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Domingue, Benjamin Webre – ProQuest LLC, 2012
In psychometrics, it is difficult to verify that measurement instruments can be used to produce numeric values with the desirable property that differences between units are equal-interval because the attributes being measured are latent. The theory of additive conjoint measurement (e.g., Krantz, Luce, Suppes, & Tversky, 1971, ACM) guarantees…
Descriptors: Psychometrics, Evaluation Methods, Error of Measurement, Intervals
Ferrando, Pere J. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
This article proposes a procedure, based on a global statistic, for assessing intra-individual consistency in a test-retest design with a short-term retest interval. The procedure is developed within the framework of parametric item response theory, and the statistic is a likelihood-based measure that can be considered as an extension of the…
Descriptors: Item Response Theory, Intervals, Psychometrics, Testing
Laenen, Annouschka; Alonso, Ariel; Molenberghs, Geert; Vangeneugden, Tony; Mallinckrodt, Craig H. – Applied Psychological Measurement, 2010
Longitudinal studies are permeating clinical trials in psychiatry. Therefore, it is of utmost importance to study the psychometric properties of rating scales, frequently used in these trials, within a longitudinal framework. However, intrasubject serial correlation and memory effects are problematic issues often encountered in longitudinal data.…
Descriptors: Psychiatry, Rating Scales, Memory, Psychometrics
Woods, Carol M. – Psychological Methods, 2007
This research focused on confidence intervals (CIs) for 10 measures of monotonic association between ordinal variables. Standard errors (SEs) were also reviewed because more than 1 formula was available per index. For 5 indices, an element of the formula used to compute an SE is given that is apparently new. CIs computed with different SEs were…
Descriptors: Intervals, Computation, Measurement Techniques, Error of Measurement
Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2005
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral…
Descriptors: Correlation, Predictor Variables, Measures (Individuals), Error of Measurement