Checklist for Alignment Between Theory and Method

Use this checklist to examine how well your theoretical constructs align with your chosen research methods.

Instructions: Review each diagnostic question below and select whether each item is fully addressed in your study. For every question, mark Yes, No, or Partly. Any response other than an unqualified "Yes" signals where you must revise to tighten theory–method alignment. Use your responses to guide revisions and strengthen the alignment between your theoretical framework and methodological approach.
Construct Validity
Quantitative Design Qualitative Design Response
Have I written a one-sentence theoretical definition for every focal construct? Before data collection, did I memo explicit indicators (behaviors, talk, artefacts) for each construct?
Do my operational measures (e.g., scales, behavioral counts, archival indicators) capture those conceptual boundaries? Do my interview questions, observation protocols, or codebook categories map onto those indicators?
If I rely on latent variables, have I justified their validity? Have I triangulated data sources to safeguard construct validity?
Mechanism Traceability
Quantitative Design Qualitative Design Response
Does my model specify the causal pathway (mediators, moderators) connecting X to Y? Have I collected longitudinal or process-rich evidence (field notes, diaries, document timelines) that lets me trace X → B → Y?
Are mediators measured with temporal or statistical separation from antecedents and outcomes? Do my codes explicitly capture the theorized mechanism rather than only inputs and outcomes?
Have I tested alternative explanations or controlled for plausible confounds? Have I used temporal bracketing, process tracing, or pattern matching to support causal inference?
Theory-Driven Design
Quantitative Design Qualitative Design Response
Could a reader predict my hypotheses, variables, and analytic technique solely from my theory section? Did theory inform my sampling strategy (cases, sites, participants)
Does every survey scale, experiment manipulation, or statistical model element correspond to a theoretical proposition? Do interview questions, observation foci, and analytic categories derive from stated theoretical constructs, while still leaving room for emergent insights?
Contextual Fit & Boundary Conditions
Quantitative Design Qualitative Design Response
Does my sample population match the theory's scope (e.g., experienced leaders if the theory presumes expertise)? Have I conducted preliminary fieldwork or focus groups to ensure constructs are meaningful in this context?
If I study a new setting, have I justified why the theory should generalize—or how I am extending it? Does my rich description capture contextual features that may moderate theoretical relationships?
Have I tested measurement equivalence across groups or cultures when necessary? When transferring theory across cultures or eras, have I adapted definitions or asked culturally sensitive questions?
Complexity Right-Sizing
Quantitative Design Qualitative Design Response
Is my design powered to test every coefficient in my model? Can my data collection schedule realistically cover all theorized constructs and cycles?
Have I pruned the model to focus on the theory's core claims if resources are limited? Have I planned multiple, sequential studies (pilot, main, follow-up) rather than overloading one case?
Exploratory vs. Confirmatory Transparency
Quantitative Design Qualitative Design Response
Are preregistered hypotheses clearly distinguished from post-hoc findings? Have I kept an audit trail showing when theoretical ideas emerged?
Do I label unexpected patterns as exploratory and outline a plan for follow-up confirmation? Do I present emergent themes as provisional contributions, not retroactive validations?