synthesis of statistical findings
ashe.a
USW1_DDBA_8307_Week05_AssignmentExemplar.docx7
DDBA 8307 Week 5 Assignment Exemplar[footnoteRef:1] [1: Footnotes within the narrative are depicted by bold yellow superscripts; the footnotes will not be in your final submission.]
John Doe[footnoteRef:2] [2: Type your name here.]
DDBA 8307-6[footnoteRef:3] [3: Type in DDBA section number (e.g. DDBA 8307 – 6). ]
Dr. Jane Doe[footnoteRef:4] [4: Enter faculty name here.]
1
Pearson’s Product-Moment Correlation
Type text here. You will describe and defend using the Pearson Product-Moment Correlation test for your analysis. Use at least two outside resources; that is, resources not provided in the course resources, readings, etc. These citations will be presented in the References section. This exercise will give you practice for addressing Rubric Item 2.13b, which states, “Describes and defends, in detail, the statistical analyses that the student will conduct….” This section should be no more than two paragraphs.
Research Question[footnoteRef:5] [5: Quantitative research questions can be presented in a variety of formats; however, you will be safe using this format. ]
Is there a statistically significant relationship between job satisfaction and organizational commitment?
Hypotheses[footnoteRef:6] [6: Two hypotheses, the null (H0) and alternative (H1), are to be stated for each research question. See p. 39 in the Research Handbook for more detailed examples. See more on hypotheses at http://www.socialresearchmethods.net/kb/hypothes.php ]
H0: There is not a statistically significant relationship between job satisfaction and organizational commitment.
H1: There is a statistically significant relationship between job satisfaction and organizational commitment.
Results[footnoteRef:7] [7: DBA Rubric Item 3.2d: Reports inferential statistical analyses results, organized by research question, in proper APA statistical notation/format. Includes the alpha level chosen for the test, test value, p (significance level) values, effect size, degrees of freedom, confidence intervals (when appropriate), etc. ]
In this subheading, I will present descriptive statistics, discuss testing of the assumptions, present inferential statistic results, and conclude with a concise summary.
Descriptive Statistics
A total of 426 employees participated in the study. The assumptions of normality, linearity, and homoscedasticity were evaluated with no significant violations noted. Table 1 depicts descriptive statistics for the study variables. Figure 1 depicts a scatter plot of the bivariate correlation, indicative of a negative linear relationship between job satisfaction and intent to leave.
Table 1
|
Variable |
M |
SD |
|
Organizational commitment |
21.36 |
4.55 |
|
Job satisfaction |
22.10 |
4.15 |
Scatterplot of Job Satisfaction and Intent to Leave
Figure 1. Scatterplot of job satisfaction and intent to leave. The negative linear relationship indicates that high levels of job satisfaction are associated with low intent to leave.
Inferential Results
A Pearson Product-Moment correlation test (two-tailed)[footnoteRef:8], a = .05, was conducted to assess whether there was a statistically significant relationship between employee job satisfaction and employee intent to leave. The assumptions of normality, linearity, and homoscedasticity were evaluated with no significant violations noted (see Figure 1). The results were significant[footnoteRef:9]; there was a strong negative correlation between the two variables, r = -.58, n = 426, p < .01[footnoteRef:10], with high levels of job satisfaction associated with low intent to leave. [8: Identify if test is one- or two-tailed.] [9: Remember, your results might not be significant (e.g. p ≥ .05) or the direction of the relationship (+ or –) might differ—report results appropriately. ] [10: r = strength and direction of the relationship; n = sample size; p < .01 is a significant relationship, as p < .05.]
Correlation Analysis and Bivariate Regression Analysis
Type text here. Explain the differences and similarities of correlation analysis and bivariate regression analysis. This section should be no more than two paragraphs.
2
References
Type references here in proper APA format.
Appendix – Pearson’s Product-Moment Correlation SPSS Output[footnoteRef:11] [11: You will copy and paste the appropriate SPSS output into the Assignment. See the document titled “Copying and Pasting SPSS Output Into Word” located in the Week 2 Resources.]
|
Correlations |
|||
|
|
Total PCOISS |
Total perceived stress |
|
|
Total PCOISS |
Pearson Correlation |
1 |
-.581** |
|
|
Sig. (2-tailed) |
|
.000 |
|
|
N |
430 |
426 |
|
Total perceived stress |
Pearson Correlation |
-.581** |
1 |
|
|
Sig. (2-tailed) |
.000 |
|
|
|
N |
426 |
433 |
|
**. Correlation is significant at the 0.01 level (2-tailed). |
