The Longitudinal Guttman Simplex: A New Methodology for Measurement of Dynamic Constructs in Longitudinal Panel Studies

Linda Marie Collins, Norman Cliff, Clyde W. Dent

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Traditional psychometric procedures can be inade quate for the measurement of dynamic constructs in longitudinal panel studies. This paper introduces an al ternative based on the longitudinal Guttman simplex (LGS) model, a measurement model developed espe cially for dynamic constructs measured longitudinally. The LGS is a model of cumulative, unitary develop ment. It is cumulative in the sense that as persons ac quire new skills (or abilities, or opinions), earlier ob tained skills are retained; it is unitary in the sense that all persons progress through a sequence of skills in the same skill order. CL, a consistency index that gives the researcher a measure of the extent to which the LGS model axioms are obeyed in a given dataset, is introduced. By making use of this consistency index, the researcher can develop scales uniquely sensitive to cumulative, unitary development. LGSCLUS, an explor atory procedure to find longitudinal Guttman scales in empirical datasets, is described. An artificial data study is reported, the purpose of which was to test the performance of LGSCLUS under controlled conditions. The artificial data study showed that, in general, LGSCLUS recovers longitudinal Guttman scales with a high degree of accuracy. There remains a need for measurement procedures for dynamic constructs exhib iting types of development other than cumulative and unitary. Index terms: Dynamic constructs, Gutt man simplex, Longitudinal panel studies, Mathemati cal models, Measurement theory, Scaling, Three-set data.

Original languageEnglish (US)
Pages (from-to)217-230
Number of pages14
JournalApplied Psychological Measurement
Volume12
Issue number3
DOIs
StatePublished - Jan 1 1988

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Longitudinal Studies
methodology
Research Personnel
Aptitude
Psychometrics
measurement theory
measurement procedure
human being
scaling
psychometrics
Datasets
ability
performance

All Science Journal Classification (ASJC) codes

  • Social Sciences (miscellaneous)
  • Psychology (miscellaneous)

Cite this

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title = "The Longitudinal Guttman Simplex: A New Methodology for Measurement of Dynamic Constructs in Longitudinal Panel Studies",
abstract = "Traditional psychometric procedures can be inade quate for the measurement of dynamic constructs in longitudinal panel studies. This paper introduces an al ternative based on the longitudinal Guttman simplex (LGS) model, a measurement model developed espe cially for dynamic constructs measured longitudinally. The LGS is a model of cumulative, unitary develop ment. It is cumulative in the sense that as persons ac quire new skills (or abilities, or opinions), earlier ob tained skills are retained; it is unitary in the sense that all persons progress through a sequence of skills in the same skill order. CL, a consistency index that gives the researcher a measure of the extent to which the LGS model axioms are obeyed in a given dataset, is introduced. By making use of this consistency index, the researcher can develop scales uniquely sensitive to cumulative, unitary development. LGSCLUS, an explor atory procedure to find longitudinal Guttman scales in empirical datasets, is described. An artificial data study is reported, the purpose of which was to test the performance of LGSCLUS under controlled conditions. The artificial data study showed that, in general, LGSCLUS recovers longitudinal Guttman scales with a high degree of accuracy. There remains a need for measurement procedures for dynamic constructs exhib iting types of development other than cumulative and unitary. Index terms: Dynamic constructs, Gutt man simplex, Longitudinal panel studies, Mathemati cal models, Measurement theory, Scaling, Three-set data.",
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The Longitudinal Guttman Simplex : A New Methodology for Measurement of Dynamic Constructs in Longitudinal Panel Studies. / Collins, Linda Marie; Cliff, Norman; Dent, Clyde W.

In: Applied Psychological Measurement, Vol. 12, No. 3, 01.01.1988, p. 217-230.

Research output: Contribution to journalArticle

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