Question Details

(solution) $FL2@(#) PASW STATISTICS DATA FILE MS Windows 18.0.0 ###########


In this assignment, you will use an existing dataset to analyze dataset from repeated-measures experimental design. All SPSS output should be pasted into your Word document. Also, you will create a dataset for a hypothetical repeated-measures experimental design. Then, you will answer questions about your hypothetical dataset.

The ?Activity 6.sav? file contains a dataset of a high school teacher interested in determining whether his students? test scores increase over the course of a 12 week period. In the dataset, you will find the following variables:

  • Participant: unique identifier
  • Gender: Male (M) or Female (F)
  • Score_0 ? score on the initial course pre-test (first day of class)
  • Score_2 ? score at the end of week 2
  • Score_4 ? score at the end of week 4
  • Score_6 ? score at the end of week 6
  • Score_8 ? score at the end of week 8
  • Score_10 ? score at the end of week 10
  • Score_12 ? score at the end of the course (week 12)

Complete the following:

  1. Exploratory Data Analysis.
    • Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.
    • Give a one to two paragraph write up of the data once you have done this.
    • Create an APA style table that presents descriptive statistics for the sample.
  2. Repeated Measures ANOVA. Perform a repeated measure ANOVA using the ?Activity 6.sav? data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.
    • Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?
    • Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
    • Is there a main effect time (i.e., an increase in scores from Week 0 to Week 12)? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case). Examine the output carefully, and give as much detail as possible in your findings.
    • Write up the results in APA style, and then interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.

$FL2@(#) PASW STATISTICS DATA FILE MS Windows 18.0.0

 

########### #### #########Y@12 Jun 1111:20:51

 

###########################PARTICIP########################GENDER

 

########################SCORE_0 ####Pre-test score

 

########################SCORE_2 ####Gender ###Week 2 score########################SCORE_4 ###Week 4 score########################SCORE_6 ###Week 6 score########################SCORE_8 ###Week 8 score########################SCORE_10###Week 10 score

 

########################SCORE_12###Week 12 score

 

########F

 

#Female M

 

#Male

 

##########################ð?

 

10 or less

 

#######@#11-19 #######@

 

20 or more

 

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ÿÿïÿÿÿÿÿÿÿïþÿÿÿÿÿïÿ############################################################

 

####################################################################

 

##########PARTICIP=Participant

 

GENDER=Gender

 

SCORE_0=Score_0

 

SCORE_2=Score_2

 

SCORE_4=Score_4

 

SCORE_6=Score_6

 

SCORE_8=Score_8

 

SCORE_10=Score_10 SCORE_12=Score_12######################## ###################Á###Participant:$@Role('0'

 

)/Gender:$@Role('0'

 

)/Score_0:$@Role('0'

 

)/Score_2:$@Role('0'

 

)/Score_4:$@Role('0'

 

)/Score_6:$@Role('0'

 

)/Score_8:$@Role('0'

 

)/Score_10:$@Role('0'

 

)/Score_12:$@Role('0'

 

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