ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Analyse Visuelle Longitudinale×Analyse de contenu×
DomaineQualitatifQualitatif
FamilleProcess / pipelineProcess / pipeline
Année d'origine1970s–2000s (consolidated with digital methods in 2000s)Systematised through Krippendorff's methodology work; 4th edition 2018
Auteur d'origineDeveloped across visual sociology and visual ethnography traditions; key contributions from Gillian Rose, Sarah Pink, and Howard BeckerKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
TypeQualitative longitudinal designQualitative / mixed-method research technique
Source fondatriceRose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943087Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
AliasLVA, longitudinal visual research, temporal visual analysis, repeated visual analysisİçerik Analizi, systematic content coding, quantitative content analysis
Apparentées35
RésuméLongitudinal 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 analysis to the temporal dimension of images, LVA goes beyond what a single-moment visual study can reveal, making visible patterns of development or decay that are otherwise invisible in a snapshot.Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 1 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Longitudinal Visual Analysis · Content Analysis. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare