EDS6003 Chap.1 Educational Inquiry and Research Paradigms
Educational Inquiry and Research Paradigms
Inquiry as a connected design
Educational research begins with a question whose wording determines what evidence is relevant and what conclusion can follow. This chapter distinguishes qualitative evidence about meaning and process from quantitative evidence about amount, association and difference. It also shows why mixed methods requires a genuine integration point rather than the presence of two data types.
The practical discipline is to keep question, design, collection, analysis and claim aligned, then state the boundary of the inference before data collection begins.
What quality looks like
A method is not strong in isolation.
Interviews are useful when participants can illuminate experiences or mechanisms, while surveys can describe distributions or test relationships when measurement and sampling support those aims. A mixed design is valuable only when each strand supplies something the other cannot and the two meet in interpretation.
The chapter therefore treats methodological choice as an argument with consequences rather than a label attached to a proposal.
What this chapter covers
- 01
Research as systematic inquiry
- 02
Qualitative evidence and meaning
- 03
Quantitative evidence and numerical analysis
- 04
Mixed-method integration points
- 05
Question, design, evidence and claim
- 06
Description against inference
Worked example · free
Create paired questions without overclaiming
- 3Name a measurable comparison and timeframe.
- 3Name a process that interviews can illuminate.
- 2Explain where the strands meet.
Key terms
- Research Paradigm
- A broad framework for deciding what counts as evidence and how knowledge claims are justified.
- Qualitative Research
- Inquiry using non-numeric material to understand meaning, experience and social process in depth.
- Quantitative Research
- Inquiry using numerical measures and mathematically based analysis to examine amount, difference or association.
- Mixed Methods
- A design in which qualitative and quantitative strands have distinct purposes and are deliberately integrated.
- Inference
- The reasoned movement from observed evidence to a claim whose scope is limited by design and sampling.
Educational Inquiry and Research Paradigms FAQ
How do qualitative and quantitative questions differ?
Qualitative questions usually seek meaning, experience or process and produce material that can be interpreted in context. Quantitative questions examine amount, distribution, association or difference using numerical measures. The decisive issue is the answer form required, not whether the question begins with how, what or why.
When is a study genuinely mixed methods?
It is genuinely mixed when each strand has a distinct role and the findings interact. Interviews might explain an unexpected survey pattern, or early qualitative work might define variables for a questionnaire. Collecting both forms of data without an integration point creates parallel studies rather than a mixed design.
Can a small study still be valuable?
Yes. A small qualitative study can provide a careful account of mechanisms, meanings or contrasting experiences, while a small quantitative exercise can test measurement and analytic procedures. Its value depends on a claim fitted to the design, not on pretending that a limited sample represents an entire population.
How can I test whether a paradigm label is doing useful work?
Connect the label to a concrete decision about the question, evidence, researcher role, analysis and permitted claim. Then name an alternative decision another stance might support. If removing the label changes none of those choices, replace it with a direct explanation of the design. Paradigm language earns its place by making assumptions and consequences visible, not by making the proposal sound more theoretical.
Assessment move
Carry one educational problem through both paradigms. Write the qualitative question, the quantitative question, the evidence each requires and one conclusion each could support. Then write a sentence that neither design could justify. This contrast makes method boundaries memorable and prevents the common mistake of choosing a convenient tool before deciding what must be learned. Build a two-column paradigm ledger.
In the first column, describe what counts as knowledge, how context enters the explanation and what relationship the researcher has to participants. In the second, record the design consequence of each position.
For example, treating meaning as situated calls for evidence that preserves participants’ accounts and the setting in which they arise; treating a construct as measurable requires a defensible operational definition and a rule for comparing observations. Next, take one confident conclusion and trace it backwards through claim, analysis, data, collection and question. Mark every transition where an assumption is needed.
Rewrite the conclusion until each assumption is either supported or clearly bounded. Compare a qualitative and quantitative account of the same educational issue without forcing one to imitate the other. Ask what variation a numerical pattern conceals and what prevalence an interview account cannot estimate.
Finish with a mixed-evidence paragraph that states what the two forms contribute separately before explaining how they complement or challenge one another. This routine turns abstract labels into decisions about evidence, inference and language. It also gives you a practical test for coherence: changing the research question should change the data needed, the analysis performed and the kind of conclusion permitted.
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