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Record W2587054857 · doi:10.1002/pits.21999

A NATIONAL INVESTIGATION OF SCHOOL PSYCHOLOGY TRAINERS’ ATTITUDES AND BELIEFS ABOUT EVIDENCE‐BASED PRACTICES

2017· article· en· W2587054857 on OpenAlexaboutno aff
Linda A. Reddy, Susan G. Forman, Karen Callan Stoiber, Jorge E. González

Bibliographic record

VenuePsychology in the Schools · 2017
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsTrainerPsychologyPsychological interventionLikert scaleEvidence-based practiceMedical educationAccreditationIntervention (counseling)Educational psychologyScale (ratio)Applied psychologyPedagogyMedicineDevelopmental psychologyAlternative medicine

Abstract

fetched live from OpenAlex

The present investigation examined 460 school psychology trainers’ attitudes and beliefs about the conditions for the education and training of evidence‐based practices (i.e., assessments and interventions) in training programs in the United States and Canada using an online survey. Trainer attitudes and beliefs about education and training in evidence‐based practices were measured using a 24‐item five‐point Likert scale. Overall, trainers had positive views of evidence‐based practices, as well as program and organizational support for such training. However, trainers rated the education and training of evidence‐based assessments more favorably than evidence‐based interventions. In general, trainer characteristics nor program accreditation status, model, or type of degree offered were found to influence trainers’ perceptions about evidence‐based practices. However, trainers with prior experience teaching evidence‐based intervention courses were found to have more supportive views of evidence‐based assessments and interventions than those without such experience. Implications for future training and school practice are discussed.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.251
GPT teacher head0.499
Teacher spread0.248 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations18
Published2017
Admission routes1
Has abstractyes

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