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TASK: Write an APA-style Results section that details the statistical results of your lab project analysis and interprets the meaning of these results. You will
TASK: Write an APA-style Results section that details the statistical results of your lab project analysis and interprets the meaning of these results. You will be graded on how completely you address the following:
- Section is in paragraph form with appropriate APA-style heading.*
- Section is no less than 250 words.
- Describe the type of analysis used and the variables used in the analysis.
- Include a statistical statement in current APA format based on your results.
- State whether or not the results are significant, and the resulting decision about the null hypothesis of your study (reject/fail to reject).
- Describe the strengths and weaknesses of the statistical test that was used. Be sure to cite the textbook or other sources you use to provide this information. For example, This type of test is described as helpful (Gravetter, Wallnau, & Forzano, 2018).
- Explain any characteristics of your sample and data collection method that should be taken into consideration by readers when interpreting these results. These can include such elements as sample size, survey format, issues related to online or in-person survey methods, demographics (if you know them), and so on.
- Based on the above, state the degree to which your results are generalizable.
- Communicate clearly with attention to grammar and syntax.
- Include an APA-style Reference section at the end of your submission
- Survey questions are stated as follows in SPSS: 15 total surveys
- All items on the survey will be scored from 1 to 5 except for item 10. You will enter the scores for each survey in rows (survey 1 in row 1, survey 2 in row 2, etc.), under the appropriate question column (Question 1 in column 1, etc.). If you have 10 surveys, you will have 10 cases (rows), if you have 25 surveys, 25 cases (rows), etc.
- Scores for items 1, 2, 3, 5, 7, 8, and 9 are as follows:
-
Strongly agree = 5
Agree = 4
Neither agree nor disagree = 3
Disagree = 2
Strongly disagree = 1
Items 4 and 6 must be reverse-scored. This is because, in opposition to the other items, these items indicate a fundamentally different worldview than the Christian worldview, so the scoring must be reversed; this allows higher scores on all items to reflect an understanding of Christian doctrine, while lower scores indicate - misunderstanding or disagreement. This is a method commonly used in survey research. Therefore, scores for items 4 and 6 are as follows:
-
Strongly agree = 1
Agree = 2
Neither agree nor disagree = 3
Disagree = 4
Strongly disagree = 5
- For question 10 (church attendance), you will simply enter the exact number that the respondent filled in on the survey (for example, 10, 52, etc.) under the appropriate variable in the SPSS data file.
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