Data Set 3 Week 5

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1 Research Methods Identification Data Set #3 Julia L. Phillips College of Arts and Sciences, Regent University PSYC 321 Data Analysis (04)/23FA Heinz Bartnick, MSOP, SHRM-CP, CPHQ November 26, 2023

2 Dataset Assignment for Week #5: Homeschool Data It is hypothesized that absolute truth among the varying religious affiliations, non-religious, protestant, or catholic, is not absolute. I would expect to find a lower rating for absolute truth for non-religious affiliates. I would expect to find the data for this group to be the lowest of all three. I hypothesized that the ratings from the protestant and catholic groups were also low but higher than those from the non-religious group. I would expect that Christian schools will have a higher love average because of their traditional Christian doctrine. Due to the individualized attention and demographic, the home school would be expected to rate next. The public school exhibits the lowest. This would be due to the valuation of classroom size and the student-to-educator ratio. Therefore, the ratings of behavior for the differing instruction types will vary. 1. Religious affiliation (as non-religious, protestant, or catholic) and ratings of absolute truth (is truth relative or absolute?). Please provide me with your hypothesis. In running this statistic, what do you expect to find? Start this with “It is hypothesized that...” (See Table A) In the first data set, I established a one-way ANOVA test to measure the average rating of truth as absolute or relative between non-religious, protestant, and Catholic affiliates. The mean for non-religious affiliates is . 46 (sd = .372). The mean for the protestant affiliate was .64 (sd=.309). Completing the analysis, the mean of the catholic affiliate was .43

3 (sd=.358). The differences among the means are statistically significant at the .05 level ( F [2, 130] = 3.996, p = .021). 2. Instruction (public school, home school, private school, or Christian school) and ratings of love attitude (the importance of loving others). Please provide me with your hypothesis. In running this statistic, what do you expect to find? Start this with “It is hypothesized that...” (See Table B) In the second data set, I conducted or examined a one-way ANOVA test to measure the average rating of love attitude between public school, home school, and Christian school instruction types. The results are as follows: the public school mean was 2.30 ( sd =.485). The home school mean was 2.13 ( sd = . 455). The mean for private schools was 1.94 ( sd = . 241). The mean for Christian schools was 2.04 ( sd = .397). The probability shows that the null hypothesis is rejected at the .05 level. The differences among the means are statistically significant at the .05 level ( F [3, 133] = 3.147, p = .027). 3. Instruction (public school, home school, private school, or Christian school) and ratings of behavior (number of positive behaviors being reported by the participant). Please provide me with your hypothesis. In running this statistic, what do you expect to find? Start this with “It is hypothesized that...” (See Table C) The last data set I conducted was a one-way ANOVA test that measured the average rating of positive behavior for public school, home school, private school, and Christian school instruction types. The Public schools have a mean average of 2.69 ( sd =.556). The mean for home school was 2.60 ( sd =.588). The mean for private schools was

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4 2.49 ( sd =.393). The Christian school mean was 2.52 ( sd =.418). The probability shows that the null hypothesis is not rejected at the .05 level; therefore, the differences among the means are not statistically significant at the .05 level ( F [3,133] = .871, p =.458). Table A

5 Table B

6 Table C

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7 The tests or data set results were taken to compare the average rating of truth for different religious educational type facilities. The different religious facilities' average rating of truth was shown to vary, proving my hypothesis that truth is not absolute. The difference between the means was statistically significant at the .05 level. The test also measured the average love attitude between the different institutional types, indicating much variation between the different types. I was indeed surprised to see that the public school had the highest rating of love attitude, proving my hypothesis wrong; however, it did support my expectation for private schools, which rated the lowest. Again, the difference between the means was statistically significant at the .05 level. The final test compared the average rating of positive behavior among different educational facility types, which did vary

8 greatly. Although the public school rating was the highest in behavior average, as expected, the difference between the means was not statistically significant at the .05 level.

9 References Holcomb, Z. C. (2017). Variables in SPSS Statistics. In SPSS basics: Techniques for a first course in statistics (p.164). essay, Pyrczak Pub. Steinberg, W. J., & Price, M. (2021). Math Review. In Statistics Alive! Essay, SAGE Publications, Inc.

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