Any topic on social change

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Any topic on social change

The purpose of this Major Assignment is to immerse you in the qualitative research process. The process includes hands-on opportunities for you to collect, organize, analyze, and interpret qualitative data. This qualitative research process begins with some items that have already been identified for you:

  1. The research topic for this effort is the meaning of social change for Walden graduate students. You have been examining videos and reading about social change as part of the course study.
  2. The knowledge you have gained plus your reflections on the meaning of social change will form the beginning of the inquiry. That is, the research question you will explore is “What is the meaning of social change for Walden graduate students?”
  3. The description of your efforts of gathering, organizing, and analyzing data will form the basis of your methods section. And, the results of those efforts—the analysis and interpretation of those data—will be summarized.

This Major Assignment 2 is composed of four parts, each of which will be completed over four weeks. These parts include: Part 1: Introduction; Part 2, Role of the Researcher; Part 3: Results; and Part 4: Summary.

For this week’s Major Assignment 2, you will complete Part 1. In this Part 1, you will begin to examine social change from a Walden graduate student perspective, explore positive social change as a research problem, and explore the gap in research.

PART 1: INTRODUCTION

  1. Write a background statement of approximately 1–2 pages that includes:
    1. What you have learned about social change as a social issue.
    2. What you have learned about social change as a research problem. Support your insights with academic citations from the Learning Resources.
    3. Describe the gap that your study will address.
  2. From the gap, create a brief purpose statement that is aligned with the following research question:

What is the meaning of social change for Walden graduate students?

No Assignment submission for this week.

Submit Parts 1, 2 (completed in Week 6), 3 (completed in Weeks 7–9), and 4 (completed in Week 10) of your Major Assignment 2 by Day 7 of Week 10.

THE IBM SPSS Software IS NEEDED FOR THIS!!! For this Assignment, you will examine statistical significance and meaningfulness based on sample statements. To prepare for this Assignment: • • Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment. For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane. For this Assignment: Critically evaluate the two scenarios you selected based upon the following points: • • • • Critically evaluate the sample size. Critically evaluate the statements for meaningfulness. Critically evaluate the statements for statistical significance. Based on your evaluation, provide an explanation of the implications for social change. Use proper APA format and citations, and referencing. Week 5 Scenarios 1. The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p =.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments. The samples consisted of students in four face-to-face classes at a traditional state university (n = 65) and four online classes offered at the same university (n = 69). Students reported their level of satisfaction on a fivepoint scale, with higher values indicating higher levels of satisfaction. Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p = .074, wherein students in the face-to-face class reported lower levels of satisfaction (M = 3.39, SD = 1.8) than did those in the online sections (M = 3.89, SD = 1.4). We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction. The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners. 2. A results report that does not find any effect and also has small sample size (possibly no effect detected due to lack of power). A one-way analysis of variance was used to test whether a relationship exists between educational attainment and race. The dependent variable of education was measured as number of years of education completed. The race factor had three attributes of European American (n = 36), African American (n = 23) and Hispanic (n = 18). Descriptive statistics indicate that on average, European Americans have higher levels of education (M = 16.4, SD = 4.6), with African Americans slightly trailing (M = 15.5, SD = 6.8) and Hispanics having on average lower levels of educational attainment (M = 13.3, SD = 6.1). The ANOVA was not significant F (2,74) = 1.789, p = .175, indicating there are no differences in educational attainment across these three races in the population. The results of this study are significant because they shed light on the current social conversation about inequality. 3. Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful? An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private, and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The © 2016 Laureate Education, Inc. Page 1 of 2 cultural competency score ranges from 0 to 10, with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD = 2.1). The results were significant t (1311) = 2.0, p

 

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