

Answered Same DayOct 17, 2021

Answer To: Instructions: Follow along with the step-by-step instruction manual provided for the Week 7...

S answered on Oct 18 2021
124 Votes
outputViewer0000000000.xml
Output





PSY3901 Week 7 SPSS Assignment










Page &[Page]
p>


Log

Your temporary usage period for IBM SPSS Statistics will expire in 5188 days.
GET
  FILE='C:\Users\hp\AppData\Local\Temp\Rar$DIa0.494\PSY3901 Week 7 Assignment Dataset.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
DATASET ACTIVATE DataSet1.
UNIANOVA SelfEsteemScore BY Sex WeightStatus
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PLOT=PROFILE(WeightStatus*Sex) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO
  /EMMEANS=TABLES(OVERALL)
  /EMMEANS=TABLES(WeightStatus) COMPARE ADJ(BONFERRONI)
  /EMMEANS=TABLES(Sex) COMPARE ADJ(BONFERRONI)
  /EMMEANS=TABLES(Sex*WeightStatus) COMPARE (WeightStatus) ADJ (BONFERRONI)
  /EMMEANS=TABLES(Sex*WeightStatus) COMPARE (Sex) ADJ (BONFERRONI)
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Sex WeightStatus Sex*WeightStatus.
00000000011_lightNotesData.bin
00000000013_lightTableData.bin
00000000014_lightTableData.bin
00000000015_lightTableData.bin
00000000016_lightTableData.bin
000000000171_lightTableData.bin
0000000001721_lightTableData.bin
0000000001722_lightTableData.bin
0000000001723_lightTableData.bin
0000000001731_lightTableData.bin
0000000001732_lightTableData.bin
0000000001733_lightTableData.bin
0000000001741_lightTableData.bin
0000000001742_lightTableData.bin
0000000001743_lightTableData.bin
0000000001751_lightTableData.bin
0000000001752_lightTableData.bin
0000000001753_lightTableData.bin
000000000181__chartData.bin
000000000181__chart.xml

    
    
    
    
    
    
    
    
        
            
            
            
        
    
    
        
        
    
    
        
            
            
        
    
    
        
    
    
    
        
        
        
        
        
            
                
                     Participant Weight Status
                    
                
            
            
                
                     Estimated Marginal Means
                    
                        
                    
                
            
        
        
        
            
            
            
        
        
            
            
            
        
    
    
        
        
         Estimated Marginal Means of Overall Score on Self-Esteem Scale (Sum of 10 Items)
    
    
    
        
        
        
        
        
            
            
            
            
            
             Participant Sex
            
        
    
    
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
    
    
    
        
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
        
    
    
        
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
        
        
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
        
        
            
            
            ...

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