Assessing Black intelligence: National and international perspectives on standardization sample appropriateness

Graves, Scott L.

doi:10.1177/01430343221146558

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…This was based on the normative performance of only 200 children and was later referred to as a “mental age level” in the United States, although the original sample was from France. This procedure of using a standardization sample became the conventional practice for developing intelligence tests moving forward and has since faced criticism ( Graves et al 2021 ; Graves 2022 ). Binet’s original scale was adapted and translated many times and, by 1939, there were 77 versions.…”

Section: Models and Measures Since Spearmanmentioning

confidence: 99%

Modern Assessments of Intelligence Must Be Fair and Equitable

Holden,

Tanenbaum

2023

J. Intell.

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Historically, assessments of human intelligence have been virtually synonymous with practices that contributed to forms of inequality and injustice. As such, modern considerations for assessing human intelligence must focus on equity and fairness. First, we highlight the array of diversity, equity, and inclusion concerns in assessment practices and discuss strategies for addressing them. Next, we define a modern, non-g, emergent view of intelligence using the process overlap theory and argue for its use in improving equitable practices. We then review the empirical evidence, focusing on sub-measures of g to highlight the utility of non-g, emergent models in promoting equity and fairness. We conclude with suggestions for researchers and practitioners.

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Section: Models and Measures Since Spearmanmentioning

confidence: 99%

Modern Assessments of Intelligence Must Be Fair and Equitable

Holden,

Tanenbaum

2023

J. Intell.

View full text Add to dashboard Cite

show abstract

“…This was based on the normative performance of only 200 children and was later referred to as a "mental age level" in the United States, although the original sample was from France. This procedure of using a standardization sample became the conventional practice for developing intelligence tests moving forward and has since faced criticism (Graves et al, 2021, Graves, 2022a). Binet's original scale was adapted and translated many times and by 1939 there were 77 versions.…”

Section: Models and Measures Since Spearmanmentioning

confidence: 99%

Modern Assessments of Intelligence Must Be Fair and Equitable

Holden,

Tanenbaum

2023

Preprint

View full text Add to dashboard Cite

Historically, assessments of human intelligence have been virtually synonymous with practices that contributed to forms of inequality and injustice. As such, modern considerations for assessing human intelligence must focus on equity and fairness. First, we highlight the array of diversity, equity, and inclusion concerns in assessment practices and discuss strategies for addressing them. Next, we define a modern, non-g, emergent view of intelligence using Process Overlap Theory and argue for its use in improving equitable practices. We then review empirical evidence focusing on sub-measures of g to highlight the utility of non-g, emergent models in promoting equity and fairness. We conclude with suggestions for researchers and practitioners.

show abstract

Assessing Black intelligence: National and international perspectives on standardization sample appropriateness

Cited by 2 publications

References 32 publications

Modern Assessments of Intelligence Must Be Fair and Equitable

Modern Assessments of Intelligence Must Be Fair and Equitable

Modern Assessments of Intelligence Must Be Fair and Equitable

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