BUSI 820 Week 8 Discussion Forum 8 Main Thread and Faith Integration Reply Example

Reviewed by Thomas Kerrigan, MBA, CPA · Liberty University · Updated

The final module of Liberty University BUSI 820 asks for two forum posts, and this BUSI 820 Week 8 sample provides both: the last ordinary thread, Forum 8, worth 15 points, and the 25-point reply for the Integration of Faith and Learning forum, closing the DBA quantitative methods course. The thread answers the turnover study's first research question with Morgan and colleagues' chapter 10 on analysis of variance. Across the 186 illustrative bank employees, intention to leave differed by work arrangement, F(2, 183) = 7.10, p = .001, eta squared = .07. Tukey post hoc tests show rotating staff scoring higher than both on-site and hybrid staff. The thread then reconciles that finding with the Forum 4 chi-square, which found no link between arrangement and actual departures. The reply answers a classmate on whether faith belongs in data analysis.

CourseBUSI 820 Quantitative Research Methods (BUSI820)
Module/Week8
AssignmentDiscussion Forum 8 Main Thread and Faith Integration Reply
Paper typeDoctoral discussion thread and reply
Lengthabout 507 words (thread and replies). Course guide: the course guide keeps the forum's word counts and rubric inside the course; this sample gives a Forum 8 main thread of about 310 words with an ANOVA table, plus a faith integration reply of about 210 words to a classmate
FormatAPA 7 citations and reference list
Points40
SchoolLiberty University Online
ProgramDBA
Where it sitsModule/Week 8 in Liberty's published BUSI 820 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for BUSI 820 Week 8

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Discussion Forum 8: Main Thread and Integration of Faith and Learning Reply

BUSI 820 Quantitative Research Methods, Discussion Forum 8 Main Thread and Integration of Faith and Learning Reply

Thread by [Student Name]

The data set is illustrative, generated for this page with a fixed random seed and analyzed with the statistics SPSS reports for a one-way ANOVA with Tukey post hoc tests; the bank, the classmate and the prompt are composites standing in for the course's own; the books and the published research are real; the week, points and readings follow Liberty's public course guide for BUSI 820.

Why this part earns its pointsThe thread reports the overall test and the post hoc comparisons in sequence, because the F test alone cannot say which groups differ.
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Forum 8 returns to the study's opening question, whether on-site, hybrid and rotating staff report different levels of intention to leave. One three-category grouping factor and one summated outcome send the selection tables in Morgan et al. (2020) to a one-way analysis of variance. In the illustrative data, on-site staff (n = 115) averaged 13.41 (SD = 4.03), hybrid staff (n = 44) 12.18 (SD = 3.90) and rotating staff (n = 27) 15.85 (SD = 3.98). Levene's test was not significant, F(2, 183) = 0.30, p = .74, so the assumption of equal variances holds despite the unequal group sizes.

SourceSum of squaresdfMean squareFp
Between groups226.622113.317.10.001
Within groups2,919.7418315.95
Total3,146.36185

The ANOVA was significant, F(2, 183) = 7.10, p = .001, and eta squared was .07, so about 7 percent of the spread in scores lines up with how people are scheduled, a medium effect by common guidelines. Tukey post hoc tests showed that rotating staff scored higher than on-site staff by 2.44 points (p = .013) and higher than hybrid staff by 3.67 points (p = .001), while on-site and hybrid staff did not differ significantly (p = .196). The problem is not hybrid work, which leaders feared, but the staff who rotate among branches without a home team.

This result seems to conflict with Forum 4, where actual departures did not differ by arrangement. The two findings measure different things. Intention to leave is an attitude reported now, while departure is behavior over a year, shaped by the job market, family needs and chance; with only 27 rotating staff, a real difference in departures could also be too small to detect. The practical reading is that rotating staff are the group most at risk, and that assigning each of them a home branch and a consistent supervisor is a low-cost step worth testing.

Reply to Jonathan (Integration of Faith and Learning)

Why this part earns its pointsThe faith reply concedes what is right in the classmate's argument before showing where faith does change an analytic choice.
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Jonathan, your integration thread argued that faith should shape why we do research and how we treat participants, but should stay out of the analysis itself, since a t test gives the same answer whatever the analyst believes. I agree with the second half of that claim; the arithmetic of an F ratio is the same for everyone. My disagreement concerns everything around the arithmetic. Simmons et al. (2011) showed that decisions about when to stop collecting data, which cases to exclude and which variables to control can turn a null effect into a significant one, and none of those decisions is dictated by the formulas. Keller and Alsdorf (2012) describe the gospel as giving workers a new compass, an ethic that reaches ordinary decisions rather than only dramatic ones. In my own Forum 8 analysis, I could have dropped two rotating employees with very low scores as outliers, which would have made the rotating group look even worse. My rule, set in advance, was to keep every case within the scale's range. That is faith shaping analysis: not changing the math, but governing the choices made before and around it. Would you agree that pre-registering those decisions is one way a Christian analyst can live out the integrity you described?

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References

Keller, T., & Alsdorf, K. L. (2012). Every good endeavor: Connecting your work to God's work. Dutton.

Morgan, G. A., Barrett, K. C., Leech, N. L., & Gloeckner, G. W. (2020). IBM SPSS for introductory statistics: Use and interpretation (6th ed.). Routledge.

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359-1366. https://doi.org/10.1177/0956797611417632

What the BUSI 820 Week 8 instructions ask

The last week closes on Friday and repeats chapter 10. Its schedule lists a Forum 8 thread, a Forum 7 reply, the 25-point faith integration reply and one more 95-point assignment, printed again as Assignment 7. Leaving that textbook exercise aside, the page samples the Forum 8 thread and the faith reply. Chapter 10 extends the comparison of groups from two to several, introducing one-way analysis of variance, its assumptions and the post hoc tests that show which groups differ. Chapter 10 moves from two groups to three or more, adding the F test, its assumptions and the post hoc comparisons that say which groups differ, so a thread that stops at a significant F leaves the most useful part of the analysis undone.

How this BUSI 820 Week 8 example is built

The thread restates the question, whether intention to leave differs among on-site, hybrid and rotating staff, and explains why a one-way ANOVA fits. It reports descriptive statistics for each group and Levene's test, then gives an ANOVA table with sums of squares, degrees of freedom, F and p, and computes eta squared. Tukey post hoc comparisons show rotating staff with higher intention to leave than on-site and hybrid staff, while on-site and hybrid staff do not differ. The thread then compares this result with Forum 4, where actual departures did not differ by arrangement, and discusses intention versus behavior. In the faith reply, a classmate's view that belief has no place inside the analysis is answered.

BUSI 820 Week 8 grading rubric: where the points go

The Forum 8 thread is judged on correct use of one-way ANOVA: the reason for the test, a check of homogeneity of variance, full reporting of the F test, eta squared and post hoc tests that identify which groups differ. Strong threads interpret results in the units of the scale and connect them to earlier findings. Worth more than the thread, the faith reply earns its points by meeting the classmate's argument head on, with charity, using Keller and, where useful, research on research practice. Accuracy and APA-style statistics are expected throughout. The rubric inside the course sets the remaining requirements.

BUSI 820 Week 8 help: mistakes that cost points

ANOVA threads should move from the overall test to the specific comparisons, because a significant F says only that at least one group differs. Report each group's mean and standard deviation, Levene's test, the F ratio with between-groups and within-groups degrees of freedom, p and eta squared, then the post hoc results with their p values. Explain what the differences mean in points on the scale. When results seem to conflict with earlier analyses, as intention and actual departures do here, explain why rather than ignoring the conflict. For the faith reply, take the classmate's argument seriously, concede what is right in it and offer a specific example where faith would change an analytic choice.

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What is due in BUSI 820 Module/Week 8?

Four items close the course: the Forum 8 thread, a Forum 7 reply, the 25-point faith reply and the final weekly assignment, with the week ending on Friday.

Where can I find a free BUSI 820 Week 8 sample paper?

This page presents a complete BUSI 820 Week 8 one-way ANOVA thread on intention to leave by work arrangement, plus a faith integration reply to a classmate.

How do you report a one-way ANOVA in APA style?

State the F ratio with its two degrees of freedom, then p, then the share of variance explained, as in F(2, 183) = 7.10, p = .001, eta squared = .07, followed by post hoc results.

Why run post hoc tests after ANOVA?

A significant F shows only that the group means are not all equal; post hoc tests such as Tukey's HSD name the specific pairs that differ, keeping the familywise chance of a false alarm at the chosen level.

What is eta squared?

The proportion of total variance in the dependent variable explained by group membership; about .01 is small, .06 medium and .14 large by common guidelines.

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