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Record W1540604787

Test-Anxiety Program and Test Gains with Nursing Classes.

2010· article· en· W1540604787 on OpenAlexaboutno aff
Ginger Evans, Gary Ramsey, Richard Driscoll

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTest anxietyWorryTest (biology)AnxietyNursingPsychologyNurse educationIntervention (counseling)MedicineClinical psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Nursing programs can be highly stressful, and nursing students have been found to be more test-anxious than other students. The present investigation examines a practical program to reduce test-anxiety impairment and improve academic performance for a significant number of highly anxious nursing students. Incoming nursing students were screened using the Westside Test Anxiety scale, and half (42 of 84) were identified as having highor moderately-high anxiety and were randomly assigned to an Treatment or an information Control group. Students in both groups were introduced to their material and encouraged to review it. Students took the comprehensive Evolve/HESI exit exam in the early spring. The Treatment group showed a significant 12+ percentile gain over the Control group on the HESI (p<.05), and a 9 percentile gain over the Controls on their spring GPAs The active control treatment protocol used here is seen to provide a cost-effective intervention to improve test performance. Circumstances permitting, the authors recommend that nursing programs include provisions for highly anxious students. Test-Anxiety Program and Test Gains 2 Approximately 16%—20% of students are found to have high test anxiety, according to various studies (cf. Ergene, 2003), and a Canadian survey finds that adolescents worry about tests and schoolwork more than about any other aspect of their lives (McGuire et al. 1987). Nursing students are found to be even more test anxious than are students in other fields. Nursing students face the same pressures as other students, and in addition many are also under the impression that an inadvertent mistake might seriously harm a patient as well jeopardize their own careers. Surveys of some 600 nursing students in two separate colleges identified just over 35% with high test anxiety (Driscoll et al., 2009; Wheeler, 2010). Highly test-anxious students are found to score about 12 percentile points below their low anxiety counterparts (Cassady & Johnson, 2002; Hembree, 1988; McDonald, 2001), and the anxiety itself is thought to be a major contributing factor (cf. Lee, 1999). The current study is to assess the feasibility and benefits of a broadly implemented test-anxiety treatment program.

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 score0.277
Threshold uncertainty score0.576

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 head0.017
GPT teacher head0.339
Teacher spread0.322 · 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

Citations10
Published2010
Admission routes1
Has abstractyes

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