Description
Correlation analyses are a set of statistical tests used to determine whether there are relationships between two or more variables. At their most basic level, simple bivariate correlations, using Pearson’s Product-Moment Correlation test, are used to assess the initial relationship between two scale (numerical) variables. For example, a researcher might be interested in understanding the bivariate relationship between several business variables; however, it is important to note that correlation does not imply causality.
For this Assignment, you will run a Pearson Product-Moment Correlation Coefficient analysis using the Week 5 Data File for the Pearson Product-Moment Correlation Coefficient.sav data file.
To prepare for this Assignment, review Lesson 16A and Lesson 31 in your Green and Salkind (2017) text, as well as the Week 5 Assignment Exemplar and Week 5 Assignment Template documents, provided in this week’s Resources. Consider how a correlation analysis would effectively allow you to answer your research questions.
By Day 7
Submit a synthesis of statistical findings derived from correlational analysis that follows the Week 5 Assignment Template. Your synthesis must include the following:
- A description and justification for using the Pearson Product-Moment correlation test
- A properly formatted research question
- A properly formatted H0(null) and H1 (alternate) hypothesis
- An APA-formatted “Results” section for the Pearson Product-Moment test
- Identification of the statistical test
- Identification of variables (there is no distinction between independent and dependent variables for the Pearson Product-Moment correlation test)
- Identification of data assumptions and assessment outcome
- Inferential results in correct APA statistical notation format
- A properly formatted scatter plot
- An explanation of the differences and similarities of correlation analysis and bivariate regression analysis
- Properly APA-formatted references
- An Appendix containing SPSS output (see Week 5 Assignment Exemplar)
Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. You must use the Week 5 Assignment Template to complete this Assignment. Also, refer to the Week 5 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.
DDBA 8307 Week 5 Assignment Exemplar1
John Doe2
DDBA 8307-63
Dr. Jane Doe4
1
Footnotes within the narrative are depicted by bold yellow superscripts; the footnotes will not be in
your final submission.
2
Type your name here.
3
Type in DDBA section number (e.g. DDBA 8307 – 6).
4
Enter faculty name here.
2
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 Question5
Is there a statistically significant relationship between job satisfaction and
organizational commitment?
Hypotheses6
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.
5
Quantitative research questions can be presented in a variety of formats; however, you will be safe using
this format.
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
3
Results7
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
7
Variable
M
SD
Organizational commitment
21.36
4.55
Job satisfaction
22.10
4.15
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.
4
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)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 significant9; there was a strong negative correlation between the two
variables, r = -.58, n = 426, p < .0110, with high levels of job satisfaction associated with
low intent to leave.
8
Identify if test is one- or two-tailed.
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.
9
5
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.
6
References
Type references here in proper APA format.
7
Appendix – Pearson’s Product-Moment Correlation SPSS
Output11
Correlations
Total
perceived
stress
Total
PCOISS
Total PCOISS
Pearson
Correlation
1
-.581**
Sig. (2-tailed)
.000
N
430
426
Total perceived Pearson
-.581**
1
stress
Correlation
Sig. (2-tailed)
.000
N
426
433
**. Correlation is significant at the 0.01 level (2-tailed).
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.
1
DDBA 8307 Week 5 Assignment Template
John Doe
DDBA 8307-6
Dr. Jane Doe
2
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
Type research question here. See Week 5 Assignment Exemplar for more detail.
Hypotheses
Type null and alternative hypotheses here. See Week 5 Assignment Exemplar for
more detail.
Results
Type results here based upon the SPSS output. See Week 5 Assignment Exemplar
for more detail.
3
References
Type references here in proper APA format.
4
Appendix – Pearson’s Product-Moment Correlation SPSS Output
Purchase answer to see full
attachment
