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Record W1973811243 · doi:10.3109/13625187.2011.600479

Sexual behaviour research using the survey method: A critique of the literature over the last six years

2011· review· en· W1973811243 on OpenAlex
Brea L. Malacad, Gretchen C. Hess

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe European Journal of Contraception & Reproductive Health Care · 2011
Typereview
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCompromiseTerminologyConfidentialitySexual orientationMedicineReproductive healthPsychologySocial psychologyPopulationSocial scienceSociologyComputer science

Abstract

fetched live from OpenAlex

OBJECTIVES: The survey method is often used to identify trends in sexual behaviour and attitudes. In order for research conclusions to be valid, however, data gathered from surveys must be unambiguous. For the current paper we reviewed survey research of sexual behaviour published in recent years. Our objective was to identify common methodological issues and provide recommendations for how to address them. METHOD: We examined 62 articles, published in four prominent sexual health journals over the past six years. We evaluated each article based on how adequately its authors addressed four recurring methodological issues: ambiguous terminology, heterosexual bias, procedures that compromise honesty in responses, and survey language/literacy considerations. RESULTS: The review revealed some recurring issues: 47% of the studies failed to address the question of sexual orientation, sexual behaviour terminology was explicitly defined in only 32% of questionnaires, fewer than 5% of surveys clarified whether the sexual encounters in question were consensual, and 21% of the articles contained no mention of anonymity or confidentiality for participants. DISCUSSION: These results reveal common issues with survey data that compromise the validity of findings. In order to have confidence in research conclusions and recommendations, it is important that these issues be addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.081
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.761
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.011
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.336
GPT teacher head0.553
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it