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Record W275598541 · doi:10.1177/070674370705201110

Book Review: Mental Health Research, Choosing Methods in Mental Health Research: Mental Health Research from Theory to Practice

2007· article· en· W275598541 on OpenAlexaffvenueabout
David L. Streiner

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicFocus Groups and Qualitative Methods
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMental healthPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Choosing Methods in Mental Health Research: Mental Health from Theory to Practice Mike Slade and Stefan Priebe, editors. New York (NY): Routledge, 2006. 298 p. US$53.95. Reviewer rating: Very good Review by David L Streiner, PhD, C Psych Toronto, Ontario It is unusual for a book's title to understate its scope and to potentially limit its intended audience. However, Choosing Methods in Mental Health does not do justice to the contents of this book. Of the 21 chapters, only 7 are devoted to research methods. The uniqueness of the book is found in the 9 chapters in the second section, called Consumers of Research, and the final 4 chapters in the Generating High-Impact Research section. The first chapter of the first section, written by the editors, sets the stage for the rest of the book; Who Is For? makes the case that the traditional model of researchers writing scholarly articles to be read only by other researchers, can (and often does) lead to misinterpretation of the findings by the public and by policy-makers. It argues that researchers need to come to grips with the fact that experts are no longer the sole purveyors of research findings (if they ever were) and that the rise of consumerism has led people to rely on other sources of information, which may be fallacious. They use the example of the measles, mumps, and rubella (MMR) vaccine; despite very strong evidence, based on more than 2 million children, that there is no link between MMR and autism a case-series of 12 children claiming such a link was sufficient to result in widespread opposition to vaccination by parents. The next 7 chapters cover a variety of research methods used in mental health research, moving from the studies of individuals to populations: single-case experimental designs, conversation analysis, discourse analysis, grounded theory, randomized controlled trials, systematic reviews and metaanalysis, and surveys. Each chapter follows a common format: a brief description of the method, assumptions and theoretical framework, strengths and limitations of the method, the types of questions that can be answered with the technique, a brief example, and finally how the method can be used in future mental health research. Although each of the authors is an expert in their field, the chapters are balanced and fair, and avoid the implication that the method being described is the only road to truth. The second section addresses the issue of how research can influence consumers of research. As with the first section, it begins with the individual (primary care physicians), and moves on to community mental health teams, the public perception of mental illness, the media, and finally governmental policy. These chapters also follow a common format: the types of evidence that have salience, an example of a study that was successful in changing practice or policy, as well as what does not work with an example. …

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.

How this classification was reachedexpand

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)0.477
metaresearch head score (Gemma)0.009
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.4770.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0090.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.412
GPT teacher head0.648
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes3
Has abstractyes

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