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Record W2465993610 · doi:10.14288/1.0055082

The emotional block in mathematics : a multivariate study

2010· article· en· W2465993610 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsnot available
Fundersnot available
KeywordsBlock (permutation group theory)Multivariate statisticsMathematicsMultivariate analysisStatisticsCombinatorics

Abstract

fetched live from OpenAlex

Tie purpose of this study was to study the relationships between a group of affective variables, associated with the notion of an "emotional block" in mathematics, and achievement in mathematics. Five independent variables - were considered: achievement responsibility (locus of control), measured by the Intellectual Achievement Besponsibility Scale; anxiety in mathematics, value of mathematics to society, self-concept of ability to learn mathematics and enjoyment of mathematics, measured by scales from the Sandman battery; and value of mathematics for oneself, measured by an author constructed scale. The three dependent achievement variables were computation, measured by the Stanford Achievement Test and concepts and problem solving measured by the Canadian Test of Basic Skills. Nonlinear and interactive hypotheses were suggested by the theory of Achievement Motivation. The scales were administered to 1033 students at the grade six level. The scores were standardized within each class to remove class effects. The sample was randomly split into two samples, one to be retained for cross validation. No significant difference was found between the variance-covariance matrix of males and that of the females. The data were subsequently pooled. Stepwise regression analysis indicated that self-concept alone explained approximately 20% of the achievement variance. In the case of computation, mathematics anxiety was also included accounting for an additional 2%. Principal component analysis and orthogonal rotation of the set of affective scales revealed three factors. These were interpreted as a motivational factor (loadings from self-concept, anxiety and enjoyment), a value factor (loadings from the two value scales), and an achievement responsibility factors Factor scores for each student were calculated. Using these scores, stepwise regression showed that, with the exception of the value factor entering into the equation for computation, the motivation factor was the only one retained. None of the non-linear or interactive hypotheses were significant. The above analyses were repeated using the cross validation samplel. All the findings were confirmed. It was concluded that the group of three variables, self-concept of ability, enjoyment and anxiety in mathematics should be included in studies dealing with motivation in mathematics. It was suggested that self-concept could be interpreted as the cognitive component of anxiety and that enjoyment as the emotional component. It was also suggested that attempts to alter anxiety in mathematics could be made by altering self-concept and enjoyment.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.922

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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