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Record W2045014844 · doi:10.2215/cjn.02130214

Quality of Survey Reporting in Nephrology Journals

2014· review· en· W2045014844 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2014
Typereview
Languageen
FieldSocial Sciences
TopicSurvey Methodology and Nonresponse
Canadian institutionsLondon Health Sciences CentreMcMaster UniversityInstitute for Clinical Evaluative SciencesWestern University
FundersOsteoporosis Canada
KeywordsMedicineNephrologyFamily medicineRespondentInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Survey research is an important research method used to determine individuals' attitudes, knowledge, and behaviors; however, as with other research methods, inadequate reporting threatens the validity of results. This study aimed to describe the quality of reporting of surveys published between 2001 and 2011 in the field of nephrology. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The top nephrology journals were systematically reviewed (2001-2011: American Journal of Kidney Diseases, Nephrology Dialysis Transplantation, and Kidney International; 2006-2011: Clinical Journal of the American Society of Nephrology) for studies whose primary objective was to collect and report survey results. Included were nephrology journals with a heavy focus on clinical research and high impact factors. All titles and abstracts were screened in duplicate. Surveys were excluded if they were part of a multimethod study, evaluated only psychometric characteristics, or used semi-structured interviews. Information was collected on survey and respondent characteristics, questionnaire development (e.g., pilot testing), psychometric characteristics (e.g., validity and reliability), survey methods used to optimize response rate (e.g., system of multiple contacts), and response rate. RESULTS: After a screening of 19,970 citations, 216 full-text articles were reviewed and 102 surveys were included. Approximately 85% of studies reported a response rate. Almost half of studies (46%) discussed how they developed their questionnaire and only a quarter of studies (28%) mentioned the validity or reliability of the questionnaire. The only characteristic that improved over the years was the proportion of articles reporting missing data (2001-2004: 46.4%; 2005-2008: 61.9%; and 2009-2011: 84.8%; respectively) (P<0.01). CONCLUSIONS: The quality of survey reporting in nephrology journals remains suboptimal. In particular, reporting of the validity and reliability of the questionnaire must be improved. Guidelines to improve survey reporting and increase transparency are clearly needed.

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)0.395
metaresearch head score (Gemma)0.159
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.772
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3950.159
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0000.001
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
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 head0.724
GPT teacher head0.641
Teacher spread0.082 · 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