MKB2705 Research Methods and Analysis
The Complete Study & Assessment Guide · S2 2026MKB2705 Overview
- Monash University
- 2026 offering
- Undergraduate
- 100% continuous assessment
- SPSS research report
MKB2705 Research Methods and Analysis follows one evidence chain from a management decision to a defensible recommendation. Business research is systematic because the path from question to evidence is planned, and objective because assumptions, competing explanations and disconfirming evidence remain visible.
- One evidence chain Decision, question, measure, sample, analysis and recommendation stay traceable.
- Live Moodle wins Especially the 15-minute, 24-question, laptop-only class test.
- Bound the claim Association is not causation; current participants are not every customer.
- Preserve raw data Cleaning and SPSS outputs must be reproducible.
- Conflict stays open Confirm the reflection late-rate conflict in the current task.
What MKB2705 covers
MKB2705 follows the business research process from a management problem and research question through design, survey measurement, questionnaire construction, sampling, data preparation, descriptive analysis, hypothesis testing, chi-square, t-tests, correlation, reporting and reflection. The current assessment map contains seven components totalling 100%, and current Moodle task pages control operational requirements.
The Business Research Process
Business research, problem identification and solving, descriptive/diagnostic/predictive roles, six stages, value, suppliers, stakeholders and ethics · current Week 1 teaching02Decision Problems and Research Questions
Management decision problems, marketing research problems, objectives, research questions, hypotheses and information requirements · Week 103Research Design and Evidence Choices
Exploratory, descriptive and causal designs; cross-sectional and longitudinal evidence; primary, secondary and mixed evidence · Week 3 standard canon04Survey, Observation and Measurement
Constructs, operationalisation, scale types, reliability, validity, survey modes, observation and response error · Week 4 standard canon05Questionnaire and Form Design
Form flow, wording, response options, routing, pretesting, deployment and five-minute questionnaire control · Week 5 standard canon06Sampling Design and Total Survey Error
Populations and frames, probability and nonprobability sampling, precision, weighting, nonresponse and total survey error · Week 6 standard canon07Data Collection, Coding and SPSS Preparation
Raw-data preservation, codebooks, row units, cleaning, derived variables, reproducible SPSS syntax and reconciliation · Week 7 standard canon08Descriptive Data Analysis
Valid bases, categorical distributions, centre, spread, standardisation, cross-tabs and honest visualisation · Week 8 standard canon09Hypothesis Testing Logic
Null models, p-values, Type I and II errors, confidence intervals, assumptions and multiplicity · Week 9 standard canon10Chi-Square, t-Tests and Correlation
Method selection, categorical association, independent and paired means, correlation, effect sizes and SPSS workflows · Week 10 standard canon11Research Report Preparation
Introduction, method, results, discussion, limitations, recommendations and report traceability · current report brief and Week 11 canon12Integrated Survey Project
Evidence map, assumption register, versioning, field control, analysis integration, governance and project closure · Week 12 synthesis13Continuous Assessment System
Seven components totalling 100%, live class-test facts, task-specific AI rules, report-date boundary and unresolved reflection late-rate conflict14Proposal, Report and Reflection Playbooks
Questionnaire, data, SPSS, class-test, AI, submission and receipt playbooks for the current 2026 offeringA technically competent survey still fails if it answers the wrong decision or reaches the decision-maker too late.
The first move is translation. A management symptom such as falling renewal, an unexplained complaint pattern or a weak campaign must become a research problem, then a question whose population, variables and comparison can be observed. Research objectives define the work to be completed.
Hypotheses make predicted relationships testable. Keeping those layers separate prevents a broad concern from turning into a vague questionnaire.
Design choice follows the uncertainty. Exploratory work clarifies an ill-formed problem; descriptive work estimates characteristics or patterns; causal work tests whether a change produces an effect under defensible conditions.
Cross-sectional and longitudinal evidence answer different time questions. Primary and secondary sources impose different control, cost and provenance requirements. The guide uses standard research-methods canon aligned to the unit sequence for these choices.
Measurement connects an abstract construct to observable responses or behaviour.
A strong design defines the construct, chooses a scale, checks reliability and validity, and records what each variable can support analytically. Questionnaire wording, response options, routing and order are part of that measurement system. Pretesting is a diagnosis of interpretation and flow, not a final proofreading pass.
Sampling determines whose evidence can support which claim.
Define the target population, sampling frame, unit and selection method before discussing sample size. Separate sampling error from coverage, nonresponse and measurement error. A larger dataset does not repair a biased frame.
The analysis file then needs a codebook, explicit missing-value rules, range and logic checks, and reproducible SPSS transformations.
Descriptive statistics establish the base, distribution, centre, spread and unusual observations before inference begins. Hypothesis tests add a model of sampling uncertainty; they do not replace effect size, confidence interval, assumptions or managerial relevance.
Chi-square addresses association between categorical variables, t-tests compare means under the selected design, and correlation summarises linear association without proving causation.
The research report should preserve the chain from decision to evidence. Methods explain what was done and why. Results report the analysis without hiding inconvenient observations.
Discussion connects findings to the question, limitations and alternative explanations. Recommendations identify an actor, action and evidence boundary.
Reflection then evaluates how research judgement changed, using specific decisions and feedback rather than a diary of activities.
The current assessment map lists seven components totalling 100%: weekly mini-quizzes 10%, weekly mini-tasks 10%, engagement 10%, proposal 20%, class test 10%, report 30% and reflection 10%. Weekly practice feeds the proposal, test, report and reflection.
Current Moodle task pages control dates, files, allowed tools and pass conditions, so reopen them before acting on any operational detail.
For the class test, the current live task states that students sit it in their allocated Tuesday or Wednesday workshop, have 15 minutes for 24 equal-worth questions, use a laptop and enter through Safe Exam Browser. This live task overrides older conflicting paperwork.
For the reflection, captured instructions conflict on the daily late-penalty rate: confirm the active reflection task rather than choosing between the two rates.
Use this guide as a method tutor and quality-control system. Work every example with a fresh scenario, keep a claim-and-evidence ledger, and retain the decisions that connect item, variable, analysis and recommendation.
Do not copy practice language into assessed work. Verify live requirements, use your own data and reasoning, and make every analytical claim no stronger than its design and evidence allow.
How MKB2705 is assessed
| Component | Weight | Format |
|---|---|---|
| Weekly mini-quizzes | 10% | Weeks 2-11, Monday 11:55; best 8 of 10 raw scores averaged; 5-15 equal-worth questions; Week 2 two hours, later quizzes one hour; AI should not be used. |
| Weekly mini-tasks | 10% | Weeks 2-11, Thursday 11:55; best 8 of 10; about 150 words; individual PDF; limited AI guidance under the current brief, no generated written response or copy-paste, declaration required. |
| Engagement | 10% | Weeks 2-11; tutor-recorded contribution through discussion, presentation, lead roles, forums, surveys and peer feedback. |
| Proposal | 20% | Thursday 3 September 2026 at 11:55; 1,800 words plus or minus 10%; questionnaire no more than five minutes and generally no more than fifteen questions. |
| Class test | 10% | Current live Moodle: allocated Tuesday or Wednesday workshop only; 15 minutes; 24 equal-worth questions; all attempted; laptop only; Safe Exam Browser. Stale PDF conflicts are superseded. |
| Research report | 30% | Week 12 Thursday 11:55; 2,200 words excluding references and appendix; SPSS. The brief does not print a calendar date: confirm Moodle. |
| Reflection | 10% | Friday 23 October 2026 at 11:55; 1,000 words excluding appendices. Late-rate conflict unresolved: reflection says 10% per day, other briefs say 5%; confirm current task. |
AskSia-authored practice weighting (not an official mark scheme): Choosing a bounded analysis and recommendation
- +1Name the observed results precisely: group difference in perceived access and correlation with stated renewal intention among valid participating current members.
- +1Keep the design boundary: cross-sectional self-report and voluntary participation do not establish a staffing effect, actual renewal or all-member representation.
- +1Translate magnitude and uncertainty using the group difference, interval, valid bases and correlation rather than p-value labels alone.
- +1Recommend a staged evening-assistance pilot with implementation, access and behavioural outcomes plus baseline/comparison and a review threshold.
Key terms
- Management decision problem
- The action management must choose, distinct from the information problem research can answer.
- Research design
- The architecture connecting question, source, measurement, sample, procedure, analysis and claim.
- Total survey error
- Coverage, sampling, nonresponse, measurement, processing and adjustment errors considered together.
- P-value
- Compatibility of data with a null model under assumptions, not the probability the null is true.
- Association-strength V
- A scaled strength measure for categorical association that accompanies counts and percentages.
- Traceability
- The ability to walk from recommendation backward to evidence and from a raw variable forward to its claim.
MKB2705 FAQ
Is MKB2705 hard?
MKB2705 is demanding because every design decision connects to later measurement, sampling, SPSS analysis and reporting. Build one evidence map, practise method selection with original examples and use weekly feedback to repair the survey project.
How is MKB2705 assessed?
Seven listed components total 100%: mini-quizzes 10%, mini-tasks 10%, engagement 10%, proposal 20%, class test 10%, report 30% and reflection 10%. Confirm every current task fact and pass condition on Moodle.
What are the MKB2705 class-test conditions?
Current live Moodle states allocated Tuesday or Wednesday workshop only, 15 minutes, 24 equal-worth questions, all attempted, laptop only and Safe Exam Browser. An older PDF conflicts with these details. The current task page controls permitted materials and AI use.
What is the reflection late penalty?
The captured reflection brief says 10% per day and not marked after seven days, while other current briefs say 5% per day and not marked after seven days. The rate is unresolved: confirm the current reflection Moodle task.
How should I check MKB2705 pass conditions?
The current Moodle task pages control pass requirements. Reopen them before relying on any pass-condition assumption or an older course document.
Can AI help with MKB2705?
Use AI only within each current task rule. Quizzes say AI should not be used. Captured mini-task, proposal, report and reflection briefs allow limited support categories, prohibit generated written response and copy-paste and require declaration. The class-test rule was not captured. Author and verify all assessed work yourself.
How to prepare for the assessments
Treat MKB2705 as one survey project supported by weekly retrieval and application. Keep a decision-to-evidence map that links each research question to construct, item, eligible base, variable, analysis and claim boundary. Use the mini-quizzes to diagnose concepts, the mini-tasks to practise one research move, and engagement to test decisions with feedback.
Freeze the proposal logic before collection, pretest the five-minute questionnaire, preserve raw data, prepare the SPSS file reproducibly and write the report from final outputs rather than from a preferred story. For the class test, prepare to current live conditions and practise rapid method distinctions with original scenarios.
For reflection, keep a learning log of decisions, evidence, revisions and transferable future controls. Confirm all current dates, AI rules, file requirements and the unresolved reflection late rate on Moodle.
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