Assignment OverviewIn this week's assignment, you'll get a chance to run and interpret your first...

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Assignment OverviewIn this week's assignment, you'll get a chance to run and interpret your first inferential statistics analysis, correlations. Your readings and the 7864 Course Study Guide [PDF]...

Assignment Overview

In this week's assignment, you'll get a chance to run and interpret your first inferential statistics analysis, correlations. Your readings and the 7864 Course Study Guide [PDF] will help you in your efforts

What You Need to Know

Readings

Read about how to apply your knowledge of correlation and run some analyses in SPSS.

George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). Routledge.

Chapter 10 describes how to run a bivariate correlational analysis in SPSS.

Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.

Review information in Chapter 8 about assumptions and effect sizes to help you with your assignment.

The 7864 Course Study guide [PDF] highlights content to focus on as you read and absorb the materials. You may also find some additional articles with direct relevance to your field here.

SPSS Data Set Correlation

This week, you will apply your understanding of correlation to the SPSS data set.

CORRELATION APPLICATION AND INTERPRETATION

Instructions

Complete the following for this assignment:

For this assignment, you will use the Data Analysis and Application template (DAA Template [DOC]).

For help with SPSS, refer to Step-by-Step SPSS: Correlations [DOCX].

For help copying SPSS output into your DAA review the Copy/Export Output Instructions [HTML].

Click on the "SPSS Speedrun" button to watch a brief tutorial video on this assignment.

Click here to watch the video

Click on the "Deeper Dive" button to watch a longer video on how to interpret the SPSS output.

Click here to watch the video

For information on the data set, you may find the Data Set Instructions [DOCX] helpful.

Refer to the 7864 Course Study Guide [PDF] for information on analyses and interpretation.

The grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.

This week’s assignment is on correlations. You will analyze the following variables in the grades.sav data set:

SPSS Variable Definition

Quiz1 Quiz 1: number of correct answers

GPA Previous grade point average

Total Total number of points earned in class

Final Final exam: number of correct answers

Step 1: Write Section 1 of the DAA: The Data Analysis Plan

Name the four variables used in this analysis and whether they are categorical or continuous.

State a research question, null hypothesis, and alternate hypothesis for total and final.

State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1.

Step 2: Write Section 2 of the DAA: Testing Assumptions

Test for one of the assumptions of correlation – normality.

Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above.

Paste the table in the DAA.

Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated.

Step 3: Write Section 3 of the DAA: Results and Interpretation

Paste the intercorrelation matrix (SPSS Correlation table) for the four variables into the document.

Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.

Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.

Step 4: Write Section 4 of the DAA: Statistical Conclusions

Provide a brief summary of your analysis and the conclusions drawn about correlations.

Analyze the limitations of the statistical test and/or possible alternative explanations for your results.

Step 5: Write Section 5 of the DAA: Application

Analyze how you might use correlations in your field of study.

Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.

Submit your DAA template as an attached Word document in the assignment area.

Competencies Measured

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and assignment criteria:

Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.

Analyze statistical assumptions.

Competency 2: Analyze the decision-making process of data analysis.

Articulate the data analysis plan.

Competency 3: Apply knowledge of hypothesis testing.

Interpret statistical results and hypotheses.

Competency 4: Interpret the results of statistical analyses.

Explain statistical conclusions, the limitations of the test, and possible alternative explanations.

Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.

Analyze the potential applications of the test in the field and their implications.

Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.

Communicate in a manner that is scholarly, professional, and adheres to APA style and formatting.

Resources

Correlation Application and Interpretation Scoring Guide.

Already started created the graphs and started the first part needs to be looked over too.

hd-2522639cf7864daatemplate-5-2-zq3ckqxz.doc hd-2522639week-4-cor-xxtfhbij.doc

Answered Same DayNov 09, 2022

Mukesh · Accepted Answer

Running head: DATA ANALYSIS AND APPLICATION TEMPLATE
1
 PAGE 
2
Correlation 
 Patricia Harris
Capella University
Data Analysis Plan
This assignment discusses the variables: Quiz1, GPA, Final, and Total from grades.sav file.
 This study verifies the teacher’s data from both students’ demographics and grades on the four variables listed above. The grades from Quiz1, Final, and Total variables are categorical. The variable GPA is the only one that is continuous. 
The first research question: Is there a relationship between the variables Total and Final? 
Hypothesis 1: There’s correlation between Total and Final. The null hypothesis: There is no significant relationship between the two variables. The alternative hypothesis is: There is a significant relationship between the two variables.
The second research question to be evaluated: Is there a relationship between GPA and Quiz1? Hypothesis 2: There’s correlation between GPA and Quiz1. Null hypothesis: There is no significant relationship between the two variables GPA and Quiz1. Alternative hypothesis:

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Assignment OverviewIn this week's assignment, you'll get a chance to run and interpret your first inferential statistics analysis, correlations. Your readings and the 7864 Course Study Guide [PDF]...

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