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4 pages/β‰ˆ1100 words
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1 Source
Style:
APA
Subject:
Accounting, Finance, SPSS
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English (U.S.)
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MS Word
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Topic:

Investigating Mean Differences

Other (Not Listed) Instructions:

QUANTITATIVE ANALYSIS REPORT: MEAN DIFFERENCES ASSIGNMENT INSTRUCTIONS
OVERVIEW
You will take part in several data analysis assignments in which you will develop a report using tables and figures from the IBM SPSS® output file of your results. Using the resources and readings provided, you will interpret these results and test the hypotheses and writeup these interpretations.
General Submission Guidelines:
• Copy and paste all tables and figures into a Word document and format the results in APA.
• Interpret your results.
• Final report should be formatted using APA style, and in a Word document.
• 4-5 double-spaced pages of content in length (not counting the title page or references).
• Submit your mean differences tests assignment by 11:59 p.m. (ET) on Sunday of the assigned Module: Week.
This assignment has three parts:
a. Complete the Additional Exercises on page 261
b. Complete the Additional Exercises on page 280
c. Complete the Additional Exercises on page 289
INSTRUCTIONS
As doctoral students, your assignments are expected to follow the principles of high-quality scientific standards and promote knowledge and understanding in the field of criminal justice. You should apply a rigorous and critical assessment of a body of theory and empirical research, articulating what is known about the phenomenon and ways to advance research about the topic under review. Research syntheses should identify significant variables, a systematic and reproducible search strategy, and a clear framework for studies included in the larger analysis.
Manuscripts may be written in first person (“I”).
All manuscripts should be clearly and concisely written, with technical material set off. Please do not use jargon, slang, idioms, colloquialisms, or bureaucratese. Use acronyms sparingly and spell them out the first time you use them. Please do not construct acronyms from phrases you repeat frequently in the text.
Structure of Assignment Paper
1. Use the following structure for your research article: Introduction, Methods, Results, Discussion, and Conclusion. Include a robust discussion section distinct from your conclusion.
2. Give your article a Title that is both descriptive and inviting to prospective readers. Your article title should appeal to both scholars and practitioners. Use a shortened version of the main idea of your article in the title.
3. Methods: The Methods section “describes in detail how the study was conducted, including conceptual and operational definitions of the variables used in the study. Different types of studies will rely on different methodologies; however, a complete description of the methods used enables the reader to evaluate the appropriateness of your methods and the reliability and the validity of your results” (APA Style Guide 6th ed., p. 29-32). Include a description of your sample size and procedure, participants, how data collected, and research design.
4. Results include data analysis used, results of the analysis including tables and figures.
5. Discussion section includes interpretations from the analysis. How do your analyses relate to the results found by scholars in your lit review/theory section. In this section, evaluate and interpret their implications, especially with respect to your original hypotheses.
6. Provide a distinct Conclusion that tells readers what you found, why it is important, and what difference it will make for research and practice. Ensure you separate your discussion section from the conclusion of the article. Synthesize your article; do not summarize it. Show readers how the pieces of your article fit together. Answer the question “So what?” Why is your article significant, and how is it relevant?
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.
Book: SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS 7th ed. Edition
ISBN: 13: 9780335249497

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Investigating Mean Differences
Name
Institution
Course
Instructor
Due Date
Investigating Mean Differences
Introduction
One way through which a researcher can draw insight and make decisions about data in statistics is by comparing the mean differences between groups. Three widely used approaches to compare mean differences are the Independent Sample t-test, One-Way ANOVA, and Two-Way ANOVA. The tests determine if there are significant differences between the means of two or more groups, depending on the research question and the structure of the data. To complete the discussion, the "sleep.sav" dataset will be utilized. The dataset contains data on sleep patterns and various factors that may influence the quality and duration of sleep. An analysis of the dataset using the three statistical tests will provide a comprehensive understanding of the underlying principles and assumptions of each statistical test, as well as their applications and limitations.
Methods
The present study seeks to investigate mean sleepiness rating using an Independent Sample t-test, One-Way ANOVA, and Two-Way ANOVA. The data analysis will be conducted using IBM SPSS Statistics, a widely used software package for statistical analysis. The Independent Sample t-test will be utilized to examine if there are differences in mean sleepiness ratings across gender. This test is appropriate for this analysis as it compares the means of two independent groups, in this case, male and female participants.
One-Way ANOVA will be employed to compare the mean sleepiness ratings among three age groups: 37 years and under, 38-50 years, and 51+ years. The test compares the means of three or more independent groups, in this case, the different age groups. If the One-Way ANOVA reveals a significant mean difference, post hoc tests will be conducted to further explore the pairwise differences between the pairs under investigation. These tests identify the specific age groups that exhibit significant differences in their mean sleepiness ratings.
Two-Way ANOVA will be used to compare the mean sleepiness ratings between male and female participants across the three age groups defined above. This test is appropriate for this analysis as it considers the potential interaction between two independent variables (gender and age) on the dependent variable (sleepiness ratings). Post-hoc tests will be conducted to further investigate the pairwise differences between the groups if the Two-Way ANOVA reveals significant main effects or interactions
Results
Independent Sample t-tests
Table 1
Group Statistics and T-test Results
Group Statistics


sex

N

Mean

Std. Deviation

Std. Error Mean

sleepy & assoc sensations scale

female

144

27.84

10.699

.892


male

107

23.63

9.813

.949

Independent Samples Test


Levene's Test for Equality of Variances

t-test for Equality of Means


F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference








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