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Factor Analysis of the Minnesota Infant Development Inventory Based on a Hispanic Migrant Population

Bibliographic Data

ID20284138
AuthorsAmysue Reilly, Ronald C Eaves (Auburn University)
Year2000
Volume60
Issue2
Pages271-285
Publication date2000-04-01
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00131640021970501
OpenAlexW2136899111
LanguageEN
Citations received2
References cited20

The Minnesota Infant Development Inventory (MIDI), a parental report instrument, was completed for 168 Hispanic migrant workers’infants ranging in age from 1 to 15 months. This study analyzed MIDI scores to determine the extent to which it measures the five domains postulated by its authors. Principal axis analysis with varimax and orthotran rotations was used to obtain pattern coefficients. The scree test and a parallel analysis were used to estimate the proper numbers of factors to extract. Three solutions were presented: (a) a one-factor solution, as indicated by the parallel analysis; (b) a three-factor solution, as indicated by the scree test; and (c) a five-factor solution, as recommended by MIDI’s authors. Based on several considerations (e.g., lack of empirical support for the MIDI five domain scores, parsimony, and ease of use), the one-factor solution was judged best for infants from Hispanic migrant families until future research supports other practices

Cronbach's alpha · Developmental psychology · Factor (programming language) · MIDI · Population · Psychometrics · Statistics · Test (biology) · Varimax rotation · Child and Adolescent Psychosocial and Emotional Development · Computer Science · Demography · Early Childhood Education and Development · Language Development and Disorders · Mathematics · Psychology

  • Parallel Analysis with Unidimensional Binary Data

    Open Access•Li‐Jen Weng, Li-Jen Weng et al.•Educational and Psychological…•2005

  • Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis

    Open Access•W Holmes Finch•Educational and Psychological…•2020

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    Open Access•Ledyard R Tucker, Raymond F Koopman et al.•Psychometrika•1969

  • A Rationale and Test for the Number of Factors in Factor Analysis

    Open Access•John L Horn•Psychometrika•1965

  • Factor Analytic Evidence for the Construct Validity of Scores

    Open Access•Bruce Thompson, Larry G Daniel•Educational and Psychological…•1996

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    J P Guilford•Psychological Bulletin•1974

  • Pre-School screening

    Open Access•P David Kurtz•Children and Youth Services Review•1984

Citations per year0.1
Citation span2005 - 2020 (16)
Highly citedNo

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