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Record W2940720356

Expression and Level of Test Anxiety in a Sample of Elementary Students.

2019· article· en· W2940720356 on OpenAlexvenueno aff
Patricia A. Lowe

Bibliographic record

VenueHigher Education Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsWorryTest anxietyPsychologyAnxietyTest (biology)Measurement invarianceConfirmatory factor analysisClinical psychologySample (material)Developmental psychologyConstruct (python library)PsychometricsTest validityStructural equation modelingPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

This study examined the expression and level of test anxiety in a sample of 1221 elementary school students. The Test Anxiety Scale for Elementary Students (TAS-E), a new multidimensional measure developed based on recent conceptualizations of the test anxiety construct, was administered to elementary school-age students. The TAS-E consists of four test anxiety (Physiological Hyperarousal, Social Concerns, Task Irrelevant Behaviors, and Worry) subscales and a Total Test Anxiety scale. The results of four multi-group confirmatory factor analyses and latent mean analyses supported invariance between groups in the four multi-group comparisons conducted and found grade and gender differences in the level and expression of test anxiety among elementary students in grades 2-5 on the TAS-E. This is the first measurement invariance study to include students as young as grade 2 on a new multidimensional measure of test anxiety. Implications of the findings of the study for mental health professionals and educators who work with elementary school-age students 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)0.000
metaresearch head score (Gemma)0.000
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 score0.005
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.392
Teacher spread0.309 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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