Gender and GPA Correlations SPSS
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Gender and GPA Correlations SPSS
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Gender and GPA Correlations SPSS. You will complete this assignment using the attached DAA Template. I
have also attached the scoring guide, and a few SPSS tips/guidelines.
As with the previous two assignments, the submission should be in
narrative format with supporting statistical output (table and graphs)
integrated into the narrative in the appropriate places (not all at the
end of the table).
You will analyze the following variables in grades.sav data set:
gender
gpa
total
final
Gender and GPA Correlations SPSS
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Step 1: Write Section 1 of the DAA.
Provide the context of the grades.sav set.
Include a definition of the specified variables and corresponding scales
of measurement.
Indicate the type of correlation of each X, Y pair (Pearson’s r,
Spearman’s r, point-biserial r, et cetera)
Specify the sample size of the data set.
Step 2: Write Section 2 of the DAA.
Test the assumptions of correlation for gpa and final.
Paste the SPSS histogram output for each variable and discuss your
visual interpretations.
Paste SPSS descriptives output showing skewness and kurtosis values and
interpret them.
paste SPSS scatter plot output with “gpa” set to the horizontal axis and
“final” set to the vertical axis.
Gender and GPA Correlations SPSS
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Conduct a visual inspection of the
scatter plot to analyze other assumptions of correlations.
Section 3. Write Section 3 of the DAA.
Specify a research question related to gpa and final.
Articulate the null hypothesis and alternative hypothesis.
Specify your alpha level.
Step 4: Write Section 4 of the DAA.
Paste the SPSS output of the intercorrelation matrix for all specified
variables.
First, report the lowest magnitude correlation in the intercorrelation
matrix, including degrees of freedom, correlation coefficient, p value,
and effect size. Interpret the effect size. Specify whether or not to
reject the null hypothesis for this correlation.
Gender and GPA Correlations SPSS
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Second, report the highest magnitude correlation on the intercorrelation
matrix, including degrees of freedom, correlation coefficient, p value,
and effect size. Interpret the effect size. Specify whether or not to
reject the null hypothesis for the correlation.
Third, report the correlation between gpa and final, including degrees
of freedom, correlation coefficient, p value, and effect size. Interpret
the effect size. Analyze the correlation in terms of the null hypothesis.
Step 5: Write Section 5 of the DAA.
Discuss the implications of this correlation as it relates to the
research question.
Conclude with an analysis of the strengths and limitations of
correlational analysis.
Gender and GPA Correlations SPSS
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