Examining academic performance across gender differently: Measurement invariance and latent mean differences using bias-corrected bootstrap confidence intervals
Open accessAbstract
The aim of this study was threefold: First, to examine the dimensionality of the construct of General Academic Ability (GAA) at the subscale level providing additional insights over and above on the conceptualization of the construct. Second, to explore different degrees of measurement invariance of the GAA across gender using more recent advancements in the examination of Measurement Invariance (i.e., Bias-Corrected bootstrap Confidence Intervals). Third, to examine gender differences across the different facets of the GAA at the latent mean level. The sample consisted of 1,800 high school graduates who applied for higher education in Saudi Arabia. The results from the analysis indicated that the hierarchical model with one higher-order factor (i.e., general academic ability) and four lower-order cognitive factors (i.e., verbal ability, quantitative ability, scholastic aptitude, and GPA) exhibited an excellent fit to the data. In terms of the measurement invariance hypothesis, it was found that the hierarchical model exhibits full configural and metric invariance and partial scalar invariance. Finally, using the Latent Mean Difference procedure, the results showed gender differences in the Verbal and GPA domains. Although significant differences were also found in the Scholastic aptitude domain, this finding is not stable due to several non-invariant items within the domain. In both cases, females scored higher than males. Finally, regarding the higher-order factor (GAA), the results showed that females scored higher than males. There were no significant differences in the Quantitative domain.
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There is no significant influence of gender on academic performance.
“This finding corroborates broader trends in the literature, which showed no significant influence of gender on academic performance [45,46].”
From Relationships Between Physical Activity, Sleep, Psychological Well-Being, and Academic Performance Among Native American College Students (2026) · cites this paper as [45]
The Discussion reports significant gender differences in GPA and verbal performance, as well as in the higher-order general academic ability factor, with females scoring higher. Although it found no significant difference in the quantitative domain, that narrower result does not support a general claim of no significant gender influence on academic performance. (LLM, conf=0.90)
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- Authors
- Tsaousis, I., & Alghamdi, M. H.
- Affiliations
- National and Kapodistrian University of Athens (GR)
- King Saud University (SA)
- Corresponding author
- Tsaousis, Ioannis
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2022-08-05
- Volume
- 13
- Pages
- 896638-896638
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC9388777
- OpenAlex
- W4289889305
- Cited by
- 40
- References
- 67
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 10 · 2023: 5
- FWCI
- 4.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- gender differences, measurement invariance, latent mean differences, higher-order factor structure, verbal ability, quantitative ability, academic aptitude, GPA, university applicants, Saudi Arabia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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