1) In a brief paragraph, for each of the three parametric and one non-parametric analyses, write a brief synopsis of your results. Include the research hypothesis (not the null, as I want you to write it more like a research article in which you do not see a null stated, as the null is implied); tell me if the research hypothesis is supported by these data and the strength of the association. If the results are significant then you must go on to interpret the multiple comparison tests and tell the reader which groups differ and by how much. Lastly, identify the assumptions for ANOVA and if they were met in each analysis.
2) Look at the third ANOVA analysis {i.e., relationship between the hours of TV watched and general happiness} and then the Kruskal-Wallis for the same variables. Compare the results of these two tests. Why might the KW be more appropriate to use to analyze the relationship between these variables? Which test would your report in a research article and why?
Descriptives
[DataSet1] /Users/ Downloads/House_prob.sav
Descriptive Statistics
Maximu
Minimum
m
N
Overall satisfaction,
material well-being
Valid N (listwise)
Graph
Mean
Statistic Statistic Statistic Statistic
941
4
16
11.78
941
Std.
Deviation
Skewness
Kurtosis
Std.
Std.
Statistic
Statistic
Error
Statistic
Error
2.664
-.311
.080
-.211
.159
Descriptives
[DataSet2] /Users/Downloads/survey_sample.sav
Descriptive Statistics
N
Age of respondent
Maximu
Minimum
m
Mean
Statistic Statistic Statistic Statistic
998
18
89
45.50
Std.
Deviation
Skewness
Kurtosis
Std.
Std.
Statistic
Statistic
Error
Statistic
Error
17.155
.575
.077
-.564
.155
Hours per day watching
TV
Valid N (listwise)
Graph
Graph
825
823
0
21
2.86
2.063
2.171
.085
10.628
.170
Univariate Analysis of Variance
[DataSet1] /User/Downloads/House_prob.sav
Between-Subjects Factors
Group house
problems
1.00
2.00
Value Label
Zero house
problems
One house
problem
N
367
264
3.00
between 2
and 8 house
problems
304
Descriptive Statistics
Dependent Variable: Overall satisfaction, material wellbeing
Std.
Group house problems
Mean
Deviation
N
Zero house problems
12.71
2.353
367
One house problem
11.97
2.588
264
between 2 and 8 house
10.57
2.594
304
problems
Total
11.80
2.658
935
Levene’s Test of Equality of Error Variancesa,b
Overall satisfaction,
material well-being
Levene
Statistic
2.109
1.864
1.864
df1
df2
932
932
929.772
Based on Mean
2
Based on Median
2
Based on Median and
2
with adjusted df
Based on trimmed
2.045
2
932
mean
Tests the null hypothesis that the error variance of the dependent variable is equal across
groups.
a. Dependent variable: Overall satisfaction, material well-being
b. Design: Intercept + hprobgrp
Sig.
.122
.156
.156
.130
Tests of Between-Subjects Effects
Dependent Variable: Overall satisfaction, material well-being
Type III Sum
Mean
Source
of Squares
df
Square
F
a
Corrected
771.072
2
385.536
61.674
Model
Sig.
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