PSY FPX 7864 Assessment 4 Data Analysis and Application

Assessment 4 Data Analysis and Application

Student Name

Capella University

RSCH-FPX 7864 Quantitative Design and Analysis

Prof. Name

Date

Data Analysis and Application Template

Data Analysis Plan

In the present analysis, two variables were identified: “Section” and “Quiz3.” “Section” represents distinct class sections, while “Quiz3” is a continuous variable indicating the number of correct answers on Quiz 3. The research question guiding the analysis is formulated as follows: “Is there a significant difference in the performance on Quiz 3 among different class sections?” The null hypothesis posits no significant difference in Quiz 3 performance across class sections, while the alternative hypothesis suggests a significant difference.

Testing Assumptions

Levene’s test for equality of variances examined the assumption of homogeneity in the data for the analysis of variance (ANOVA). The test produced an F statistic of 2.898, with degrees of freedom for the numerator (df1) equal to 2.000 and degrees of freedom for the denominator (df2) equal to 102.000. The p-value was 0.060. The p-value of 0.060 suggests no evidence to reject the assumption of homogeneity. Therefore, Levene’s test indicates that the assumption of homogeneity is not violated, allowing for the appropriate use of the “none” version of ANOVA for data analysis.

Results & Interpretation

Descriptives – quiz3 section

ANOVA – quiz3

Post Hoc Comparisons – section

The F test results indicate a significant difference among the three class sections on Quiz 3 (F = 23.521, p < .001). Thus, the null hypothesis is rejected, suggesting differences in quiz scores between the sections. Post-hoc tests using the Tukey method reveal significant differences between sections 1 and 2 (mean difference = 0.939, p = 0.021) and between sections 2 and 3 (mean difference = -1.606, p < .001). However, no significant difference is observed between sections 1 and 3 (mean difference = -0.667, p = 0.159).

In Conclusion

The F test results demonstrate a significant difference in quiz scores among the three class sections. Post-hoc tests reveal specific differences between sections, highlighting variations in performance. While sections 1 and 2, as well as sections 2 and 3, differ significantly, there is no significant difference between sections 1 and 3. These findings suggest performance disparities across class sections on the quiz.

Statistical Conclusions

The ANOVA test analyzed quiz 3 performance among three class sections, revealing significant differences. Post-hoc comparisons showed varying scores between sections. Section 1 outperformed Section 2, while Section 2 outperformed Section 3. These insights can aid in assessing teaching methods and curriculum design effectiveness, guiding resource allocation and educational interventions.

Application

ANOVA is utilized to assess whether means of different sample groups are statistically different. In nursing, ANOVA could be employed to compare the effectiveness of various doses of an anti-depressant on depression scores. For instance, participants could be divided into groups receiving different doses (e.g., 50mg, 100mg, 150mg, 200mg), and depression scores measured using a questionnaire like the PHQ-9. This information is crucial for mental health nurses to determine the most effective anti-depressant dose in treating depressive symptoms.

ADDITIONAL INSTRUCTIONS FOR THE CLASS – PSY FPX 7864 Assessment 4 Data Analysis and Application

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  • Discussion Questions (DQ)

Initial responses to the DQ should address all components of the questions asked, including a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. One or two-sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses.

  • Weekly Participation

Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.

  • APA Format and Writing Quality

Familiarize yourself with the APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition.

  • Use of Direct Quotes

I discourage over-utilization of direct quotes in DQs and assignments at the Master’s level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source.

  • LopesWrite Policy

For assignments that need to be submitted to Lopes Write, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me. Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes. Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own? Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for tips on improving your paper and SI score.

  • Late Policy

The university’s policy on late assignments is a 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading. PSY FPX 7864 Assessment 4 Data Analysis and Application

  • Communication

Communication is so very important. There are multiple ways to communicate with me: Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class. Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours. PSY FPX 7864 Assessment 4 Data Analysis and Application

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