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Hierarchical coding framework for qualitative analysis of expert interview transcripts within the Beyond the Multiplex research project, listing NVivo nodes and thematic categories related to leisure activities, film consumption practices, audience characteristics, and cinema provision.
Project: Beyond the Multiplex
Research area: Film and cinema audiences
Methodology: Qualitative research
Method: Expert interviews
Analysis method: Qualitative coding
Software: NVivo
Document type: Coding scheme
Data source: WP6 expert interview transcripts
Research component: Work Package 6 (WP6)
Main themes: Leisure activities; film viewing practices; audiences; cinema provision
Referenced organisation: British Film Institute (BFI)
Analytical structure: Hierarchical node classification
Content elements: Activities; audiences; film-related work; cultural participation; media consumption
Coding categories include: Watching films; reading; music; theatre; sports; socialising; audience characteristics; audience development; cinema programming
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The genetic and environmental hierarchical structure of anxiety and depression in the UK Biobank
Year: 2026
Region / city: UK
Topic: Genetics, Mental Health
Document Type: Research Study
Organization / Institution: King’s College London, Université Laval
Author: Genevieve Morneau-Vaillancourt, Jonathan R. I. Coleman, Kirstin L. Purves, Rosa Cheesman, Christopher Rayner, Gerome Breen, Thalia C. Eley
Target Audience: Researchers, Academics, Healthcare Professionals
Period of Action: Not specified
Approval Date: Not specified
Date of Changes: Not specified
Note: Contextual Description
Technical Appendix: Hierarchical Clustering
Year: 2011
Region / City: Not specified
Topic: Hierarchical Clustering, PCMH Recognition
Document Type: Technical Appendix
Organization: Not specified
Author: Not specified
Target Audience: Researchers, policymakers, healthcare professionals
Period of validity: Not specified
Date of approval: Not specified
Date of modifications: Not specified
Supplemental Tables 1–3: Hierarchical Linear Modeling Analyses of Depression Symptom Trajectories from Grade 6
Type: Supplemental statistical tables
Methodology: Hierarchical Linear Modeling (HLM)
Statistical Models: Linear and quadratic growth models
Level 1 Variables: Intercept, Time, Time × Time
Level 2 Variables: Mothers’ BDI, Sex, Acceptance, Psychological Control, Firm Control
Outcome Variables: Sad Mood, Anhedonia, Irritability, Sleep Problems, Fatigue, Appetite/Weight Changes, Psychomotor Disturbance, Concentration/Indecision, Low Self-Esteem/Guilt, Suicidal Ideation
Population: Youth beginning in grade 6
Maternal Measure: Beck Depression Inventory (BDI)
Sex Coding: −.5 = boys, .5 = girls
Multiple Testing Correction: Benjamini–Hochberg procedure
Reported Statistics: Parameter estimates, standard errors, p-values, variance estimates, deviance statistics
Time Coding: Intercept represents symptom level in grade 6
Hierarchical Structure and Coding System of IMDRF Annexes A to G
Year: 2020
Region / Organization: IMDRF
Subject: Medical Device Adverse Event Terminology
Document Type: Coding Guide / Terminology Reference
Annexes Covered: A, B, C, D, E, F, G
Authoring Group: IMDRF AE Working Group
Audience: Medical device regulators, terminology specialists
Hierarchy Details: Terms in Annex A, C, D, F, G occur once; Annex B has no hierarchy; Annex E terms may appear at multiple levels
Columns Included: Level 1 Term, Level 2 Term, Level 3 Term, Code, CodeHierarchy, Definition, Non-IMDRF Code/Term, Status, Status Description, Primary Category, Secondary Category (E only)
Purpose: Standardizing term definitions and hierarchical coding for adverse events in medical devices
Topics: NVivo WP6 hierarchical