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bias
___is the systematic deviation between what is true about a phenomenon and the evidence a study produces, introduced by flaws in design, data collection, analysis, reasoning, or dissemination. Unlike random error, bias pulls results consistently in one direction, so it cannot be remedied by larger samples alone—it must be prevented or corrected at its source
critical appraisal and meta-research
___ is the systematic assessment of a study’s methodological quality, risk of
bias, and reporting transparency to judge how much confidence we can place in its findings.
___—also called “the science of science”—studies research methods, reporting
practices, and the publication ecosystem itself to identify strengths, weaknesses, and
pathways to more reliable knowledge. Together, they form the quality-control dashboard of
modern scholarship.
social science relevance
___ is the extent to which research both advances scholarly knowledge
and addresses real-world social problems. Work is relevant when its findings inform decisions, challenge common sense, or enrich public debate. Social scientists pursue relevance by analyzing patterned human behavior, institutions, and cultural meanings—domains that lie between the law-seeking ambitions of the natural sciences and the text-centered interpretations of the humanities. Achieving relevance typically requires practical significance, collaboration through engaged scholarship, and an openness to methodological pluralism that draws on insights from interdisciplinary research.
empirical / PPDAC cycle
___—often rendered in data-science texts as the ___—is a
structured, iterative model that guides researchers through five linked phases: Problem, Plan,
Data, Analysis, and Conclusion. The cycle emphasises that rigorous inquiry is not a one-off
linear march but a loop: the Conclusion of one study typically raises new questions, restarting
the cycle and refining theory
reflexivity and positionality
___ is the researcher’s explicit awareness of their own standpoint—the intersecting
social positions (race, gender, class, nationality, disciplinary background) that locate them
within broader power dynamics and shape every phase of the inquiry, from gaining access to interpreting data. Practising ___ means engaging in a continuous, critical interrogation of how that ___, along with underlying assumptions and technical choices, influences methodological decisions and the knowledge produced. Reflexive scholars maintain an audit trail—a documented record of identity memos, analytic notes, and decision logs—so that readers can trace how insights emerged and assess their credibility
reproducibility and replication
___ is the capacity for an independent scholar to obtain the same analytic results from the same evidence and fully transparent procedures.
___ is the capacity for independent investigators to reach consistent scientific conclusions with new evidence
case study
A ___ is an in-depth, context-sensitive investigation of a clearly bounded system—
such as a person, organisation, event, policy, or community—undertaken to explain how and
why processes and outcomes unfold in that setting. The same design logic can serve any
philosophical worldview (positivist, post-positivist, interpretivist, constructivist, pragmatist, or
transformative) so long as the researcher makes that stance explicit and aligns data-collection
practices, quality criteria, and claims accordingly. Case studies are also widely applied in
evaluation research, assessing how well a real-world programme or intervention works and
generating actionable lessons.
observational methods
___ are systematic, often unobtrusive approaches to studying behaviour
“in the wild.”
triangulation
___ is the deliberate use of multiple data sources, methods, investigators, or
theoretical lenses to examine the same phenomenon so findings can be corroborated, clarified,
or productively challenged. By comparing strands of evidence, researchers seek to bolster
credibility, the qualitative counterpart to quantitative validity, and to achieve a level of cross-
checking akin to reliability in measurement
unobtrusive methods
___ are systematic, non-reactive strategies that study behaviour indirectly,
drawing on trace data such as worn carpet fibres or server logs, analysing pre-existing
secondary data (e.g., censuses, court filings), mining digital traces—tweets, clickstreams,
geo-metadata—within larger archival records, and examining material culture objects
(artefacts, artworks, consumer goods). Because the researcher never asks questions in real
time, these methods observe people’s actions without altering them, allowing investigators to
examine both content and its context long after the fact
causality and causal models
___ lays out how a cause (X) produces an effect (Y), specifying direct effects,
explanatory mechanisms (or mediation), conditioning moderators/contexts, and possible
spurious associations that can create misleading links. Quantitative researchers usually
translate the model into equations, path diagrams, or directed-acyclic graphs (DAGs);
qualitative researchers express it as process-tracing chains or realist context–mechanism–
outcome (CMO) configurations. Whatever the format, the goal is the same: make
assumptions explicit so they can be scrutinised, tested, or refined.
thick description
___ is a qualitative reporting style in which the researcher records social action
in rich contextual detail and then interprets its layered meanings so readers grasp both what
happened and what the action meant to the actors involved. By linking behaviour to culture,
history, and local understandings, thick description transforms raw observation into an
analytically useful account of social reality.
operationalization
___ is the process of translating abstract concepts into measurable variables that can be observed and analyzed in research.
measurement validity
___ is the degree to which a study’s operational indicators genuinely capture the intended construct—so that observed relationships reflect reality, not flaws in the
instrument.
coding
___ is the systematic process of assigning meaningful labels (codes) to segments of data
thematic analysis
___ is a systematic, reflexive approach for identifying, analysing, and
reporting patterned meaning—called themes—within a data set. Analysts move iteratively
from initial codes (tight labels applied to data excerpts) toward richer semantic-level
descriptions or deeper latent-level interpretations, using cycles of reflexive iteration until
conceptual saturation is reached and the story of the data feels both compelling and
complete.
grounded theory
___ is an inductive, comparative research strategy in which data collection,
coding, memo-writing, and theoretical sampling proceed iteratively until a substantive
theory—grounded in, and emerging from, the data—accounts for the observed variation in a
core category
storytelling with data
___ is the purposeful, audience-centred practice of weaving narrative arcs,
visual evidence, and clear call-to-action cues so that quantitative or qualitative findings not
only inform but also persuade and inspire decision-making
ethnography
___ is an immersive, long-term style of social inquiry that relies on participant observation, in-depth interviews, and other fieldwork techniques to generate thick description of a cultural world from an insider’s point of view, all the while practising rigorous reflexivity about how the researcher’s own presence shapes what is seen and said.