Theory–Method–Data Alignment Toolkit

Interactive matrices showing how research designs align key manuscript sections.

Quantitative Designs

Research Design	Literature Review	Theoretical Framework	Results	Discussion
Randomized Controlled Trials (RCTs)	Synthesize causal theory and prior experiments Justify the need for manipulation and control (e.g., lack of internal validity in past work)	Translate constructs into operational IVs & DVs State directional causal hypotheses (H₁: Treatment → Outcome) Specify manipulation checks	Report randomization balance, manipulation checks Present ANOVA/ANCOVA or regression with effect sizes & CIs Provide assumption diagnostics (normality, homogeneity)	Evaluate causal claims against theory; compare to prior RCTs Discuss boundary conditions (sample, setting) and threats to validity Offer theory‑driven design tweaks for future experiments
Quasi‑Experimental (e.g., Difference‑in‑Differences, Propensity Match)	Review observational studies showing correlation yet unresolved causality Identify policy change/natural experiment context	Map theoretical mechanisms; articulate expected treatment effect pattern (parallel trends assumption, etc.)	Show pre‑ and post‑trend graphs; test DID interaction or matched regression Present robustness checks (placebo tests, sensitivity analyses)	Interpret effect sizes relative to theory & policy relevance Acknowledge residual confounding risks; propose stronger tests Discuss generalizability across contexts
Cross‑Sectional Survey (Regression / SEM)	Summarize correlational evidence & theoretical gaps Identify competing explanations requiring simultaneous control	Develop path model or multiple regression schema State hypotheses on direction & magnitude of relations; include control variables rationale	Provide reliability/validity stats (α, CR, AVE) Present regression/SEM coefficients, R², fit indices Assess multicollinearity & common‑method bias	Link coefficient patterns back to theory (support/refute) Consider alternative models; discuss causal limitations Suggest experimental or longitudinal follow‑ups
Longitudinal Panel / Growth Modeling	Review temporal theories (developmental, learning curves) Note inconsistent cross‑sectional findings	Specify time‑based hypotheses (growth rate, lagged effects) Justify measurement intervals relative to theoretical process	Report unconditional growth model, then conditional predictors Provide fixed vs. random effect variance, ICCs Display trajectory plots	Theorize about developmental phases and inflection points Relate findings to maturation or adaptation theories Discuss time‑specific threats (attrition, historical events)
Multilevel / Hierarchical Modeling (HLM)	Synthesize literature that conflates individual & group effects Identify cross‑level mechanisms (e.g., climate → individual attitudes)	Present nested conceptual model (Level‑1, Level‑2, cross‑level interactions) Formulate hypotheses at each level	Report ICCs, variance decomposition Present fixed effects, random slopes, cross‑level interactions Include model fit (−2LL, AIC)	Discuss contextual amplification or buffering per theory Address ecological and atomistic fallacies Offer organizational or policy implications at each level
Meta‑Analysis	Map fragmented empirical findings; highlight effect‑size heterogeneity Identify theoretical moderators needing systematic test	Develop inclusion criteria & coding scheme linked to theory State moderator hypotheses (e.g., context, sample, measurement)	Report overall effect size (g, r, OR) with CIs Present heterogeneity stats (Q, I²) & meta‑regression results Test publication bias (Egger, trim‑and‑fill)	Reconcile conflicting literature; refine theoretical boundaries Propose revised theoretical model incorporating moderators Suggest priority areas for primary studies

Qualitative Designs

Research Design	Literature Review	Theoretical Framework	Findings	Discussion
Grounded Theory	Concise, gap‑focused overview to show why existing explanations are inadequate Identify sensitizing concepts only—avoid exhaustive theorizing Justify need for an inductive, process‑oriented study	Argue why grounded theory suits the research puzzle (e.g., under‑theorized, dynamic process) Declare sensitizing concepts and researcher stance (Glaserian vs. Straussian vs. constructivist)	Present core categories and their properties Build an emergent substantive theory (diagram or storyline) grounded in constant comparison Link evidence to each category via thick data excerpts	Position the new model vis‑à‑vis existing theories—does it extend, refine, or challenge them? Discuss theoretical saturation and boundary conditions Outline testable propositions or next‑step studies
Ethnography (interpretive / critical)	Map the cultural, historical, or organizational context Highlight prior ethnographies and theoretical debates (e.g., practice theory, symbolic interactionism)	State philosophical stance (critical, feminist, etc.) Introduce guiding cultural concepts (habitus, ritual, power) Explain reflexive positioning of the researcher	Provide thick description that interweaves emic voices with analytic interpretation Identify cultural patterns, norms, and meaning systems	Theorize how the local culture relates to broader social theories (e.g., Foucauldian power) Reflect on transferability and implications for theory‑building
Phenomenology (descriptive / interpretive)	Review what is known about the lived experience in question and its conceptual gaps Summarize philosophical roots (Husserl, Heidegger, Merleau‑Ponty)	Clarify phenomenological orientation (transcendental vs. hermeneutic) Explain epoché / bracketing strategy and analytic steps (e.g., van Manen's thematic analysis)	Report essential structures of the experience using rich participant quotations Articulate invariant themes, textual and structural descriptions	Situate essences in relation to psychological, sociological, or organizational theories Discuss contributions to theory of consciousness, embodiment, or identity
Narrative Inquiry	Survey how the phenomenon has been storied in prior work (identity, sense‑making, temporality) Identify narrative theory concepts (plot, chronotope, voice)	Present narrative analytic lens (Labovian, holistic‑content, dialogic‑performance) Explain co‑construction of stories between researcher and participant	Offer individual and/or composite narratives, highlighting turning points and meaning‑making Analyze narrative structures and contexts	Relate emergent narratives to theories of self, leadership identity, or organizational change Theorize how storytelling shapes (or resists) dominant discourses
Interpretivist Case Study	Define the bounded case and justify its instrumental or intrinsic value Review competing explanations or frameworks relevant to the case	Present conceptual propositions that sensitize observation (e.g., sense‑making, LMX) Explain how multiple data sources will offer triangulated insight	Provide within‑case themes and analytic assertions, supported by cross‑source evidence (documents, interviews, artifacts)	Compare findings with theoretical propositions; refine or extend mid‑range theory Discuss analytic generalizability—how the case "talks back" to theory
Directed or Theory‑Driven Content Analysis / Framework Analysis	Full exposition of the a priori theory guiding the codebook Summarize empirical support and unresolved controversies	Specify conceptual domains and operational definitions Present initial coding matrix aligned with theoretical constructs	Display prevalence, context, and exemplars of each deductive code Note inductive sub‑codes that emerged	Evaluate how the findings confirm, qualify, or disconfirm the guiding theory Offer theoretical refinement, measurement implications, or practice recommendations