Data Analysis & Application

DESCRIPTIVES VARIABLES=quiz1 gpa total final
/STATISTICS=KURTOSIS SKEWNESS.

Descriptive Statistics
N Skewness Kurtosis
Statistic Statistic Std. Error Statistic Std. Error
quiz1 105 -.851 .236 .162 .467
gpa 105 -.220 .236 -.688 .467
total 105 -.757 .236 1.146 .467
final 105 -.341 .236 -.277 .467
Valid N (listwise) 105

Data Analysis Plan

1. Name the variables and the scales of measurement.
   The variables are Quiz 1, GPA, Total, and Final.
   The scales of measurement is nominal.
2. State your research question, null and alternate hypothesis.
   EXAMPLE: There is no statistically significant relationship between the

Testing Assumptions

1. Paste the SPSS output for the given assumption.
2. Summarize whether or not the assumption is met.
   Results & Interpretation

CORRELATIONS
/VARIABLES=quiz1 gpa total final
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.

Correlations
quiz1 gpa Total final
quiz1 Pearson Correlation 1 .152 .797** .499**
Sig. (2-tailed) .121 .000 .000
N 105 105 105 105
Gpa Pearson Correlation .152 1 .318** .379**
Sig. (2-tailed) .121 .001 .000
N 105 105 105 105
total Pearson Correlation .797** .318** 1 .875**
Sig. (2-tailed) .000 .001 .000
N 105 105 105 105
final Pearson Correlation .499** .379** .875** 1
Sig. (2-tailed) .000 .000 .000
N 105 105 105 105
**. Correlation is significant at the 0.01 level (2-tailed).

1. Paste the SPSS output for main inferential statistic(s) as discussed in the instructions.
2. Interpret statistical results as discussed in the instructions.
   Statistical Conclusions
3. Provide a brief summary of your analysis and the conclusions drawn.
4. Analyze the limitations of the statistical test.
5. Provide any possible alternate explanations for the findings and potential areas for future exploration.

Application

1. Think of your own field of study. Describe how this type of analysis might be used in your field. As a social worker
2. Analyze what the value and potential implication of such an analysis would be.

References