BUSI 820 Week 1 Discussion Forum 1 Main Thread Example

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

This BUSI 820 Week 1 sample is the main thread for Discussion Forum 1 of Liberty University BUSI 820, the quantitative research methods course of the DBA, a 15-point post read with Morgan and colleagues' first two chapters of IBM SPSS for Introductory Statistics and the opening part of Keller's Every Good Endeavor. The composite prompt asks students to turn a problem from their own workplace into variables, levels of measurement and research questions. The thread does so for teller and personal banker turnover across 22 branches of a regional bank. It names the independent and dependent variables, classifies each as nominal, ordinal or scale, and writes one difference question and one associational question in Morgan and colleagues' framework. Keller's account of work's dignity closes the thread with a caution about treating people as data points.

CourseBUSI 820 Quantitative Research Methods (BUSI820)
Module/Week1
AssignmentDiscussion Forum 1 Main Thread
Paper typeDoctoral discussion thread
Lengthabout 467 words (thread and replies). Course guide: the course guide keeps the thread's word count and rubric inside the course; this sample is a main thread of about 470 words with current APA citations; the reply to classmates is due in Module/Week 2
FormatAPA 7 citations and reference list
Points15
SchoolLiberty University Online
ProgramDBA
Where it sitsModule/Week 1 in Liberty's published BUSI 820 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for BUSI 820 Week 1

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Discussion Forum 1: Main Thread

BUSI 820 Quantitative Research Methods, Discussion Forum 1 Main Thread

Thread by [Student Name]

The prompt, the banks and their figures 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, which keeps each forum's detailed instructions inside the course.

Why this part earns its pointsThe thread starts with the business problem and its cost, so the variables that follow come from a decision someone needs to make.
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Our regional bank operates 22 branches, and last year 41 percent of our tellers and personal bankers left. By the HR department's reckoning, replacing one of them runs near $9,000 once hiring, the six-week training class and the slow first months are added up, so the bank spends well over half a million dollars a year refilling the same seats. Leaders have competing explanations: some blame the hybrid schedules introduced for personal bankers, others blame understaffed small branches, and others point to supervisors. Morgan et al. (2020) begin with the research problem and then ask the researcher to identify variables, their values and their levels of measurement, which is a useful discipline for sorting out these explanations.

The dependent variable is intention to leave, measured by a five-item scale on which employees rate statements such as "I often think about leaving this bank" on a five-point agreement scale. Summing the items produces a score from 5 to 25. Morgan et al. (2020) note that individual Likert items are ordinal, but that summated scales with several items and an approximately normal distribution can be treated as scale data, so I will treat the total as a scale variable, after checking its distribution.

There are three independent variables. Work arrangement is nominal, with three unordered categories: fully on site, hybrid and rotating between branches. Branch size, measured as full-time-equivalent employees, is a scale variable. Supervisor support, measured by a six-item summated scale, is treated as scale data on the same reasoning as intention to leave. Tenure in months will be recorded as a possible control.

Morgan and colleagues distinguish difference questions, which compare groups, from associational questions, which relate variables. Two questions follow from the problem. The first is a basic difference question: Is there a difference in intention to leave among employees in the three work arrangements? With one nominal independent variable of three levels and a scale dependent variable, a one-way analysis of variance would be the likely statistic. The second is a basic associational question: Is there an association between perceived supervisor support and intention to leave? With two scale variables, a Pearson correlation would be appropriate if the assumptions hold. A later complex associational question could combine all three independent variables in a multiple regression.

Why this part earns its pointsThe closing paragraph turns Keller's claim about dignity into two concrete protections for respondents, which is what keeps faith integration from being decorative.
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Keller and Alsdorf (2012) open their book by arguing that work is part of God's design for human life and carries dignity because people bear God's image. A turnover study reduces each teller to a row of numbers, and the researcher has to remember that every row is a person whose work matters. In practice, that means protecting respondents' anonymity, so that no supervisor can identify who reported wanting to leave, and reporting results in a way that leads to better treatment of employees rather than more surveillance of them.

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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.

What the BUSI 820 Week 1 instructions ask

Module/Week 1 of BUSI 820 combines Morgan and colleagues' chapters 1 and 2 and Appendices A and B with the chapter outlines, Keller's introduction and Part I, the 10-point Course Requirements Checklist, the 15-point main thread for Discussion Forum 1 and Assignment 1, worth 95 points. The course has nine forums and eight assignments, none of which has its instructions or scoring printed in Liberty's public guide. Assignment 1 and the weekly assignments that follow work through the SPSS book's own exercises and data, so this sample takes the forum instead. The opening chapters cover variables, research problems and questions, and how data are coded and entered, which makes a first thread on framing one's own problem quantitatively a natural fit.

How this BUSI 820 Week 1 example is built

The thread opens with the problem in numbers: 22 branches, annual turnover of 41 percent among tellers and personal bankers, and a cost the bank estimates at about $9,000 per departure. It identifies the dependent variable, intention to leave measured on a five-item scale, and three independent variables: work arrangement, with three nominal categories; branch size, a scale variable; and supervisor support, a summated rating scale. Each is classified by level of measurement, with a note on why summated Likert scales are usually treated as scale data. Two research questions follow, one comparing groups and one relating variables, each matched to the statistic Morgan and colleagues would suggest. The thread ends with Keller's caution about dignity.

BUSI 820 Week 1 grading rubric: where the points go

A first quantitative forum is judged on whether the student can translate a practical problem into the language of research accurately. Readers look for variables correctly identified as independent or dependent, levels of measurement assigned with reasons, research questions phrased in Morgan and colleagues' categories and a sensible link between each question and the analysis it implies. Because the thread is short and worth 15 points, precision counts more than length. Faith integration is welcome when it shapes how the research is framed, for instance how participants are treated, rather than added as decoration. The forum's specific rubric and word limits are found inside the course content.

BUSI 820 Week 1 help: mistakes that cost points

Students new to quantitative methods often confuse a variable with its values, or label every Likert item as ordinal without considering summated scales. Name each variable as a characteristic that varies, list its values, and state its level of measurement and why. Write research questions with the variables in them, and say whether each asks about differences between groups or associations among variables, because that choice determines the statistic. Keep the problem small enough to study; a first thread is not a dissertation proposal. If you integrate Keller, connect him to a decision in the study, such as how to protect respondents. Finish early so you can read classmates' threads before replying next week.

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BUSI 820 Week 1 questions, answered

What is the BUSI 820 Discussion Forum 1 Main Thread?

The 15-point opening post of the course, due in Module/Week 1 with Morgan and colleagues' chapters 1 and 2 and Keller's introduction and Part I; replies follow in Module/Week 2.

Where can I find a free BUSI 820 Week 1 sample paper?

This page offers a complete BUSI 820 Week 1 main thread that turns bank teller turnover into variables, levels of measurement and two research questions.

What are levels of measurement in SPSS?

Morgan and colleagues use nominal for unordered categories, ordinal for ordered categories without equal intervals, and scale for data with roughly equal intervals, including normally distributed summated rating scales.

What kinds of research questions does Morgan's SPSS text describe?

Descriptive questions summarize variables, while difference questions compare groups and associational questions relate variables; each can be basic, with one independent variable, or complex, with more.

Why does BUSI 820 sample the forums rather than the weekly assignments?

The 95-point weekly assignments work through the SPSS textbook's own problems and data sets, which are not public, so the samples cover the forums instead.

Use it as a model, or ask for your own

This paper is an original model written by our desk for study. It is not a submitted student paper and not an official Liberty University document. Read it for structure and reasoning, then write your own to the instructions in your Canvas course. If you want a version built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.