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Record W2145123799 · doi:10.5539/ijps.v3n1p17

A Comparison of the Reading Motivation and Reading Attitude of Students with Dyslexia and Students without Dyslexia in the Elementary Schools in Ilam, Iran

2011· article· en· W2145123799 on OpenAlexvenueno aff
Zeinab Mihandoost, Habibah Elias, Prof. Sharifah, Mahmud Rosnaini

Bibliographic record

VenueInternational Journal of Psychological Studies · 2011
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsDyslexiaPsychologyReading (process)PopulationDevelopmental psychologyMathematics educationReliability (semiconductor)Linguistics

Abstract

fetched live from OpenAlex

The purpose of this research is to compare reading motivation and reading attitude of students with dyslexia andstudents without dyslexia. The population of the study included 138 students with dyslexia studying inelementary schools in Ilam, Iran. Within this population, the researcher randomly selected 30 students for thepilot study. The remaining 108 dyslexic students were selected as the sample size but only 80 students withdyslexia participated in this study as the parents of the other and 28 parents’ of students with dyslexia did notallowed their children to participate. The researcher also selected 80 normal students who had been homogenizedand compared using the attitude and motivation scales. The reliability of the reading motivation and readingattitude scales was confirmed. The content validity of the scales was investigated using the judgment of 10psychology experts. The analysis of the findings through independent t-test showed a significant differencebetween the students with dyslexia and the students without dyslexia at ?<0.000.

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)0.001
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 score0.018
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.169
GPT teacher head0.480
Teacher spread0.311 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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