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Interactive Effect of Gender and Self-Efficacy on Mathematics Achievement amongst Students with Mild Intellectual Disability in Calabar Education in Cross River State of Nigeria Implications for Inclusive Education

2025· article· W7117320043 on OpenAlexvenueno aff
Ekpenyong Effiong Ibok, Raymond Ogbebe Ogar, Paul Agbade Olofu, Blessing Bassey Anam, Columbus Deku Bessong, Edmond Asu Oduk, Napoleon Osang Bessong, Paul Imeh Amos, James Abua Ewa, Amos William Obeten, Elizabeth Odije Patrick, Grace Ukpabio Masor, Raphael Asu Owan, Victor Bassey Akpan, Augustine Undiugweundemaye Ani, Godwin Assanshure Afiene, Edeh Stephen Olenye, Innocent Ushi Igba

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2025
Typearticle
Language
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Pearson product-moment correlation coefficientAchievement testData collectionDescriptive statisticsAcademic achievementResearch designSpecial educationIntellectual disabilityPopulation

Abstract

fetched live from OpenAlex

Background: Due to the poor academic achievement of identified SS1 students with mild intellectual disabilities in public secondary schools, this research investigates how gender interacts with self-efficacy regarding mathematics achievement. The goal is to improve these students' academic achievement in mathematics. Studies on the interactive effects of gender and self-efficacy on mathematics achievement in Nigeria are scarce. Objective: This paper examines the interactive effect of gender and self-efficacy on the mathematics achievement of SS1 students with mild intellectual disabilities in the Calabar Education Zone of Cross River State, Nigeria. Methodology: An ex-post facto design was adopted. The study population consisted of 4,031 Senior Secondary (SSI) students with mild intellectual disabilities in the Calabar Education Zone of Cross River State, Nigeria. A sample of 538 students was selected (286 males and 252 females). The instruments used for data collection were the Mathematics Achievement Test (MAT) and a Mathematics Self-Efficacy Rating Scale Questionnaire (MSERSQ). The reliability coefficients were strong (KR-20 = 0.83, Cronbach's Alpha = 0.79) for the MAT and MSERSQ, respectively, indicating good reliability. The study was guided by two research hypotheses. Descriptive statistics were used to describe the collected data, while analysis of covariance and Pearson product-moment correlation were used to test the first hypothesis, and a two-way ANOVA was used to test the second hypothesis. Results: The analysis using Pearson product-moment correlation indicated a significant positive correlation between self-efficacy and mathematics achievement among students with mild intellectual disabilities (r = 0.656, n = 538, p < 0.05). The results of the two-way ANOVA indicated a statistically significant interaction between gender and self-efficacy on mathematics achievement (F = 13.670, n = 538, p = 0.000). This interaction suggests that the influence of self-efficacy on mathematics achievement varies by gender. Specifically, male students (mean = 31.818, SD = 8.320) tended to achieve higher mathematics scores than female students (mean = 27.389, SD = 7.736) did, given their self-efficacy levels. Conclusion: The study found a significant positive relationship between self-efficacy and mathematics achievement, and an interaction between gender and self-efficacy among students with mild intellectual disabilities. Unique Contribution: This paper highlights the unique influence of self-efficacy and the interactive effect of gender and self-efficacy on students with mild intellectual disabilities' mathematics achievement. Recommendation: The government should ensure that sufficient qualified counselors are recruited to help raise students' self-efficacy and guide them accordingly.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.022
GPT teacher head0.400
Teacher spread0.378 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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