See the
area for links to resources that you will use for this assignment:
You will analyze the following variables in the grades.sav data set:
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.
Second, report the highest 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.
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.
Submit your DAA Template as an attached Word document in the assignment area.
Note: Your instructor may also use the Writing Feedback Tool to provide feedback on your writing. In the tool, click the linked resources for helpful writing information.
Resources
Running head: DATA ANALYSIS AND APPLICATION TEMPLATE 1
DATA ANALYSIS AND APPLICATION TEMPLATE 2
Data Analysis and Application (DAA) Template
Use this file for all assignments that require the DAA Template. Although the statistical tests will change from week to week, the basic organization and structure of the DAA remains the same. Update the title of the template. Remove this text and provide a brief introduction.
Describe the context of the data set. You may cite your previous description if the same data set is used from a previous assignment.
Specify the variables used in this DAA and the scale of measurement of each variable.
Specify sample size (N).
1. Articulate the assumptions of the statistical test.
Paste SPSS output that tests those assumptions and interpret them. Properly integrate SPSS output where appropriate. Do not string all output together at the beginning of the section.
Summarize whether or not the assumptions are met. If assumptions are not met, discuss how to ameliorate violations of the assumptions.
1. Articulate a research question relevant to the statistical test.
2. Articulate the null hypothesis and alternative hypothesis.
3. Specify the alpha level.
1.
Paste SPSS output for an inferential statistic. Properly integrate SPSS output where appropriate. Do not string all output together at the beginning of the section.
2. Report the test statistics.
3. Interpret statistical results against the null hypothesis.
Section 5: Conclusion
1. State your conclusions.
2. Analyze strengths and limitations of the statistical test.
References
Provide references if necessary.
Correlations Scoring Guide
Due Date: End of Unit 6
Percentage of Course Grade: 12%.
CRITERIA NON-PERFORMANCE BASIC PROFICIENT DISTINGUISHED
Apply the
appropriate SPSS
procedures to check
assumptions and
calculate the
correlations.
20%
Does not apply the
appropriate SPSS
procedures to check
assumptions and
calculate the
correlations.
Partially applies the
appropriate SPSS
procedures to check
assumptions and
calculate the
correlations.
Applies the
appropriate SPSS
procedures to check
assumptions and
calculate the
correlations.
Applies the appropriate
SPSS procedures to
check assumptions and
calculate the
correlations in an
exemplary manner.
Provide context for
the data set,
including a
definition of
required variables
and scales of
measurement.
10%
Does not provide
context for the data
set.
Partially provides
context for the data
set. May or may not
have included a
definition of required
variables and scales of
measurement.
Provides context for
the data set,
including a definition
of required variables
and scales of
measurement.
Provides exemplary
context for the data set,
including a definition of
required variables and
scales of measurement.
Analyze the
assumptions of
correlation.
20%
Does not address the
assumptions of
correlation.
Identifies, but does not
analyze, the
assumptions of
correlation.
Analyzes the
assumptions of
correlation.
Evaluates the
assumptions of
correlation.
Articulate a research
question, null
hypothesis,
alternative
hypothesis, and
alpha level.
10%
Does not articulate a
research question,
null hypothesis,
alternative
hypothesis, and alpha
level.
Partially articulates a
research question, null
hypothesis, alternative
hypothesis, and alpha
level.
Articulates a
research question,
null hypothesis,
alternative
hypothesis, and
alpha level.
Articulates a research
question, null
hypothesis, alternative
hypothesis, and alpha
level in an exemplary
manner.
Interpret the
correlation output.
20%
Does not interpret the
correlation output.
Identifies, but does not
interpret, the
correlation output.
Interprets the
correlation output.
Evaluates the
correlation output.
Generate a
conclusion that
includes strengths
and limitations of
correlation.
10%
Does not generate a
conclusion that
includes strengths
and limitations of
correlation.
Generates a
conclusion that does
not include, or that
includes a partial list
of, strengths and
limitations of
correlation.
Generates a
conclusion that
includes strengths
and limitations of
correlation.
Generates an
exemplary conclusion
that includes strengths
and limitations of
correlation.
Communicate in a
manner that is
scholarly,
professional, and
consistent with the
expectations for
members in the
identified field of
study.
10%
Does not
communicate in a
manner that is
scholarly,
professional, and
consistent with the
expectations for
members in the
identified field of
study.
Inconsistently
communicates in a
manner that is
scholarly, professional,
and consistent with the
expectations for
members in the
identified field of study.
Communicates in a
manner that is
scholarly,
professional, and
consistent with the
expectations for
members in the
identified field of
study.
Without exception,
communicates in a
manner that is
scholarly, professional,
and consistent with the
expectations for
members in the
identified field of study.
Note: This guide is an example of creating correlation output in SPSS with the grades.sav file. The variables shown in this guide do not correspond with the actual variables assigned in Unit
6
Assignment 1. Carefully follow the assignment instructions for a list of assigned variables. Screen shots were created with SPSS 21.0.
To complete Section 2 of the DAA, you will generate SPSS output for histograms, descriptive statistics, and a scatter plot. Refer to the Unit 6 assignment instructions for a list of assigned variables. The example variables quiz1 and quiz2 are shown below.
Step 1. Open grades.sav in SPSS.
Step 2. Generate SPSS histogram output for the Unit 6 assignment variables. (See the step-by-step guide from Unit 3 for complete instructions on generating histograms.)
· On the
Graphs menu, point to
Legacy Dialogs and click Histogram…
· Create separate histograms for the two assigned variables for the Unit 6 assignment.
· Copy the two histograms and paste them into Section 2 of the DAA template.
· Provide a visual interpretation for each histogram. The examples of quiz1 and quiz2 are shown below.
Step 3. Next, you will generate descriptive statistics for your Unit 6 assignment variables. (See the step-by-step guide from Unit 3 for complete instructions on generating descriptive statistics output.)
· On the
Analyze menu, point to Descriptive Statistics and click
Descriptives…
· Copy the descriptive statistics output and paste it into the DAA Template.
· Below the output, interpret the skewness and kurtosis values.
Step 4. Create the SPSS scatter plot for your assigned variables.
· On the
Graphs menu, point to
Legacy Dialogs and click
Scatter/Dot…
· In the Scatter/Dot dialog box, select Simple Scatter and then click the Define button.
· In the Simple Scatterplot dialog box, select the assigned variables for the X Axis (horizontal) and Y Axis (vertical) as required in the Unit 6 Assignment 1 instructions. (The examples of quiz1 and quiz2 are shown below.) Click OK.
· Copy the scatter plot and paste it into the DAA Template.
· Then provide an interpretation of the scatter plot.
To complete DAA Section 4, generate the SPSS intercorrelation matrix of all assigned Unit 6 Assignment 1 variables. The example variables of quiz1, quiz2, quiz3, and quiz4 are shown below.
Step 1. On the
Analyze menu, point to
Correlate and click
Bivariate…
Step 2. In the Bivariate Correlations dialog box:
· Move the Unit 6 assignment variables into the
Variables box.
· Select the Pearson
option, the
Two-tailed option, and the
Flag significant correlations option.
· Click OK.
Step 3. Copy the intercorrelation matrix and paste it into Section 4 of the DAA Template. Then interpret it as instructed in the assignment instructions.
6
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