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Measurement of Change and the Law of Initial Values

A Computer Simulation Study

Bibliographic Data

ID20285083
AuthorsJohn Jamieson (Lakehead University, corresponding author)
Year1995
Volume55
Issue1
Pages38-46
Publication date1995-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164495055001004
OpenAlexW2125179194
LanguageEN
Citations received6
References cited11

Computer simulations were used to examine the effect of a negative correlation between baseline and change on two measures of change: gain scores and covariance. When a negative correlation resulted from decreasing variance from pretest to posttest, as might be due to the presence of floors or ceilings (the Law of Initial Values) or skewness, gain scores were less powerful than covariance. However, when a negative correlation resulted from measurement error alone, the relative power of gain scores and covariance was unaffected. It was concluded that the correlation between baseline and change, by itself, does not invalidate the use of gain scores. However, when the negative correlation is accompanied by a decrease in variance from pretest to posttest, covariance is a superior index of change

Analysis of covariance · Analysis of variance · Correlation · Covariance · Skewness · Statistics · Variance (accounting) · Housing Market and Economics · Mathematics · Psychology · School Choice and Performance · Urban, Neighborhood, and Segregation Studies

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Unique citing works6
Citations per year0,23
Citation span2000 - 2019 (20)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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