Use the following information to ensure successful completion of the assignment: Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item
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Use the following information to ensure successful completion of the assignment:
- Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item self-esteem scale (they chose one rating for each item from a Likert-type scale, 1 = strongly disagree and 5 = strongly agree). The sum of the 10 ratings was each respondent’s self-esteem score. Their results were: t = 2.01, d = .90 (40 girls, 40 boys).
- This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
- Use APA style for the writing assignments. The APA Style Guide is located in the Student Success Center.
- This assignment requires that at least four additional scholarly research sources related to this topic, and at least one in-text citation from each source be included.
Directions:
In an essay (500 words), use the scenario presented above to thoroughly answer the following questions:
- What statistical test did the researchers use to determine if there was a statistically significant difference in levels of self-esteem between the boys and the girls?
- What was the purpose of calculating a Cohen’s d? When is a Cohen’s d calculated? Interpret d=.90. What does it mean in this example?
- What if the researcher compared the adolescent boys before treatment and again after treating them for depression? What type of t-test would be most appropriate in this case, and why?
Use the following information to ensure successful completion of the assignment: Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item
College of Doctoral Studies RES-845 SPSS Data Set Legend Information has been gathered on 35 brands of wheat beer. Qualitative (categorical) information has been given codes. Information that is in numerical form (e.g., $ amount) does not need to be coded. Here are all the types of information gathered on these beers: Product name (abbreviation of product’s brand name) Product ID code Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one Rating assigned to the product by a taste expert for each brand Codes: 1 = Very good 2 = Good 3 = Fair Recommended by leading beer connoisseur magazine? Codes: 0 = no 1 = yes Country of origin for each brand: Codes: 1 = USA 2 = Canada 3 = France 4 = Holland 5 = Mexico 6 = Germany 7 = Japan Availability in the USA for each brand Codes: 1 = National 2 = Regional Price per 6-pack for each brand (values are in US Dollars) Cost per 12 fluid ounces for each brand (values are in US Dollars) Calories per 12 fluid ounces Sodium per 12 fluid ounces for each brand (values are in milligrams, mg) Alcohol by volume for each brand (values are percents, %) Price class for each brand Codes: 0 = Not classified 1 = Super premium 2 = Premium 3 = Popular Regular or reduced calorie for each brand Codes: 0 = Regular 1 = Reduced calorie Number of US states in which brand was sold in 2008. Number of US states in which brand was sold in 2012.
Use the following information to ensure successful completion of the assignment: Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item
DATASET ACTIVATE DataSet1. SAVE OUTFILE=’C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to ‘+ ‘introduce SPSSdrinks database -revised for course applications DH.sav’ /COMPRESSED. T-TEST PAIRS=States2008 WITH States2012 (PAIRED) /CRITERIA=CI(.9500) /MISSING=ANALYSIS. T-Test Notes Output Created 07-JUN-2013 12:05:33 Comments Input Data C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav Active Dataset DataSet1 File Label SPSS/PC+ Filter Weight Split File N of Rows in Working Data File 35 Missing Value Handling Definition of Missing User defined missing values are treated as missing. Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis. Syntax T-TEST PAIRS=States2008 WITH States2012 (PAIRED) /CRITERIA=CI(.9500) /MISSING=ANALYSIS. Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.01 [DataSet1] C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Total number of US states selling beer in 2008 16.2286 35 14.63494 2.47376 Total number of US states selling beer in 2012 21.2000 35 15.48965 2.61823 Paired Samples Correlations N Correlation Sig. Pair 1 Total number of US states selling beer in 2008 & Total number of US states selling beer in 2012 35 .880 .000 Paired Samples Test Paired Differences Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Lower Pair 1 Total number of US states selling beer in 2008 – Total number of US states selling beer in 2012 -4.97143 7.43792 1.25724 -7.52644 Paired Samples Test Paired Differences t df Sig. (2-tailed) 95% Confidence Interval of the Difference Upper Pair 1 Total number of US states selling beer in 2008 – Total number of US states selling beer in 2012 -2.41641 -3.954 34 .000
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