1966
DOI: 10.1007/bf02289517
|View full text |Cite
|
Sign up to set email alerts
|

A base-free measure of change

Abstract: A model for the measurement of the discrepancy between two scores is presented and discussed as a paradigm for the study of growth or experimentally produced change. The model assumes two tests or measures differing in complexity, and it analyzes the true difference between the test scores into a component that is entirely dependent on the first or base-line test and a second component that is entirely independent of it. Equations for estimating both components are given and these are compared with other measu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
122
0
1

Year Published

1967
1967
2008
2008

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 207 publications
(123 citation statements)
references
References 20 publications
0
122
0
1
Order By: Relevance
“…Following classic methods in the literature, 40,41 preimagery scores were included as a covariate to control for 'baseline' variability, yielding baseline-adjusted change scores. Change scores were used not only to control for baseline levels, but to avoid multiple comparisons and their attendant inflation of Type I error probability that would be necessitated in a repeated measures approach.…”
Section: Discussionmentioning
confidence: 99%
“…Following classic methods in the literature, 40,41 preimagery scores were included as a covariate to control for 'baseline' variability, yielding baseline-adjusted change scores. Change scores were used not only to control for baseline levels, but to avoid multiple comparisons and their attendant inflation of Type I error probability that would be necessitated in a repeated measures approach.…”
Section: Discussionmentioning
confidence: 99%
“…37,38 Change scores were used to avoid multiple comparisons, and their attendant inflation of Type I error probability, that would be necessitated in a repeatedmeasures approach. 38 These outcomes were then assessed using factorial analyses of variance (ANOVA), entering DRD2 and SLC6A3 genotype status (presence vs absence) as predictors.…”
Section: Discussionmentioning
confidence: 99%
“…Residualized change scores are referred to as "base-free" measures of change (Tucker et al, 1966) and are viewed as superior to simple pretest -posttest difference scores (Veldman and Brophy, 1974). Residualized change scores are a standard statistical technique and have been used in examining predictors of change in children's physical activity (Sallis et al, 1999).…”
Section: Methods 2 Combined Change Scoresmentioning
confidence: 99%