Evidence map›Paper›PMID 36976143›Full record

ArticleJournal of Intelligence2023

It Runs in the Family: Testing for Longitudinal Family Flynn Effects.

Linda Wänström, Patrick O'Keefe, Sean A P Clouston, Frank D Mann, Graciela Muniz-Terrera, Stacey Voll, Yun Zhang, Scott M Hofer, Joseph L Rodgers

Abstract read
In one paragraph

Article in Journal of Intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Linda WänströmDepartment of Computer and Information Science, Linköping University, 581 83 Linköping, Sweden.ORCID 0000-0002-6590-3847
Patrick O'KeefeDepartment of Neurology, Oregon Health and Science University, Portland, OR 97239, USA.
Sean A P CloustonProgram in Public Health and Department of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-6124-0329
Frank D MannProgram in Public Health and Department of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-5450-0620
Graciela Muniz-TerreraOhio University Heritage College of Osteopathic Medicine (OUHCOM), Dublin, OH 43016, USA.
Stacey VollInstitute of Aging and Lifelong Health, University of Victoria, Victoria, BC V8N 1V8, Canada.
Yun ZhangProgram in Public Health and Department of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-9837-1365
Scott M HoferDepartment of Neurology, Oregon Health and Science University, Portland, OR 97239, USA.
Joseph L RodgersDepartment of Psychology and Human Development, Vanderbilt University, Nashville, TN 37232, USA.

Funding

Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
NIA NIH HHS R01 AG067621
6 · The paper itself

Abstract

The Flynn effect refers to increases over time in measured (particularly fluid) intelligence of approximately 3 IQ points per decade. We define the Flynn effect at the family level, using longitudinal data and two new family-level cohort definitions. Multilevel growth curve analyses of the National Longitudinal Survey of Youth 1979 data showed that children in families with later-born mothers had higher average PIAT math scores, and lower average reading comprehension scores and growth, in young and middle childhood. Children in families where the first child was born later had higher average PIAT math, reading recognition, and reading comprehension scores, as well as larger developmental growth. The latter family-level Flynn effects were of higher magnitudes than the usual individual-level Flynn effect found in previous studies. Our results, showing family level-intercept and slope Flynn effects for both maternal birthyear and first child birthyear, have implications for research aiming to explain the Flynn effect.

Indexed as

family Flynn effectintelligenceIQmultilevel growth curve modelsNLSY

Identifiers

PMID36976143
PMCPMC10057072

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.