Cited by 24Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceEducational Assessment and Pedagogy

Measurement of change and the law of initial values: A computer simulation study.

Jamieson, John·1995·Educational and Psychological Measurement

Abstract

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.

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Crossref · 10.1177/0013164495055001004

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Authors
Jamieson, J.
Affiliations
Lakehead University (CA)
Corresponding author
Jamieson, John
Venue
Educational and Psychological Measurement
Published
1995-02
Volume
55
Issue
1
Pages
38-46
ISSN
  • 0013-1644 (ISSN-L)
  • 1552-3888
OpenAlex
W2125179194
Cited by
24
References
15
Citations by year
2022: 4 · 2021: 2 · 2019: 2 · 2018: 5 · 2016: 1 · 2013: 1 · 2012: 2
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
Educational and Psychological Measurement (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Education › Educational Assessment and Pedagogy
Keywords
measurement of change, law of initial values, gain score, measurement error, floor and ceiling effects, skewness, variance reduction, statistical power

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