Skip to content
Solved Assignments

BTM8107-8 Repeated Measures

Study on repeated measures design in statistical analysis.

Preview 6 of 17 pages

See the first 6 pages exactly as they appear in the document.

  1. Page 1
    Read page 1 as text

    BTM8107 - 8 - 6 1 NORTHCENTRAL UNIVERSITY ASSIGNMENT COVER SHEET Student : Based on your analysis of the one - way repeated measures ANOVA for both test scores over a 12 - week period and anxiety levels of inmates concerning job loss during incarceration, answer the following questions: 1. Analysis of Normality and Outliers: o Discuss how you assessed the assumption of normality for your dependent variable in both parts of the study (test scores and anxiety levels). How did you handle any outliers that you identified? o Word count: 300 words. 2. Interpretation of Sphericity Violation and Post Hoc Tests: o Explain how the assumption of sphericity was tested in your study, and the impact of the violation of this assumption on the results of the repeated measures ANOVA. Describe the post hoc tests you conducted to explore differences between levels of the within - subjects factor and summarize your findings. o Word count: 400 words. 3. Statistical Significance and Practical Implications: o In the case of both the test scores and the anxiety study, how did you interpret the statistical significance of the ANOVA results? Discuss the practical implications of these findings in relation to the research questions you were investigating. o Word count: 300 words.

  2. Page 2
  3. Page 3
    Read page 3 as text

    BTM8107 - 8 - 6 2 THIS FORM MUST BE COMPLETELY FILLED IN Follow these p rocedures: If requested by your instructor, please include an assignment cover sheet. This will become the first page of your assignment. In addition, your assignment header should include your last name, first initial, course code, dash, and assignment number. This should be left justified, with the page number right justified. For example: DoeJXXX0000 - 1 1 Save a copy of your assignments: You may need to re - submit an assignment at your instructor’s request. Make sure you save your files in accessible location. Academic integrity: All work submitted in each course must be your own original work. This includes all assignments, exams, term papers, and other projects required by your instructor. BTM8107 - 8 Statistics II Repeated Measures Faculty Use Only

  4. Page 4
    Read page 4 as text

    BTM8107 - 8 - 6 3 Repeated Measures BTM8107 - 8 Introduction The one - way repeated measures analysis of variance (ANOVA) is an extension of the paired - samples t - test and is used to determine whether there are any statistically significant differences between the population means of three or more levels of a within - subjects factor. The "within - subjects" part simply means that the same participants are either: (a) measured on the same dependent variable at the same "time points"; or (b) measured on the same dependent variable while undergoing the same "conditions" (Laerd.com, 2015). The levels are related becau se they contain the same participants in each level. In this study, I am using the data set from Activity 6.sav to determine whether test scores between males and females increase over a period of 12 weeks. In this example, Score is my dependent variable, while my within - subjects factor is Scores ( seven levels where each of the seven points is considered a level . Part A 1. Exploratory Data Analysis In the tables below , we see that all of the " Sig. " values are greater than .05 (they are .628, .418, .322, .179, .393, .138, .270, .452, .605, .233, .225, .323, .658, and .304 . Therefore, the dependent variable is normally distributed for each level of the within - subjects factor, gender . Due to the setup in SPSS Statistics, this is equivalent to stating that pre - test Week 12 scores are all normally distributed. Thus, score concentration was normally distributed at each time point, as assessed by Shapiro - Wilk's test ( p > .05).

  5. Page 5
    Read page 5 as text

    BTM8107 - 8 - 6 4 Tests of Normality Gender Kolmogorov - Smirnov a Shapiro - Wilk Statistic df Sig. Statistic df Sig. Pre - test score Female .153 8 .200 * .942 8 .628 Male .236 4 . .897 4 .418 Week 2 score Female .224 8 .200 * .905 8 .322 Male .328 4 . .834 4 .179 Week 4 score Female .189 8 .200 * .915 8 .393 Male .322 4 . .818 4 .138 Week 6 score Female .252 8 .144 .897 8 .270 Male .233 4 . .904 4 .452 Week 8 score Female .222 8 .200 * .939 8 .605 Male .298 4 . .852 4 .233 Week 10 score Female .189 8 .200 * .888 8 .225 Male .257 4 . .876 4 .323 Week 12 score Female .129 8 .200 * .945 8 .658

  6. Page 6
    Read page 6 as text

    BTM8107 - 8 - 6 5 Male .286 4 . .872 4 .304 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction In the boxplot below, we see that there is one outlier ( the circular point), which is participant 7, at the first level of the within - subjects factor ( females ) who had a particularly low score compared to the others at this time point.

11 more pages in the full document

Unlock it once and it stays in your library, ready to chat with or turn into flashcards.

Unlock the full document

More Statistics study materials

See all

Study this document with CramX

Once it is in your library, every tool can work from it.