What This Material Does Not Teach
A candid handover note. Across six weeks of the supplied teaching source, fourteen learning objectives are stated and not one is fully delivered. Here is what you get, what you do not, and which absences belong to the files rather than to the subject.
Why a page like this exists
A knowledge library that only reports what a source contains is quietly dishonest, because a reader cannot tell the difference between a topic the source covered well and a topic it named once and abandoned. Both look the same on the page. You would build a research design on the second one and discover the problem at the point where it costs you the most — after you have collected data you cannot analyse, or committed to a method you cannot justify.
So this page states the shortfalls plainly. It is not a review of the teaching and it is not a complaint. It is the note you would want from a colleague handing over a body of material: here is what this gives you, here is what it does not, and here is what you must go and get elsewhere before you rely on it.
The objective audit
Each week states its learning objectives on its opening slides. Those statements are the source's own commitment, so they are the fairest standard to assess it against — not an external syllabus, not a comparison with another course. The question asked here is only this: could a reader who worked through the week do the thing the week said they would be able to do?
OBJECTIVE DELIVERY BY WEEK
| Week | Stated | Delivered | Partly | Not delivered |
|---|---|---|---|---|
| Research design | 3 | 0 | 1 | 2 |
| The nature of quantitative research | 3 | 0 | 1 | 2 |
| The nature of qualitative research | 2 | 0 | 0 | 2 |
| Gathering your data | 1 | 0 | 0 | 1 |
| Quantitative analysis and presentation | 3 | 0 | 1 | 2 |
| Analysing qualitative data and results | 2 | 0 | 1 | 1 |
| Total | 14 | 0 | 4 | 10 |
Assessed against each week's own stated objectives, quoted from its opening slides. Updated when two further weeks were supplied; the earlier four-week figure of nine objectives is superseded.
The pattern: a list of labels where a treatment was promised
Seven undelivered objectives across four weeks is not seven unrelated oversights. The same failure recurs, and recognising it is more useful than memorising the individual cases, because it tells you what to check for when you meet a new week of material.
In each case a set of things is named — correctly, and often comprehensively — and then nothing is said about any of them. The naming reads as coverage. It is not coverage, and the test that separates the two is simple: could you act on it?
THE SAME FAILURE, FOUR TIMES
| Objective promised | What is supplied | What is missing |
|---|---|---|
| Compare types of methods | A grid of ten method names | No comparison of any two on any dimension. The only comparison performed in the week is between the two paradigms, which is a comparison of approaches, not of methods. |
| Determine benefits and disadvantages of types | Three benefits and three issues, attached to triangulation | No benefit and no disadvantage for any of the ten methods or any of the seven methodologies. The one benefits-and-drawbacks structure in the week belongs to a mixed-methods rationale and is never linked back to the catalogue. |
| Design appropriate research tools | Five methods described — what each one is | No interview guide, schedule, protocol, question set, observation schedule, field-note format, coding frame or extraction template is shown or specified anywhere. Field notes are named four times and never defined. |
| Evaluate methods of data collection | Questionnaires and surveys in real detail | Sampling, observations and focus groups get roughly one sentence each. No two methods are ever compared on any criterion — so the objective's verb, evaluate, has nothing to operate on. |
Two objectives that appear to belong to a different week
The qualitative research week is the clearest case in the material of a mismatch between what was promised and what was delivered — and it is worth separating from the others, because it looks like a documentation error rather than a teaching shortfall.
Its two stated objectives are to design appropriate research tools and to evaluate types of variables. The week delivered is a conceptual survey of qualitative inquiry: what the approach is, what its practitioners believe, what it is good at and bad at, and how its quality is judged. The word variables occurs exactly once in the entire week, inside a quoted table, in the column describing quantitative research. No type of variable is named, defined, classified or exemplified.
The missing files, and why the distinction matters
Four files appear in the upload manifest and are not present on disk. They could not be read, and nothing in this library is based on them.
- A third submission document under the assignment 3 filename. Two were supplied; a third is listed and absent, so the assignment set is incomplete and it is unknown which task the third answered.
- A document titled "Gathering your data — Quantitative data analysis". Its title matches the naming pattern of the data-gathering week's notes, which suggests it was that week's missing counterpart.
- The quantitative analysis week's study notes, in one document format.
- The same study notes, in a second format.
WHAT WAS SUPPLIED, BY WEEK
| Week | Study notes | Slides |
|---|---|---|
| Research design | Yes — one file | Yes |
| The nature of qualitative research | Yes — two files, identical text | Yes |
| Gathering your data | Yes — two files, identical text | Yes |
| Quantitative analysis and presentation | None | Yes |
That distinction is applied consistently. Where a page says the supplied teaching source does not define a term, that statement is accurate and checkable. You will not find a page saying the subject never taught it, because nothing in the files supports that claim.
The quantitative week in particular
It is worth stating the quantitative position concretely, because it is the week where a reader is most likely to assume the material is sufficient and proceed on it.
QUANTITATIVE VOCABULARY: WHAT THE SLIDES DO AND DO NOT SUPPLY
| Category | Position |
|---|---|
| Terms defined | Around twenty-two, including the three measures of central tendency, descriptive and inferential statistics, frequency distribution, skew, distribution and parameter. |
| Terms used but never defined | At least twenty-one — none of them defined anywhere in the week. Standard deviation is used four times and defined nowhere. |
| Formulae | One — the histogram class rule. No other statistic is given a formula. |
| Statistics computed | None. No statistic is calculated anywhere in the week, on any data. |
| Measures of dispersion | None named. Range, variance, interquartile range and standard deviation do not appear as measures. |
| Inferential procedures | None named. No hypothesis test, no p-value, no confidence interval, no named test of any kind. |
The same shape recurs at Variation and Spread: spread is declared one of the key features of every distribution, and no measure of it is named anywhere in a week devoted to quantitative analysis.
What this material does well
A page of this kind is unfair if it stops at the shortfalls, and it would also mislead you about where to spend your time. Several parts of these four weeks are genuinely useful and are the reason the streams exist at all.
Worth your time
Questionnaire design and question wording
The most concrete, most actionable guidance anywhere in the supplied material. Nine design questions, six design points, question types, response formats and a set of named wording faults — enough to write a usable instrument and to review someone else's.
The six qualitative collection approaches
The fullest data collection treatment in the source. Each approach gets a definitional sentence and a set of implications, which is more than any of the ten catalogued methods receives.
Table construction rules
Seven rules across two slides plus a typology by number of variables. Concrete, applicable, and the best-delivered part of the quantitative week.
Qualitative strengths, limitations and validity criteria
The study notes give ten strengths, a limitations treatment, and a set of alternative quality criteria to replace validity and reliability. Enough to write a defensible methodology chapter.
The method selection questions
Nine questions and five dependencies for choosing a method. They give you a real procedure, even though the options the procedure selects between are not described.
Interview conduct
A substantial set of instructions on preparing for and conducting an interview — skills, obligations and the encounter itself. Weaker on recording and transcription, and no schedule is ever shown.
What to do about it
The absences are not evenly urgent. Some you can work around; some you must close before you collect data; one or two you can leave until write-up. This ordering is this library's judgement, not a statement from the source.
Triage
Two further notes on completeness
First, a sequencing gap that has since closed. The weeks supplied to this library originally ran 1 to 7, then 9, 10 and 11, with no week 8 material in any of the first five deliveries — while several items in later weeks referred back to concepts that would plausibly have sat there. That week has since been supplied in full, and it turned out to be the week that teaches sampling — which had been the library's largest recorded gap. It is treated in the quantitative research stream, and the consolidated audit is at the six-week objective audit. Nothing in this library speculated about its contents while it was absent, which is why nothing had to be retracted when it arrived.
Second, the assignments. No assignment brief document exists anywhere in the supplied material. Every brief the library reconstructs is inferred from weekly activity slides and is labelled as an inference. One assignment is specified once, on the last slide of a later week, after the weeks it covers have passed; the other is never specified at all — no composition, no length, no marking criteria, no weighting, no due date. That is worth knowing before you read Answering a Research Methods Assignment, which compares three real submissions against briefs that had to be reconstructed this way.
Two further weeks, and what changed
WHAT THE TWO LATER WEEKS CLOSED AND OPENED
| Closed | Still open | |
|---|---|---|
| The nature of quantitative research | Sampling — six types with usable distinctions, non-response bias, and the cost-and-error argument for sampling at all | No procedure for any of the six, no sampling frame, no size rule in the material's own voice, no criterion for choosing between them |
| Analysing qualitative data and results | The library's first complete worked analysis, and the only treatment of the results and discussion sections in the dataset | The interpretation rule is stated three incompatible ways; the reporting half is quantitative guidance filed under a qualitative week |
Both weeks also added four more undelivered objectives between them.
What to carry forward
- Nine objectives, none fully delivered, seven not delivered at all — and the failure is the same one four times over: a list of names standing in for a treatment.
- Ask what you could do with a list before you accept it as coverage. If the answer is only that you could repeat it, the topic was named and not taught.
- Four manifest files are missing and one whole week has no study notes. Its gaps belong to the supplied files, not demonstrably to the subject — and this library never blurs the two.
- The questionnaire, question-wording, qualitative-approaches and table-construction material is genuinely good. Spend your time there.
- Close the statistics gap before you collect quantitative data, not after. It is the one absence here that can invalidate work already done.
Frequently asked questions
Is this page criticising the teaching?
No. It assesses the supplied files against the objectives those files state, which is the only standard available. Where a document is missing, the page says so and declines to draw conclusions about what the missing document contained. Several parts of the material are identified as genuinely strong.
How can an objective be stated and not delivered?
Most often because a set of items is named without being described. An objective to compare methods is not met by a grid of method names, and an objective to evaluate collection techniques is not met by naming six and treating three of them in a sentence each. The naming looks like coverage until you try to act on it.
What is the difference between a gap in the files and a gap in the subject?
One week's study notes were listed in the manifest and are not on disk, so that week is represented by slides alone. Its definitional gaps are exactly what you would expect when the definitional document is missing. The library therefore records them as gaps in the supplied material and makes no claim about what was taught.
Which absence should I close first?
The statistical one, if your project involves quantitative data. You are given one rule expressed in a unit that is never defined, no measure of dispersion, and no inferential procedure. That gap can invalidate analysis you have already done, which none of the others can.
Does the library fill any of these gaps itself?
No. The commissioning standard is that missing information is named rather than invented, because a reader who knows they need a second source is better served than one given a plausible definition attributed to material that does not contain it. Where the library adds its own synthesis, it says so on the page.
Should I still use this material?
Yes, for what it does well — questionnaire and question design, the qualitative approaches and quality criteria, table construction, and the method selection procedure. Treat it as one input to a research design rather than a complete methods education, and pair it with a standard methods text for sampling, instrument design and statistics.
References and source attribution
- The supplied teaching source: weekly study notes, slide decks and assessment activities for a master's-level research methods subject in project management. Author, institution and year not stated in the supplied files.
- Three anonymised student submissions supplied with the teaching material, used as observed practice rather than as model answers.
Suggested questions for Ask KEVOS
- Which parts of this research methods material are strong enough to rely on without a second source?
- What do I need to learn elsewhere before I can analyse quantitative survey data?
- How do I tell whether a topic has been taught or only named?
- Which of the stated learning objectives were actually delivered, and which were not?
- Why does the library refuse to define standard deviation on the quantitative pages?
- What should I check before relying on a page in the data collection stream?