t Tests SPSS Read This Article Wuensch K L amp Moore C H 2004 Effects of physical attractiveness on evaluations of a male employees allegation of sexual harassment by his female employer ID: 216064
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Slide1
Independent Samples t TestsSPSSSlide2
Read This ArticleWuensch, K. L., & Moore, C. H. (2004). Effects of physical attractiveness on evaluations of a male employee’s allegation of sexual harassment by his female employer. Journal of Social Psychology
,
144
, 207-217. Slide3
Download the Datahttp://core.ecu.edu/psyc/wuenschk/SPSS/Reverse-Pattr-Guilt.sav These data are from the research reported in the article.
Bring the data into
SPSS.Slide4Slide5
The VariablesThe grouping variable is P_Attr1 indicates the plaintiff was attractive
2 indicates that he was not attractive
The test variable is Guilt
1 = definitely not guilty
9 = definitely guiltySlide6
The Values Are Already LabeledSlide7
The AnalysisAnalyze, Compare Means, Independent Samples T TestSlide8
The Group StatisticsSlide9
The t TestSlide10
Download Files to Estimate Cohen’s dGo to http://core.ecu.edu/psyc/wuenschk/SPSS/SPSS-Programs.htm Download two files, .sav and .spsSlide11
Enter Values in .sav FileEnter “Equal Variances Assumed” statistics.Slide12
Run the Syntax FileJust click on RUN, ALL.Slide13
Look Back at the .sav FileSlide14
Write the Summary StatementWhen the plaintiff was physically attractive, the jurors were significantly more certain of that the defendant was guilty (
M
= 6.21,
s
= 1.81,
n
= 160) than when the plaintiff was not physically attractive (
M
= 5.52,
s
= 2.17,
n
= 164),
t
(314.4) = 3.08,
p
= .002,
d
= .34, 95% CI [.12, .56]. Slide15
Equal Variances Assumed or NotI followed Zimmerman’s advice and reported the “equal variances not assumed” t, because the sample sizes were not equal.But you must always use the “equal variances assumed” t
and
df
when using the program that estimates Cohen’s
d
.Slide16
SD or sFor many years, “SD” was the APA-approved symbol for standard deviation.
In the most recent Publication Manual they added “
s
” as appropriate to symbolize the sample standard deviation.
Only time will tell whether authors shift from “
SD
” to “
s
.”