Denoting the Base‐free Measure of Change

Messick, Samuel

doi:10.1002/j.2333-8504.1980.tb01225.x

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…In investigations of change, an estimate of p (l $ is a useful and important sup-plement to the information provided by the measure of individual change. 7 Recently, Messick (1981) and Tucker (1979) have properly focused their mathematical analyses on p{,p rather than p XlD . A thoughtful empirical investigation of the correlation between change and initial status is the analysis of intellectual growth in Thorndike (1966).…”

Section: Correlation Between Change and Initial Statusmentioning

confidence: 99%

A growth curve approach to the measurement of change.

Rogosa¹,

Brandt²,

Zimowski³

1982

Psychological Bulletin

975

782

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The measurement of individual change is approached from the standpoint of individual time paths and statistical models for individual change. Other distinctive features of this paper are (a) the consideration of both statistical and psychometric properties of measures of individual change and (b) the examination of measures of change for data with more than two observations on each individual. Many results and conclusions are at odds with the previous literature in the behavioral sciences.

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Section: Correlation Between Change and Initial Statusmentioning

confidence: 99%

A growth curve approach to the measurement of change.

Rogosa¹,

Brandt²,

Zimowski³

1982

Psychological Bulletin

975

782

View full text Add to dashboard Cite

show abstract

“…This attention has been mostly negative and has focused primarily on two issues: (a) the reliability (or unreliability) of the difference score and its inverse relationship to the correlation between X 2 and X 1 and (b) the correlation between the difference score and initial status ( X 1 ) and its implications for using the difference score to study correlates of change. To resolve these problems a number of alternatives to the difference score have been recommended, including the base free measure of change (Tucker, Damarin, & Messick, 1966; Messick, 1981), the residualized change score (Webster & Bereiter, 1963), and Lord’s (1956) regression-based estimate of true change. Zimmerman and Williams (1982b) have provided a recent comparison of several alternatives.…”

Section: Two Perspectives On Quantitative Changementioning

confidence: 99%

Analysis of change: Modeling individual growth.

Francis¹,

Fletcher²,

Stuebing³

et al. 1991

Journal of Consulting and Clinical Psychology

247

192

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Research on change is complicated by problems of measurement and analysis stemming from a conceptualization of change as a series of accumulating increments and decrements. In contrast, individual growth curves depict change as a continuous process underlying individual performance. These two perspectives are reviewed, and some problems with the use of difference scores in the study of change are clarified. Traditional methods are contrasted with growth curve analysis for the purposes of measuring change and studying its correlates. An illustrative example of the use of growth curves is provided from research on recovery of cognitive function following pediatric closed head injury.

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“…Moreover, although either method can be used with more than two waves of data, these methods yield different results and differ in their assumptions. In general, the MANOVA assumptions are considered to be most plausible (O'Brien 61Kaiser, 1985).ANALYSIS OF CHANGE…”

mentioning

confidence: 99%

Analysis of change: Modeling individual growth.

Francis¹,

Fletcher²,

Stuebing³

et al. 1992

Methodological Issues &Amp; Strategies in Clinical Research.

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The measurement and analysis of change plays a central role in many areas of clinical research. It would be difficult to provide an exhaustive list of clinical research endeavors in which this process is central. Many problems associated with the measurement and analysis of change are common to all such endeavors, including areas as diverse as examining the effectiveness of treatments for specific behavioral disorders, investigating developmental outcomes in impaired pediatric or adult populations, or identifying cognitive and emotional sequellae of acquired disorders. All these areas present researchers with difficult questions concerning the measurement and analysis of change. Ironically, some of these questions have been made

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Denoting the Base‐free Measure of Change

Cited by 7 publications

References 9 publications

A growth curve approach to the measurement of change.

A growth curve approach to the measurement of change.

Analysis of change: Modeling individual growth.

Analysis of change: Modeling individual growth.

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