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Meta-analysis: on average, undergraduate students’ intelligence is merely average

2024· preprint· en· W4396563564 on OpenAlexaff
Bob Uttl, Victoria Violo, Lacey Gibson

Bibliographic record

VenueScienceOpen Research · 2024
Typepreprint
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsWestern UniversityOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaMount Royal University
Fundersnot available
KeywordsComputer scienceMathematics educationPsychology

Abstract

fetched live from OpenAlex

Background: According to a widespread belief, the average IQ of university students is 115 to 130 IQ points, that is, substantially higher than the average IQ of the general population ( M = 100, SD = 15). We traced the origin of this belief to obsolete intelligence data collected in 1940s and 1950s when university education was the privilege of a few. Examination of more recent IQ data indicate that IQ of university students and university graduates dropped to the average of the general population. The decline in students’ IQ is a necessary consequence of increasing educational attainment over the last 80 years. Today, graduating from university is more common than completing high school in the 1940s. Method: We conducted a meta-analysis of the mean IQ scores of college and university students samples tested with Wechsler Adult Intelligence Scale between 1939 and 2022. Results: The results show that the average IQ of undergraduate students today is a mere 102 IQ points and declined by approximately 0.2 IQ points per year. The students’ IQ also varies substantially across universities and is correlated with the selectivity of universities (measured by average SAT scores of admitted students). Discussion: These findings have wide-ranging implications. First, universities and professors need to realize that students are no longer extraordinary but merely average, and have to adjust curricula and academic standards. Second, employers can no longer rely on applicants with university degrees to be more capable or smarter than those without degrees. Third, students need to realize that acceptance into university is no longer an invitation to join an elite group. Fourth, the myth of brilliant undergraduate students in scientific and popular literature needs to be dispelled. Fifth, estimating premorbid IQ based on educational attainment is vastly inaccurate, obsolete, not evidence based, and mere wishful thinking. Sixth, obsolete IQ data or tests ought not to be used to make high-stakes decisions about individuals, for example, by clinical psychologists to opine about the intelligence and cognitive abilities of their clients.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0040.009
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0280.012

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 head0.524
GPT teacher head0.544
Teacher spread0.019 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations4
Published2024
Admission routes1
Has abstractyes

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