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Record W2041027398 · doi:10.1177/0734282912449444

Moving Beyond Achievement Data

2012· article· en· W2041027398 on OpenAlexaff
John Burger, Anna Nadirova, Kateryna V. Keefer

Bibliographic record

VenueJournal of Psychoeducational Assessment · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsQueen's UniversityAlberta Advanced Education
Fundersnot available
KeywordsPsychologyPsychosocialScale (ratio)Psychological resilienceMeasurement invarianceConfirmatory factor analysisExploratory factor analysisReliability (semiconductor)Academic achievementMathematics educationPsychometricsApplied psychologyStructural equation modelingDevelopmental psychologySocial psychologyStatistics

Abstract

fetched live from OpenAlex

The Student Orientation to School Questionnaire (SOS-Q) is a multidimensional student-centered assessment tool for measuring psychosocial facilitators of student engagement. The SOS-Q is based in research on the self-system models of motivation and direct student input on perceived supports and barriers for high school completion. The current study examined internal measurement properties (factor structure and reliability) of the upper-elementary and high school versions of the SOS-Q in two samples of Grade 4 ( N = 615) and Grades 7 and 9 ( N = 1,356) students, as an important step in the process of scale development and validation. Exploratory and confirmatory factor analyses (EFAs and CFAs) converged on a stable and reliable measurement structure for both versions of the scale, with common factors related to safe and caring school, peer relationships, self-confidence, external and internal resilience, and for the high school version only—perceived utility of school and extracurricular activities. Results are discussed in terms of incorporating the SOS-Q into comprehensive school assessment systems that go beyond the academic achievement and behavioral data and that can have important policy and program implications.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.071
GPT teacher head0.448
Teacher spread0.376 · 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.

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

Citations12
Published2012
Admission routes1
Has abstractyes

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