In a pilot study, participants responded to a survey on sexual attitudes (the BSAS). BSAS scores were median-split and participants were assigned to a low BSAS (Sexually Conservative coded a 1) or a high BSAS (Sexually Progressive, coded a 2) group. Participants then read a scenario which described a woman with either sexually conservative or progressive attitudes who is sexually assaulted on a date with a man. Finally, participants responded to a scale with measured the participant's personal similarity to the target. The item responses to this scale were combined into a composite score. What is the results?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
In a pilot study, participants responded to a survey on sexual attitudes (the BSAS). BSAS scores were
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Univariate Analysis of Variance
Univariate Analysis of Variance - Tests of Between-Subjects Effects - October 5, 2019
Tests of Between-Subjects Effects
per_sim_compos
Type III
Sum of
Squares
Partial
Eta
Squared
Mean
Observed
Noncent.
Parameter
Powerb
Source
df
Square
F
Sig.
Corrected
19.757a
3
6.586
3.186
.029
.123
9.558
.713
Model
Intercept
636.851
1
636.851
308.107
.000
.819
308.107
1.000
Target_att
8.772
1
8.772
4.244
.043
.059
4.244
.528
bsas_medsp
4.822
1
4.822
2.333
.131
.033
2.333
.325
Target_att *
bsas_medsp
11.735
1
11.735
5.677
.020
.077
5.677
.651
Error
140.555
68
2.067
Total
919.188
72
Corrected
Total
160.312
71
a. R Squared = .123 (Adjusted R Squared = .085)
b. Computed using alpha = .05"
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Univariate Analysis of Variance
Univariate Analysis of Variance - Descriptive Statistics - October 5, 2019
Descriptive Statistics
per_sim_compos
Std.
Target_att
bsas_medsp
Mean
Deviation
N
conservative
1.00
3.6146
1.68429
24
2.00
3.3125
1.36660
20
Total
3.4773
1.53810
44
progressive
1.00
2.0455
1.07132
11
2.00
3.4265
1.33101
17
Total
2.8839
1.39523
28
Total
1.00
3.1214
1.67417
35
2.00
3.3649
1.33281
37
Total
3.2465
1.50263
72"
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