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A participatory single case study is a qualitative design that examines one bounded case in depth while actively involving community members, practitioners, or participants as co-researchers throughout the inquiry. It blends Yin's case study rigor — triangulated evidence, thick description of context — with participato
Participatory Straussian grounded theory combines Strauss and Corbin's systematic, structured version of grounded theory with participatory research principles that give community members an active role in data generation, coding, and theory development. The result is a rigorously structured yet co-constructed theory a
Participatory transformative mixed methods is a research design that embeds both a participatory action framework and a transformative paradigm within mixed methods inquiry. Both quantitative and qualitative data are collected in active collaboration with marginalized or underserved communities, with the explicit aim o
Participatory Visual Analysis (PVA) is a qualitative research approach in which community members or research participants actively produce and interpret visual materials — photographs, drawings, videos, or maps — as a means of documenting their own experiences, surfacing knowledge, and informing action. Rather than th
Phenomenological research is a qualitative methodology focused on understanding the lived experience of a phenomenon as it is experienced by individuals. Rooted in the philosophical traditions of Edmund Husserl (descriptive phenomenology) and Martin Heidegger (interpretive phenomenology), this approach seeks to uncover
Phenomenology is a qualitative research approach that investigates how participants live through and make sense of a specific experience. Rooted in the philosophy of Edmund Husserl and extended by Martin Heidegger, it aims to reveal the essential structures of lived experience rather than to measure or predict outcomes
Phenomenology in education research is a qualitative approach that investigates how students, teachers, and educational actors experience pedagogical phenomena — learning, teaching, assessment, transition, or identity — from the inside. Drawing on van Manen's human science framework and Husserlian and Heideggerian trad
A pilot AB design applies the two-phase baseline-then-intervention structure of the AB single-subject design in an explicitly exploratory or feasibility mode — before committing to a more rigorous reversal or multiple-baseline study. The researcher collects repeated baseline (A) and intervention (B) data from one or a
The Pilot ABA Design is a small-scale single-subject experiment that applies the ABA reversal structure — baseline, intervention, withdrawal — to test the feasibility, acceptability, and preliminary effect of an intervention before committing to a full-scale study. It provides early evidence of whether the treatment pr
A Pilot ABAB design is a small-scale feasibility trial of the ABAB reversal design, conducted with one or a few participants to test whether an intervention produces reliable behavior change under alternating baseline and treatment conditions before committing resources to a larger study. It combines the internal-valid
A pilot control group experimental design is a small-scale, preliminary experiment that includes both a treatment group and a control group, conducted before the main study to test whether the full trial is feasible. It produces early effect-size estimates, identifies protocol problems, and confirms that random (or sys
A pilot factorial experiment is a small-scale, preliminary study that employs a factorial structure to simultaneously vary two or more factors across a limited number of experimental units. Its purpose is not to deliver definitive conclusions but to estimate effect sizes, within-group variance, and factor interactions,
A pilot field experiment is a small-scale, preliminary version of a planned full field experiment conducted in a naturalistic setting. It tests whether the intervention, randomisation procedure, measurement instruments, and logistical protocols are feasible before committing to a full-scale study. Results inform sample
A pilot fractional factorial experiment is a small-scale preliminary study that uses a fractional factorial design — testing only a subset of all possible factor combinations — to screen multiple factors simultaneously before committing to a full-scale investigation. It provides early estimates of effect sizes, varianc
A pilot full factorial experiment is a small-scale, complete crossing of all selected factors at all their levels, run before a definitive study to gather preliminary effect estimates, assess variability, and verify experimental logistics. It retains the complete combinatorial structure of a full factorial design — eve
A pilot multi-arm experiment is a small-scale preliminary trial that tests the feasibility, logistics, and parameter estimates needed to plan a full-scale multi-arm study. It simultaneously evaluates two or more active treatment arms alongside a control, providing early evidence on recruitment rates, retention, protoco
A pilot natural experiment is a small-scale preliminary study that exploits an existing exogenous event or policy variation to test whether a full natural experiment is viable. It preserves the core logic of natural experiments — using real-world discontinuities to approximate causal inference — while explicitly scopin
A pilot pretest-posttest experimental design is a small-scale, preliminary study that applies a pretest-posttest measurement framework to a limited sample before a full-scale experiment. Its primary goals are to assess the feasibility of procedures, estimate effect sizes for power analysis, identify instrument problems
A pilot randomized controlled trial (pilot RCT) is a small-scale, fully randomized experiment conducted before a definitive RCT to test the feasibility of study procedures, estimate key parameters such as recruitment rates and effect-size variability, and identify practical barriers. It uses the same randomization, int
A pilot single-subject experimental design (pilot SSED) is a small-scale feasibility trial applied to one or very few individuals, combining the repeated-measurement logic of single-subject experimental design with the explicit preparatory aims of a pilot study. It is used to test an intervention protocol, measurement
The Pilot Solomon Four-Group Design is a small-scale, preliminary implementation of the Solomon four-group experimental design. Its purpose is to test the feasibility and logistics of the full design before committing to a resource-intensive main study. The Solomon four-group design, introduced by Richard L. Solomon in
The Plackett-Burman design is a two-level orthogonal screening design introduced by R.L. Plackett and J.P. Burman in 1946 that allows researchers to estimate the main effect of each factor independently using the smallest possible number of experimental runs. Run counts are always multiples of four, making it exception
Postcolonial analysis is a qualitative research approach that critically examines the lasting cultural, political, epistemic, and social effects of colonialism and imperialism. Drawing on foundational works by Edward Said, Gayatri Spivak, and Homi Bhabha, it interrogates how colonial power relations are reproduced in t
The Pragmatic AB Design is a single-case experimental design that collects repeated measurements of one individual or unit across two consecutive phases: a baseline phase (A) with no intervention, followed by an intervention phase (B). Deployed in real-world, clinically feasible conditions rather than tightly controlle
The Pragmatic ABA Design is a single-subject reversal experiment conducted under real-world, naturalistic conditions rather than tightly controlled laboratory settings. It follows the classic baseline (A1) — intervention (B) — withdrawal/return-to-baseline (A2) sequence while deliberately relaxing control conditions to
The pragmatic ABAB design is a single-case experimental design that adapts the classic reversal (ABAB) logic to real-world clinical and applied constraints. It alternates between a baseline phase (A) and an intervention phase (B) twice, demonstrating experimental control through repeated phase changes while allowing fl
A pragmatic adaptive experiment is a hybrid clinical trial design that combines the real-world generalizability of pragmatic trials with the statistical flexibility of adaptive designs. It enrolls a broad, representative patient population under routine care conditions, while using pre-specified interim analyses to mod
A pragmatic control group experimental design tests whether an intervention works under routine, real-world conditions by comparing it against a control condition — typically usual care or an active comparator — rather than a tightly controlled placebo. It prioritises external validity and applicability over the intern
A pragmatic factorial experiment combines two powerful methodological frameworks: the factorial experimental design — which tests multiple intervention components simultaneously — and the pragmatic trial orientation, which prioritizes real-world applicability, broad eligibility criteria, and flexible delivery condition
A pragmatic field experiment tests whether an intervention works under real-world, routine conditions rather than under the tightly controlled settings of a laboratory or explanatory trial. It combines the pragmatic trial philosophy — prioritising external validity and decision-relevance — with field experimentation, s
A pragmatic fractional factorial experiment applies fractional factorial design principles to real-world or clinical intervention research, enabling simultaneous evaluation of multiple intervention components in a resource-efficient fraction of the full factorial runs. Popularised through the Multiphase Optimization St
A pragmatic full factorial experiment combines the complete crossing of all factor levels (the full factorial structure) with the broad eligibility criteria, flexible delivery, and real-world conditions of a pragmatic trial. Every possible combination of factors is tested simultaneously, yielding both main effects and
A pragmatic laboratory experiment is a controlled study conducted in a laboratory setting that prioritises external validity and real-world applicability over the stringent internal controls characteristic of purely explanatory experiments. Drawing on the pragmatic–explanatory continuum formalised by Schwartz and Lello
Pragmatic mixed methods design is a research approach that selects and combines quantitative and qualitative methods based on what best answers the research question, rather than adhering to a single philosophical paradigm. Rooted in the philosophical tradition of pragmatism — associated with William James, John Dewey,
A pragmatic multi-arm experiment is an experimental design that simultaneously compares three or more interventions (arms) under real-world conditions rather than tightly controlled laboratory settings. It combines the broad eligibility, flexible delivery, and effectiveness orientation of pragmatic trials with the stat
The Pragmatic Multiple Baseline Design is a single-case experimental design that staggers intervention introduction across multiple participants, settings, or behaviors in real-world conditions where strict experimental control is impractical. By relaxing some idealized constraints — such as perfectly stable baselines
A pragmatic pretest-posttest experimental design combines the before-after measurement structure of the classic pre-post design with the real-world, high-external-validity ethos of pragmatic research. Participants are assessed on relevant outcomes before an intervention is delivered in routine or naturalistic condition
A pragmatic randomized controlled trial (pRCT) tests whether an intervention works under ordinary, real-world conditions — broad eligibility, flexible delivery, and routine care settings. Participants are still randomly assigned to treatment or control, preserving causal inference, but the study is designed to reflect
Pragmatic single-subject experimental design applies the logic of single-case experimentation — repeated measurement, baseline comparison, and phase manipulation — within real-world practice settings rather than controlled laboratories. It allows practitioners and clinicians to rigorously evaluate interventions for ind
The Pragmatic Solomon Four-Group Design combines the pretest-sensitization control logic of the classic Solomon (1949) four-group structure with the broad eligibility, flexible delivery, and real-world conditions characteristic of pragmatic trials. Four groups are formed: two receive the intervention (one pretested, on
Predictive site location modeling uses machine learning algorithms (particularly maximum entropy models) to predict the probability of archaeological site occurrence across a landscape based on environmental and spatial variables. Developed for ecology but adapted for archaeology, predictive modeling identifies areas w
The pretest-posttest experimental design measures participants on the outcome variable before and after treatment, typically with random assignment to treatment and control groups. The difference between pre- and post-scores isolates the treatment effect from baseline variation, making this one of the most widely used
Program evaluation is a systematic, empirically grounded process of collecting and analyzing information about a program to determine its merit, worth, or significance. Applied across education, public health, social services, and policy, it addresses questions such as whether a program is reaching its target populatio
Qualitative research is a systematic inquiry into human experiences, meanings, behaviors, and contexts using non-numerical data (words, text, images, observations). Unlike quantitative research, which seeks to measure variables and test hypotheses numerically, qualitative research prioritizes depth, contextual richness
Qualitative-dominant case-focused mixed methods design embeds quantitative evidence inside a primarily qualitative case study framework. The case — a bounded unit such as a school, organization, or community — is examined in depth through qualitative means, while quantitative data serve a secondary, supplementary role.
A qualitative-dominant concurrent embedded mixed methods design collects qualitative and quantitative data simultaneously, but the qualitative strand carries the primary weight — it drives the research questions, generates the main findings, and frames interpretation. The quantitative strand is embedded within the larg
The qualitative-dominant explanatory sequential mixed methods design follows a two-phase sequential structure — quantitative data collected first, qualitative data collected second — while assigning dominant analytical weight to the qualitative strand. The quantitative phase surfaces statistical patterns that require d
This design begins with a substantive qualitative phase (QUAL) that drives the study, followed by a smaller quantitative phase (quan) used to test, refine, or extend qualitative findings to a broader sample. The qualitative strand holds priority in both scope and interpretation; the quantitative strand serves a confirm
Qualitative-dominant intervention mixed methods is a research design in which qualitative inquiry carries primary theoretical and interpretive weight while quantitative data provide supplementary evidence, both strands applied within an intervention or program context. The design is used when understanding the lived ex
The qualitative-dominant mixed methods matrix is a design variant in which the researcher selects and positions a specific mixed methods design within a typological matrix — organized by timing (sequential vs. concurrent) and paradigm weighting — while assigning greater priority to the qualitative strand. Quantitative
Qualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through
The qualitative-dominant multiphase mixed methods design combines multiple, sequentially or iteratively organized phases across a research program, with qualitative inquiry holding explicit priority. Quantitative data are collected in one or more supporting phases to supplement, refine, or validate the dominant qualita
Qualitative-dominant pragmatic mixed methods is a research design in which a qualitative strand carries the primary weight of the inquiry, while a smaller quantitative component adds breadth or corroboration. Grounded in pragmatism as its philosophical framework, the design treats questions of data type, sequence, and
Qualitative-dominant transformative mixed methods is a mixed methods research design in which qualitative data carry the primary evidential weight while quantitative data serve a supplementary role, and the entire inquiry is governed by a transformative theoretical framework — one committed to social justice, equity, a
Qualitative-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under stu
Quality Function Deployment (QFD) is a structured method for translating customer needs — the voice of the customer — into specific technical requirements at every stage of product or service development. Originating in Japan in the 1960s, QFD uses a matrix-based tool called the House of Quality to make customer priori
Quantitative content analysis is a systematic, replicable method for converting the manifest content of text, images, or other recorded communication into numerical data. By applying a pre-specified codebook to a defined corpus and counting or scaling the resulting categories, researchers obtain frequency distributions
Quantitative-dominant case-focused mixed methods organizes a study around one or more clearly bounded cases while assigning primary weight and inferential authority to quantitative data. Qualitative data are collected within the same case boundaries and serve an augmenting, explanatory, or contextual role rather than a
A mixed methods design in which a dominant quantitative study (survey, experiment, or other large-scale numeric inquiry) is conducted simultaneously with a smaller, embedded qualitative component. The qualitative strand serves a secondary, supporting role — such as explaining mechanisms, capturing participant experienc
The quantitative-dominant concurrent triangulation mixed methods design collects quantitative (QUAN) and qualitative (qual) data simultaneously, with quantitative data carrying the primary weight. The two strands are analyzed independently and then compared or merged to triangulate findings, with the smaller qualitativ