Ai Research Methodology

Research Methodology Foundations

Doctoral work examines how research is designed, conducted and justified. Method quality determines whether findings can be believed at all.

Philosophy Of Science Research

Research examines the nature of scientific knowledge and its justification. Philosophical positions shape what counts as acceptable evidence.

Epistemology In Research

Doctoral study examines assumptions about how knowledge can be obtained. Epistemological choices determine which methods are considered appropriate.

Ontology And Research Design

Research examines assumptions about the nature of what is being studied. Ontological position shapes both the question asked and the method selected.

Positivist Tradition Research

Doctoral work examines approaches seeking objective and measurable regularities. This tradition underpins most quantitative research practice today.

Interpretivist Tradition Research

Research examines approaches seeking to understand meaning and lived experience. Interpretivist work asks questions that measurement cannot address.

Critical Realist Research

Doctoral study examines a position accepting reality while acknowledging perception. This position supports explanation through underlying mechanisms.

Pragmatist Approach Research

Research examines selecting methods according to the question actually being asked. Pragmatism underpins much of contemporary mixed method practice.

Paradigm Debate Research

Doctoral work examines disagreement between competing research traditions. These debates shape what research gets funded and what gets published.

Theory Building Research

Research examines how explanatory theory is constructed, tested and refined. Theory connects individual findings into a coherent understanding.

Conceptual Framework Research

Doctoral study examines structures organising concepts within a study. Frameworks make assumptions explicit rather than leaving them hidden.

Hypothesis Formulation Research

Research examines constructing testable statements from underlying theory. Formulation quality determines whether a study can settle anything at all.

Research Question Design

Doctoral work examines framing questions that research can actually answer. Question quality constrains everything that follows within a study.

Problem Definition Research

Research examines identifying and articulating the problem being addressed. Poorly defined problems produce studies answering nothing useful.

Literature Review Methodology

Doctoral study examines systematic approaches to surveying existing knowledge. Review method determines whether the survey is genuinely balanced.

Systematic Review Method

Research examines structured methods for identifying and appraising evidence. Systematic methods reduce the bias that informal reviewing introduces.

Scoping Review Method

Doctoral work examines mapping the extent and nature of available evidence. Scoping suits areas where the literature is diverse and unclear.

Rapid Review Method

Research examines accelerated evidence synthesis supporting urgent decisions. Speed is achieved by accepting explicit methodological compromises.

Realist Review Method

Doctoral study examines synthesis explaining what works for whom and why. Realist approaches suit complex interventions across varied settings.

Evidence Mapping Research

Research examines charting where evidence exists and where gaps still remain. Maps direct future research toward genuinely unanswered questions.

Research Design Selection

Doctoral work examines matching study design to the question being asked. Design choice determines what conclusions can legitimately be drawn.

Experimental Design Research

Research examines studies where the investigator controls the intervention. Control permits causal conclusions that observation cannot support.

Randomisation Method Research

Doctoral study examines methods assigning participants to groups by chance. Randomisation balances both known and unknown differences between groups.

Allocation Concealment Research

Research examines preventing foreknowledge of group assignment before entry. Concealment failure permits selection bias to enter randomised studies.

Blinding Method Research

Doctoral work examines keeping participants and assessors unaware of assignment. Blinding prevents expectation influencing measured outcomes.

Factorial Design Research

Research examines studies testing several interventions simultaneously. Factorial designs answer more questions from the same set of participants.

Crossover Design Research

Doctoral study examines participants receiving several conditions in sequence. Each participant serves as their own internal comparison group.

Cluster Design Research

Research examines randomising whole groups rather than separate individuals. Clustering suits interventions delivered to entire communities.

Stepped Wedge Design

Doctoral work examines sequential rollout of an intervention across sites. This design suits situations where withholding would be unacceptable.

Adaptive Design Research

Research examines studies modified according to accumulating information. Adaptation improves efficiency and complicates interpretation considerably.

Pilot And Feasibility Study

Doctoral study examines small studies testing whether larger work is possible. These studies should assess feasibility rather than effectiveness.

Quasi Experimental Design

Research examines intervention studies without any random group assignment. These designs suit settings where randomisation is simply impossible.

Natural Experiment Research

Doctoral work examines exploiting external events that resemble experiments. Natural variation permits causal inference without any intervention.

Observational Design Research

Research examines studies observing without any investigator intervention. Observation suits questions that experiment cannot ethically address.

Cohort Study Design

Doctoral study examines following defined groups forward through time. Cohorts establish sequence between an exposure and any later outcome.

Case Control Design

Research examines comparing those with an outcome against those without. This design suits rare outcomes that cohorts cannot efficiently study.

Cross Sectional Design

Doctoral work examines measuring exposure and outcome at a single time point. Simultaneous measurement cannot establish which of them came first.

Longitudinal Design Research

Research examines repeated measurement of the same participants over time. Repeated measurement separates change within people from between people.

Case Study Methodology

Doctoral study examines intensive investigation of particular instances. Case study suits complex phenomena studied within their real context.

Ethnographic Method Research

Research examines prolonged immersion within the setting being studied. Immersion reveals practice that interviews and surveys entirely miss.

Action Research Methodology

Doctoral work examines research conducted jointly with those being studied. Action research pursues both understanding and practical change.

Design Science Research

Research examines creating and evaluating artefacts as a research approach. Design research produces solutions alongside generalisable knowledge.

Simulation Study Design

Doctoral study examines computational experiments evaluating methods themselves. Simulation is how statistical methods are principally assessed.

Mixed Method Design

Research examines combining quantitative and qualitative approaches together. Combination addresses questions neither approach answers alone.

Method Integration Research

Doctoral work examines genuinely joining differing forms of collected evidence. Integration is frequently claimed and rarely achieved in practice.

Sequential Design Research

Research examines phases where one method informs the design of another. Sequencing lets early findings shape all of the subsequent investigation.

Convergent Design Research

Doctoral study examines collecting differing evidence types simultaneously. Convergent designs compare findings that were gathered independently.

Comparative Method Research

Research examines systematic comparison across cases, settings or countries. Comparison identifies what varies and what genuinely remains constant.

Historical Method Research

Doctoral work examines rigorous investigation of past events and processes. Historical method addresses evidence that cannot be regenerated.

Archival Method Research

Research examines using preserved records as primary research material. Archives reflect what institutions chose to record and chose to retain.

Sampling Theory Research

Doctoral study examines the statistical basis for selecting study participants. Sampling determines to whom findings can legitimately generalise.

Probability Sampling Research

Research examines selection where each unit has a known inclusion chance. Known probabilities permit formal generalisation to whole populations.

Purposive Sampling Research

Doctoral work examines deliberate selection of informative participants. Purposive selection suits depth rather than statistical generalisation.

Referral Sampling Research

Research examines recruitment through participants nominating further participants. This approach reaches populations no sampling frame lists.

Sample Size Determination

Doctoral study examines deciding how many participants a study will require. Underpowered studies waste resources and mislead the wider literature.

Statistical Power Research

Research examines the probability of detecting an effect that genuinely exists. Low power produces both missed effects and exaggerated estimates.

Precision Based Sizing

Doctoral work examines sizing studies around estimate precision instead. Precision framing avoids the difficulties that testing based sizing brings.

Recruitment Method Research

Research examines approaches to enrolling participants into research studies. Recruitment difficulty is the commonest single cause of study failure.

Participant Retention Research

Doctoral study examines keeping participants engaged throughout a study. Retention determines whether longitudinal findings remain trustworthy.

Attrition Research

Research examines participants leaving before a study has been completed. Loss is rarely random and systematically biases the remaining sample.

Nonresponse Research

Doctoral work examines those approached who decline to take part at all. Nonresponders typically differ from responders in important respects.

Selection Bias Research

Research examines distortion arising from how participants entered a study. Selection effects can entirely reverse an apparent relationship.

Representativeness Research

Doctoral study examines whether samples reflect their intended populations. Unrepresentative samples limit who the findings can legitimately apply to.

Hard To Reach Population

Research examines including groups conventional recruitment systematically misses. Exclusion of these groups distorts the whole evidence base.

Measurement Theory Research

Doctoral work examines the principles underlying assignment of numbers to attributes. Measurement theory is frequently ignored within applied research.

Construct Definition Research

Research examines specifying precisely what a study intends to measure. Vague constructs make measurement claims impossible to evaluate properly.

Operationalisation Research

Doctoral study examines converting abstract concepts into measurable observations. Operationalisation choices strongly shape the findings obtained.

Instrument Development Research

Research examines constructing new measurement tools in a systematic way. Development requires far more evidence than most publications provide.

Item Generation Research

Doctoral work examines producing the individual questions within an instrument. Item wording influences responses more than researchers expect.

Scale Construction Research

Research examines combining separate items into a coherent measurement scale. Construction determines whether resulting scores mean anything consistent.

Reliability Research

Doctoral study examines consistency of measurement across occasions and raters. Unreliable measurement attenuates every relationship examined.

Validity Research

Research examines whether instruments measure what they claim to measure. Validity is a property of interpretations rather than instruments.

Construct Validity Research

Doctoral work examines whether measures reflect the intended underlying concept. This form of validity requires accumulated evidence over time.

Content Validity Research

Research examines whether an instrument covers the relevant conceptual ground. Coverage judgements require expert and participant involvement.

Criterion Validity Research

Doctoral study examines agreement between a measure and a reference standard. Reference standards are frequently imperfect or entirely absent.

Measurement Invariance Research

Research examines whether instruments measure identically across groups. Without invariance, group comparisons are not genuinely meaningful.

Item Response Theory

Doctoral work examines modelling responses as functions of underlying ability. This framework supports adaptive testing and shortened instruments.

Classical Test Theory

Research examines the traditional framework treating scores as truth plus error. This framework remains widely used despite known limitations.

Rasch Analysis Research

Doctoral study examines a measurement model with strict formal requirements. Meeting requirements permits genuinely interval level measurement.

Cognitive Interviewing Research

Research examines how respondents actually interpret the survey questions asked. Interpretation frequently differs sharply from designer intention.

Questionnaire Design Research

Doctoral work examines constructing surveys that yield trustworthy answers. Design details affect responses more than content frequently does.

Response Format Research

Research examines how answer options shape the responses that people give. Format choice measurably changes distributions of reported answers.

Survey Method Research

Doctoral study examines collecting structured information from many respondents. Surveys remain the dominant method across many disciplines.

Survey Mode Research

Research examines effects of the delivery channel upon survey responses. Mode influences who responds and also what they are willing to report.

Response Bias Research

Doctoral work examines systematic distortion in how people answer questions. Response tendencies can dominate the substantive signal sought.

Social Desirability Research

Research examines respondents reporting what appears socially acceptable. This tendency affects sensitive topics particularly severely indeed.

Recall Bias Research

Doctoral study examines inaccuracy when participants report past events. Recall accuracy depends upon outcome status and upon the elapsed time.

Observation Method Research

Research examines systematic watching and recording of actual behaviour. Observation captures practice that self report simply cannot access.

Interview Method Research

Doctoral work examines conducting research conversations with participants. Interview approach shapes what participants feel able to actually say.

Focus Group Method

Research examines group discussion as a data generation approach. Group interaction produces material that individual interviews cannot generate.

Document Analysis Research

Doctoral study examines existing texts as systematic research material. Documents reveal institutional reasoning that people can no longer recall.

Digital Measurement Research

Research examines sensors and devices generating research measurements. Digital measurement captures behaviour continuously and unobtrusively.

Routine Data Method Research

Doctoral work examines using data collected for entirely nonresearch purposes. Routine data offers scale alongside serious quality limitations.

Administrative Data Research

Research examines records generated through service and government operations. Administrative records cover populations no survey could reach.

Data Linkage Method Research

Doctoral study examines joining records concerning the same individuals. Linkage error introduces bias that published analyses rarely acknowledge.

Statistical Inference Research

Research examines drawing conclusions about whole populations from samples. Inference frameworks rest upon assumptions that are frequently unmet.

Frequentist Framework Research

Doctoral work examines inference based on long run sampling behaviour. This framework dominates published research across nearly all disciplines.

Bayesian Framework Research

Research examines inference expressing conclusions as probability distributions. This framework incorporates prior information explicitly and openly.

Prior Specification Research

Doctoral study examines choosing prior distributions within Bayesian analysis. Prior choice can dominate conclusions wherever data is limited.

Posterior Revision Research

Research examines how beliefs change as evidence accumulates during analysis. Revision mechanics are the core of the whole Bayesian approach.

Likelihood Approach Research

Doctoral work examines inference based directly upon the likelihood function. This approach sits between the two dominant inferential frameworks.

Significance Testing Debate

Research examines longstanding criticism of conventional testing practice. Misinterpretation of test results is widespread and consequential.

Confidence Interval Research

Doctoral study examines interval estimates and how they are interpreted. Intervals convey precision that single point figures entirely conceal.

Effect Size Research

Research examines quantifying the magnitude rather than presence of effects. Magnitude matters far more than statistical detectability does.

Estimation Approach Research

Doctoral work examines emphasising estimates over binary test conclusions. Estimation framing addresses many criticisms of testing practice.

Multiple Comparison Research

Research examines analysing many outcomes or subgroups within one study. Repeated examination produces apparent findings arising from pure chance.

Regression Method Research

Doctoral study examines modelling relationships between variables statistically. Regression is the analytical workhorse across most disciplines.

Generalised Model Research

Research examines regression extended to nonnormal outcome distributions. Extension permits modelling counts, proportions and binary outcomes.

Multilevel Model Research

Doctoral work examines data where observations are nested within groups. Nesting violates the independence that standard methods simply assume.

Mixed Effect Model Research

Research examines models combining fixed and randomly varying components. These models handle repeated measurement and clustering simultaneously.

Longitudinal Analysis Research

Doctoral study examines analysing repeated measurements over extended periods. Analysis must separate change within from differences between people.

Survival Analysis Research

Research examines analysing the time until an event of interest occurs. These methods handle participants whose outcome is not yet observed.

Time Series Method Research

Doctoral work examines analysing observations ordered through successive time. Sequential observations are correlated and need specialised handling.

Structural Equation Modelling

Research examines modelling relationships among measured and latent variables. These models test whole theoretical structures simultaneously.

Latent Variable Research

Doctoral study examines modelling concepts that cannot be observed directly. Latent modelling separates measurement error from substantive relationships.

Mediation Analysis Research

Research examines investigating pathways through which effects actually operate. Mediation claims require assumptions that are rarely made explicit.

Moderation Analysis Research

Doctoral work examines whether effects differ across groups or conditions. Moderation analyses are typically underpowered and overinterpreted.

Causal Inference Research

Research examines establishing cause rather than association from data. Causal claims require assumptions that must be stated entirely explicitly.

Directed Graph Method

Doctoral study examines diagrams representing assumed causal relationships. Diagrams make analytical assumptions visible and open to challenge.

Confounding Control Research

Research examines accounting for variables affecting both exposure and outcome. Uncontrolled confounding is the central threat in observational work.

Propensity Method Research

Doctoral work examines balancing groups on their measured characteristics. These methods address measured but never any unmeasured confounding.

Instrumental Variable Method

Research examines methods addressing unmeasured confounding through proxies. Validity depends on assumptions that cannot be directly tested.

Difference Method Research

Doctoral study examines comparing change between exposed and unexposed groups. This approach controls for trends affecting both groups equally.

Regression Discontinuity Method

Research examines exploiting thresholds determining who receives an intervention. Threshold designs approximate randomisation near the cutoff.

Sensitivity Analysis Research

Doctoral work examines whether findings survive differing analytical choices. Sensitivity testing reveals how fragile conclusions actually are.

Missing Data Method Research

Research examines handling observations that were not successfully collected. Missingness is rarely random and biases naive analyses very badly.

Multiple Imputation Research

Doctoral study examines filling gaps several times to reflect uncertainty. Imputation preserves information that discarding records destroys.

Complete Case Analysis

Research examines analysing only participants with fully observed information. This approach is common, simple and frequently seriously biased.

Outlier Handling Research

Doctoral work examines identifying and managing unusual observed values. Handling decisions can substantially change the conclusions reported.

Restricted Range Research

Research examines analysis where observed values fall within narrow limits. Range restriction systematically weakens observed relationships.

Model Selection Research

Doctoral study examines choosing among several competing statistical models. Selection procedures invalidate the inference that then follows them.

Model Diagnostic Research

Research examines checking whether model assumptions are actually satisfied. Assumption checking is routinely omitted from published analyses.

Machine Learning In Research

Doctoral work examines learned models used within research analysis. These methods predict well and answer causal questions really rather poorly.

Prediction Model Method

Research examines developing models forecasting outcomes for individuals. Prediction requires reasoning quite different from that of explanation.

Model Validation Method

Doctoral study examines testing models in data separate from development. Most published prediction models fail external validation testing.

Overfitting Research

Research examines models capturing noise rather than any genuine structure. Overfitted models perform impressively and generalise very poorly.

Simulation Method Research

Doctoral work examines generating artificial data to evaluate analytical methods. Simulation reveals method behaviour under known conditions.

Resampling Method Research

Research examines repeatedly drawing from data to estimate uncertainty. Resampling avoids distributional assumptions that may be unjustified.

Meta Analysis Method

Doctoral study examines statistically combining results across separate studies. Combination is only valid where studies are genuinely comparable.

Network Meta Analysis

Research examines comparing several interventions across connected studies. Network methods permit comparisons that no trial directly examined.

Individual Data Synthesis

Doctoral work examines combining participant level data across studies. Individual data permits analyses that summary figures cannot support.

Heterogeneity Assessment

Research examines variation in findings between the combined studies. Substantial variation questions whether combination was ever appropriate.

Publication Bias Assessment

Doctoral study examines detecting selective publication of favourable findings. Unpublished results distort every synthesis of the literature.

Qualitative Analysis Method

Research examines systematic approaches to interpreting textual material. Analytical method should be stated as precisely as statistical method.

Thematic Analysis Research

Doctoral work examines identifying patterns of meaning across qualitative data. This approach is widely used and frequently applied imprecisely.

Grounded Theory Method

Research examines building theory systematically from collected material. The approach demands iterative collection alongside ongoing analysis.

Discourse Analysis Research

Doctoral study examines how language constructs meaning and social reality. Discourse methods examine what talk does rather than what it describes.

Narrative Analysis Research

Research examines the stories people construct about their own experience. Narrative form conveys meaning that content analysis simply discards.

Qualitative Rigour Research

Doctoral work examines criteria for judging qualitative research quality. Criteria differ from quantitative standards and remain actively contested.

Qualitative Synthesis Method

Research examines combining findings across separate qualitative studies. Synthesis must respect the context each study was embedded within.

Research Integrity Research

Doctoral study examines honesty and rigour throughout the research process. Integrity failures damage both accumulated knowledge and public trust.

Questionable Practice Research

Research examines practices falling short of misconduct yet distorting findings. These practices are common and remain very largely unpunished.

Selective Reporting Research

Doctoral work examines publishing only some measured outcomes or analyses. Selective reporting inflates apparent effects across whole literatures.

Analytical Flexibility Research

Research examines how many defensible analyses one dataset actually permits. Flexibility allows researchers to reach almost any desired conclusion.

Preregistration Research

Doctoral study examines specifying plans publicly before data is collected. Preregistration distinguishes confirmatory from exploratory findings.

Registered Report Research

Research examines peer review of study plans before any results are known. This format removes the incentive toward producing favourable findings.

Protocol Development Research

Doctoral work examines writing detailed plans before a study actually begins. Protocol quality determines whether a study can be evaluated fairly.

Statistical Analysis Plan

Research examines specifying analyses before examining any outcome data. Prespecification prevents choosing analyses that flatter the results.

Reproducibility Research

Doctoral study examines obtaining the same results from the same data. Reproduction failures are common even with entirely cooperative authors.

Replication Research

Research examines repeating studies using newly collected independent data. Replication is the principal available check upon any published claim.

Replication Difficulty Research

Doctoral work examines widespread failure to reproduce published findings. Failure rates have prompted substantial reform across several fields.

Open Data Research

Research examines making research data available for others to examine. Open data permits verification and reuse beyond the original purposes.

Open Code Research

Doctoral study examines sharing analytical code alongside published findings. Shared code permits others to verify exactly what was computed.

Data Management Planning

Research examines planning how data will be handled throughout a project. Planning prevents the loss and disorganisation that afflict projects.

Metadata Standard Research

Doctoral work examines describing datasets so others can use them correctly. Poor description makes shared data effectively unusable by anyone.

Data Citation Research

Research examines crediting datasets as genuine scholarly contributions. Citation practice determines whether sharing is professionally rewarded.

Research Software Research

Doctoral study examines code underpinning modern research across disciplines. Much critical software depends on very small maintainer teams.

Computational Reproducibility

Research examines whether computational results can be regenerated exactly. Environment differences defeat reproduction even with shared code.

Reporting Guideline Research

Doctoral work examines standards for what studies must actually report. Guidelines improve completeness where journals genuinely enforce them.

Transparency Research

Research examines openness about methods, data and analytical decisions. Transparency permits readers to judge the findings entirely for themselves.

Peer Review Research

Doctoral study examines evaluation of research by other working researchers. Review reliability is far lower than the system implicitly assumes.

Editorial Process Research

Research examines how journals select and handle submitted research work. Editorial decisions shape which findings ever enter the literature.

Preprint Research

Doctoral work examines sharing findings before formal journal review. Preprints accelerate communication and bypass established quality checks.

Publication Model Research

Research examines how scholarly publishing is organised and how it is funded. Publishing arrangements determine who can read and who can publish.

Research Assessment Research

Doctoral study examines how researchers and institutions are evaluated. Assessment criteria shape what research people actually choose to conduct.

Citation Metric Research

Research examines numerical indicators used to judge research influence. Metrics are very widely misused for purposes they cannot properly support.

Authorship Research

Doctoral work examines who is credited upon published research outputs. Authorship disputes are common and are very inconsistently resolved.

Contributorship Research

Research examines describing specific contributions rather than listing authors. Detailed description clarifies responsibility for each study component.

Research Ethics Research

Doctoral study examines ethical obligations toward research participants. Ethics frameworks arose directly from documented historical abuses.

Informed Consent Research

Research examines ensuring participants genuinely understand what they join. Consent documents frequently exceed participant reading ability.

Vulnerable Participant Research

Doctoral work examines protecting participants with reduced capacity to consent. Protection must not become exclusion from beneficial research.

Ethics Review Research

Research examines committees assessing proposed research before it begins. Review quality and consistency vary substantially between committees.

Data Protection In Research

Doctoral study examines legal obligations concerning personal research data. Protection requirements differ substantially between jurisdictions.

Secondary Use Ethics

Research examines using data for purposes beyond the original collection. Secondary use requires consent anticipating unspecified future work.

Community Involvement Research

Doctoral work examines involving affected communities in research decisions. Involvement changes which questions researchers actually pursue.

Participatory Method Research

Research examines participants sharing control over the research process. Participation shifts power from researcher toward those researched.

Coproduction Research

Doctoral study examines research designed jointly with those it concerns. Coproduced work is used more often and is abandoned considerably less.

Indigenous Methodology Research

Research examines research approaches grounded in Indigenous knowledge systems. These approaches assert differing foundations for valid knowledge.

Decolonising Method Research

Doctoral work examines critiques of whose knowledge research traditions privilege. This work questions assumptions treated as universally valid.

Equity In Research Design

Research examines designing studies serving all population groups fairly. Exclusion from research produces evidence that fails those excluded.

Global Research Partnership

Doctoral study examines collaboration across differing resource settings. Partnership arrangements determine who directs and who actually benefits.

Research Capacity Research

Research examines building ability to conduct research within institutions. Capacity determines which countries can address their own questions.

Doctoral Training Research

Doctoral work examines how researchers are prepared during doctoral study. Training determines the methodological standards of a generation.

Supervision Research

Research examines the relationship guiding doctoral researchers through study. Supervision quality strongly predicts completion and later outcomes.

Research Culture Research

Doctoral study examines norms and incentives within research environments. Culture determines whether rigorous practice is rewarded or penalised.

Career Structure Research

Research examines employment conditions across academic research careers. Insecure employment shapes what research people are able to undertake.

Funding And Method Research

Doctoral work examines how funding arrangements influence methodological choices. Funding structures favour some designs over equally valid others.

Knowledge Translation Research

Research examines moving research findings toward practical application. Translation requires effort quite distinct from conducting research.

Research Impact Research

Doctoral study examines effects of research beyond the academic literature. Impact assessment is demanded by funders and remains widely contested.

Implementation And Adoption

Research examines why methodological advances are or are not widely adopted. Better methods spread slowly against established disciplinary habit.