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The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design o
Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, with the purpose of understanding and optimizing learning and the environments in which it occurs. Formally introduced by George Siemens and Phil Long in 2011, the approach draws on data generated in di
The learning curve models how performance improves predictably as cumulative experience accumulates. Formalized by Theodore Wright in 1936 using aircraft manufacturing data, it expresses the relationship between the number of practice trials (or production units) and the time or cost per unit as a power-law function. I
Legal content analysis applies the systematic procedures of content analysis to legal texts — statutes, regulations, judicial opinions, treaties, and legal commentaries — in order to identify patterns, themes, and trends across a corpus of legal material. It bridges qualitative legal scholarship and quantitative social
Lesson study is a structured, cyclical form of professional development and educational research in which a team of teachers collaboratively plans a single 'research lesson,' observes it live in a classroom, analyzes student learning in detail, revises the lesson, and shares findings with the broader teaching community
Life history research is a qualitative method that captures the full arc of an individual's life — or a significant portion of it — through extended biographical interviewing and analysis of personal documents. Rooted in early Chicago School sociology, the method treats each life story as a window into broader social,
Longitudinal autoethnography is a qualitative research design in which the researcher systematically documents, reflects on, and analyzes their own lived experience across an extended period — typically months to years. By combining the self-reflexive focus of autoethnography with a longitudinal temporal structure, thi
Longitudinal Biographical Research (LBR) is a qualitative approach that combines in-depth biographical or narrative interviewing with a repeated, time-extended data-collection design. Participants are interviewed at multiple time points — sometimes years apart — so that researchers can trace how individuals construct,
A longitudinal case study is a qualitative research design that combines the in-depth, contextually rich focus of case study methodology with repeated data collection across multiple time points. Rather than capturing a single snapshot, it follows one or a small number of cases — an individual, group, organisation, or
Longitudinal causal-comparative research is a non-experimental quantitative design that compares pre-existing groups on one or more dependent variables across multiple measurement points over time. Unlike true experiments, the researcher does not manipulate the independent variable; instead, naturally occurring group d
Longitudinal Classic Grounded Theory applies Glaser and Strauss's original discovery-oriented grounded theory method across two or more data collection waves separated by time. The approach tracks how social processes, behaviors, and conceptual categories evolve, allowing the researcher to build a substantive theory th
Longitudinal cohort research is an observational quantitative design that recruits a defined group of individuals sharing a common characteristic (the cohort) and follows them prospectively over time, collecting data at multiple points to examine how outcomes develop, risks accumulate, or relationships change. It is th
Longitudinal comparative legal analysis examines how legal rules, doctrines, or institutions develop and diverge across two or more legal systems over an extended period. By combining the spatial dimension of comparative law with the temporal dimension of longitudinal research, it captures not just differences between
Longitudinal confirmatory research combines the temporal depth of longitudinal design with the hypothesis-driven logic of confirmatory analysis. The researcher specifies a priori hypotheses or structural models about how variables change or remain stable over time, then tests those predictions against data collected at
Longitudinal Constructivist Grounded Theory combines Kathy Charmaz's constructivist variant of grounded theory — which foregrounds the co-construction of meaning between researcher and participants — with a multi-wave, time-extended data collection design. Rather than capturing a single snapshot, the researcher returns
Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension
Longitudinal Critical Discourse Analysis (LCDA) combines the critical discourse analysis tradition — which examines how language constructs and reproduces power, ideology, and social inequality — with a longitudinal design that collects and compares texts at multiple time points. By tracking discursive change over time
Longitudinal cross-sectional research — also called cohort-sequential or accelerated longitudinal design — simultaneously follows multiple age cohorts over time, combining the depth of longitudinal tracking with the age-range efficiency of cross-sectional sampling. By overlapping cohorts at successive waves, researcher
Longitudinal Discourse Analysis (LDA) is a qualitative research approach that examines how discourse — language in use, texts, talk, and representational practices — changes across time. Rather than analysing a single snapshot of language, LDA collects and compares discourse data at multiple points to uncover how meani
Longitudinal document analysis is a qualitative research approach that systematically collects and analyzes documents at multiple time points to trace how phenomena, discourses, policies, or organizational practices change over time. By treating documents as primary data sources rather than supplementary evidence, rese
Longitudinal ethnography is a qualitative research design in which a researcher conducts sustained, repeated fieldwork with the same community, organisation, or group across an extended period — months to decades. By returning to the field at multiple time points, the researcher captures how social processes, meanings,
A longitudinal ex post facto design combines the time-depth of longitudinal research with the retrospective logic of ex post facto inquiry. Participants are grouped by a naturally occurring characteristic or past event — not randomly assigned — and then observed or measured at multiple points over time. The goal is to
Longitudinal explanatory research combines repeated measurement over time with an explicit aim of explaining why and how variables change or influence one another. Unlike purely descriptive longitudinal designs, the explanatory orientation tests causal or predictive hypotheses by examining temporal precedence — a key c
Longitudinal grounded theory is a qualitative research design that applies grounded theory's inductive, iterative logic to data collected from the same participants or settings across multiple time points. It is used to build substantive theory that accounts not only for social processes but also for how those processe
Longitudinal hermeneutic analysis combines the interpretive depth of hermeneutics with repeated data collection across time, tracing how meanings, understandings, and interpretations evolve within individuals, texts, or communities. Rooted in Gadamerian and Ricoeurian hermeneutics, this approach treats meaning as tempo
Longitudinal historical archival research is a qualitative and documentary method that systematically examines primary archival sources — records, manuscripts, correspondence, institutional files — across multiple points in time to trace change, continuity, or development within a phenomenon over an extended historical
Longitudinal hypothesis testing research combines a longitudinal design — measuring the same units repeatedly over time — with formal null-hypothesis significance testing to determine whether observed changes exceed what chance alone can explain. It is widely used in education, medicine, psychology, and social science
Longitudinal Institutional Ethnography (longitudinal IE) combines Dorothy Smith's sociology of standpoint — institutional ethnography — with repeated data collection over time to trace how institutional texts, relations, and ruling practices shape people's everyday lives across a temporal span. By revisiting the same p
Longitudinal Interpretive Phenomenological Analysis (L-IPA) extends the IPA tradition by interviewing the same participants at multiple time points, allowing researchers to trace how the meaning of a lived experience evolves over time. Grounded in phenomenology and hermeneutics, L-IPA preserves idiographic depth at eac
Longitudinal life history research follows the same participants across multiple points in time, collecting repeated in-depth accounts of how their life stories evolve, how they narrate past events differently over time, and how biography intersects with social change. It combines the interpretive depth of life history
Longitudinal Metaphor Analysis (LMA) is a qualitative method that tracks how individuals or groups use metaphors across multiple time points to reveal conceptual, attitudinal, or identity shifts. Grounded in conceptual metaphor theory and discourse dynamics, it treats metaphor not as mere rhetorical decoration but as a
Longitudinal model testing research combines repeated measurement across time with formal, a priori structural modeling to confirm or disconfirm hypothesized relationships among constructs. Rather than simply describing change, it tests whether a pre-specified theoretical model — typically a structural equation model o
Longitudinal multiple case study is a qualitative research design that examines two or more bounded cases through repeated data-collection waves over an extended period. By tracking each case across time and comparing patterns across cases, researchers can document how phenomena change, stabilise, or diverge — generati
Longitudinal narrative research is a qualitative design that follows participants across multiple time points, gathering and analyzing their stories to understand how experiences, identities, and meanings evolve over time. Rooted in Clandinin and Connelly's narrative inquiry tradition, it treats human experience as fun
Longitudinal netnography applies the systematic, immersive online ethnographic method developed by Kozinets across multiple time points to reveal how digital communities, cultural practices, and shared meanings evolve. Rather than offering a snapshot of online life, it tracks the same community or platform over weeks,
Longitudinal oral history is a qualitative research design in which the same participants are interviewed repeatedly over an extended period — months or years — using open-ended, narrative-focused conversations. By revisiting participants at multiple points in time, the researcher traces how individuals construct, revi
Longitudinal oral history method is a qualitative research design in which the same participants are interviewed repeatedly over an extended period — months or years — using oral history interviewing techniques. By returning to narrators across time, researchers can trace how personal accounts, identities, and interpre
Longitudinal phenomenology applies phenomenological inquiry across two or more time points to capture how participants' lived experience of a phenomenon changes, deepens, or transforms over time. Rooted in the phenomenological tradition of Husserl and Heidegger, it adds an explicit temporal dimension — asking not only
Longitudinal program evaluation is an applied research design that tracks the outcomes and processes of a program or intervention across multiple time points — from pre-implementation baseline through medium- and long-term follow-up. Unlike single-point evaluations, it captures how program effects emerge, fade, or evol
Longitudinal qualitative content analysis (LQCA) applies systematic content analysis to text data gathered from the same participants, settings, or documents at two or more points in time. The method preserves the interpretive rigour of qualitative content analysis while adding an explicit temporal dimension, enabling
Longitudinal quantitative content analysis systematically codes and counts features of texts, images, or media messages gathered at two or more points in time, enabling researchers to track how content changes, how themes rise or fall in prevalence, and how media or institutional messaging responds to external events.
Longitudinal Reflexive Thematic Analysis (L-RTA) applies Braun and Clarke's reflexive thematic analysis framework to qualitative data collected from the same participants (or context) at two or more time points. Rather than producing a single static account, it tracks how meanings, experiences, and themes evolve, persi
Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying dev
A longitudinal single case study is a qualitative research design that follows one bounded unit — a person, organization, program, or community — through multiple points in time. Unlike a cross-sectional snapshot, it captures how phenomena develop, shift, or respond to events across months or years, combining the conte
Longitudinal Straussian Grounded Theory applies the systematic coding procedures of Strauss and Corbin's grounded theory — open, axial, and selective coding — to data gathered across multiple time points. Rather than producing a static snapshot of a social phenomenon, it tracks how processes, identities, or conditions
Longitudinal survey research collects structured questionnaire data from the same individuals (or units) at two or more points in time. Unlike a one-shot cross-sectional survey, this design captures change, stability, and temporal ordering of variables — enabling researchers to track trajectories, test causal sequences
Longitudinal Visual Analysis (LVA) is a qualitative research design that systematically collects, organises, and interprets visual data — photographs, video, maps, or diagrams — gathered at two or more time points to document change, continuity, or transformation in people, places, or social phenomena. By anchoring ana
Media Framing Analysis is a systematic method for examining how news coverage and media messages organize and present information in ways that promote particular interpretations while obscuring others. Originating in Erving Goffman's sociological work (1974) and developed extensively by communication scholars like Robe
Member checking is a quality assurance procedure in qualitative research in which the researcher shares preliminary findings, interpretations, or analytical themes with research participants and asks whether the findings accurately reflect their perspectives and experiences. Developed by Lincoln and Guba (1985) as a tr
Metaphor Analysis is a qualitative method that identifies, classifies, and interprets the metaphors embedded in language to reveal how speakers and writers conceptualise experience, construct meaning, and exercise ideological influence. Grounded in Lakoff and Johnson's Conceptual Metaphor Theory, it treats metaphor not
Minimum number of individuals (MNI) is a quantitative zooarchaeological method that estimates the minimum number of animals represented in a faunal assemblage based on the frequency of unique skeletal elements. Developed by Theodore White in 1953, it is one of the most widely used techniques for analyzing animal bone a
The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make d
Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-
Mixed methods research is a systematic research design in which quantitative and qualitative data are collected and analysed within a single study. Formalised by Creswell and Plano Clark (2003, 3rd ed. 2018), it offers three principal design variants — concurrent, sequential, and transformative — and strengthens findin
Mixture experiment design is a class of constrained experimental design in which the factors are the proportions of components in a blend, subject to the constraint that all proportions sum to one. The framework was formalised by Henry Scheffé in 1958 and covers simplex-lattice, simplex-centroid, and D-optimal mixture
MMAT (Mixed Methods Appraisal Tool) is a practical, design-agnostic quality assessment tool developed by Pluye et al. (2014, updated 2018) to evaluate the methodological quality of quantitative (RCTs, non-randomized studies), qualitative, and mixed-methods studies. Unlike tools designed for single paradigms (e.g., Coch
A multi-arm experiment simultaneously compares three or more treatment or intervention conditions — each called an arm — against a shared control or against one another. By testing multiple alternatives in a single study, it yields more information per participant than running separate two-group experiments sequentiall
The multi-armed bandit (MAB) is an adaptive experimental framework that allocates trials sequentially across competing arms to minimise cumulative regret while simultaneously learning which arm performs best. Formalised by Robbins in 1952 and given finite-time guarantees by Auer et al. (2002), it balances exploration o
A multi-response control chart simultaneously monitors two or more correlated quality characteristics on a single chart, preserving the correlation structure that univariate charts ignore. Built on Hotelling's T² statistic and its time-weighted extensions (MEWMA, MCUSUM), it detects process shifts that would be missed
Multi-response Design of Experiments (MRDoE) extends classical DoE to situations where several response variables must be optimized simultaneously. Rather than tuning factors for a single output, the experimenter fits separate regression or response-surface models for each response, then combines them — most often via