Measurement of Change in Learning

2012 ◽  
Keyword(s):  
Measurement Of Change

scholarly journals Controlling response dependence in the measurement of change using the Rasch model

2017 ◽  
Vol 27 (12) ◽  
pp. 3709-3725 ◽  
Author(s):  
David Andrich
Keyword(s):  
Rasch Model ◽  
Real Data ◽  
Repeated Measurements ◽  
Measurement Of Change ◽  
Location Parameters ◽  
Response Dependence ◽  
The Individual ◽  
First Time ◽  
The Rasch Model ◽  
Research And Policy

The advantages of using person location estimates from the Rasch model over raw scores for the measurement of change using a common test include the linearization of scores and the automatic handling of statistical properties of repeated measurements. However, the application of the model requires that the responses to the items are statistically independent in the sense that the specific responses to the items on the first time of testing do not affect the responses at a second time. This requirement implies that the responses to the items at both times of assessment are governed only by the invariant location parameters of the items at the two times of testing and the location parameters of each person each time. A specific form of dependence that is pertinent when the same items are used is when the observed response to an item at the second time of testing is affected by the response to the same item at the first time, a form of dependence which has been referred to as response dependence. This paper presents the logic of applying the Rasch model to quantify, control and remove the effect of response dependence in the measurement of change when the same items are used on two occasions. The logic is illustrated with four sets of simulation studies with dichotomous items and with a small example of real data. It is shown that the presence of response dependence can reduce the evidence of change, a reduction which may impact interpretations at the individual, research, and policy levels.

The Sensitivity of the Beck Depression Inventory to Changes of Symptomatology

1974 ◽  
Vol 125 (585) ◽  
pp. 184-185 ◽  
Author(s):  
D. A. W. Johnson ◽  
B. B. Heather
Keyword(s):  
General Practice ◽  
Clinical Research ◽  
Beck Depression Inventory ◽  
Depressive Mood ◽  
Measurement Of Change ◽  
Practice Population ◽  
Absolute Measure

Despite the popularity of the Beck Depression Inventory (Beck et al., 1961), only Salkind (1969) has attempted to validate this instrument for a general practice population. For some purposes, particularly clinical research, measurement of change in a depressive mood is more important than an absolute measure. So far only Little and McPhail (1973) have considered this aspect of use.

Unreliability of difference scores: A paradox for measurement of change.

1975 ◽  
Vol 82 (1) ◽  
pp. 85-86 ◽  
Author(s):  
John E. Overall ◽  
J. Arthur Woodward
Keyword(s):  
Difference Scores ◽  
Measurement Of Change

The measurement of change in volume on solution

1929 ◽  
Vol 6 (6) ◽  
pp. 1144 ◽  
Author(s):  
E. Roger Washburn
Keyword(s):  
Measurement Of Change

scholarly journals How Response Shift May Affect the Measurement of Change in Fatigue

2000 ◽  
Vol 20 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Mechteld R.M Visser ◽  
Ellen M.A Smets ◽  
Mirjam A.G Sprangers ◽  
Hanneke J.C.J.M de Haes
Keyword(s):  
Response Shift ◽  
Measurement Of Change

THE MEASUREMENT OF CHANGE IN CONSUMPTION

1989 ◽  
Vol 3 (1) ◽  
pp. 49-54
Author(s):  
YONG-HO BAEK
Keyword(s):  
Measurement Of Change
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