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Ferrando, Pere J. – Applied Psychological Measurement, 2004
This article discusses the rationale of an item response theory (IRT) model, based on Thurstone scaling, for personality measurement and suggests procedures for (a) estimating the location and slope parameters of the person response curve (PRC), (b) assessing the precision of the estimates, and (c) assessing the model-data fit. The relations…
Descriptors: Personality Measures, Item Response Theory, Evaluation Methods, Reliability
Dorans, Neil J. – Applied Psychological Measurement, 2004
How do scores from different tests relate to each other? Three types of score linkage are discussed: equating, concordance, and prediction of expected scores. Statistical indices, in conjunction with rational considerations, are needed to determine whether the highest level of linkage attainable between scores from two "tests" is the…
Descriptors: Prediction, College Entrance Examinations, Scores, Achievement Tests
Zinbarg, Richard E.; Yovel, Iftah; Revelle, William; McDonald, Roderick P. – Applied Psychological Measurement, 2006
The extent to which a scale score generalizes to a latent variable common to all of the scale's indicators is indexed by the scale's general factor saturation. Seven techniques for estimating this parameter--omega[hierarchical] (omega[subscript h])--are compared in a series of simulated data sets. Primary comparisons were based on 160 artificial…
Descriptors: Computation, Factor Analysis, Reliability, Correlation

Conger, Anthony J.; And Others – Applied Psychological Measurement, 1979
The WISC-R was investigated by using measures of profile (multivariate) reliability to determine its most reliable dimensions and the precision and similarity of the multivariate structure across age groups. The structure of the WISC-R subscales was stable across age groups. Two strategies for the interpretation of WISC-R profiles are offered.…
Descriptors: Age Differences, Elementary Secondary Education, Factor Structure, Intelligence

Humphreys, Lloyd G. – Applied Psychological Measurement, 1996
The reliability of a gain is determined by the reliabilities of the components, the correlation between them, and their standard deviations. Reliability is not inherently low, but the components of gains in many investigations make low reliability likely and require caution in the use of gain scores. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement

Williams, Richard H.; Zimmerman, Donald W. – Applied Psychological Measurement, 1996
The critiques by L. Collins and L. Humphreys in this issue illustrate problems with the use of gain scores. Collins' examples show that familiar formulas for the reliability of differences do not reflect the precision of measures of change. Additional examples demonstrate flaws in the conventional approach to reliability. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement

Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note shows that, under conditions specified by Levin and Subkoviak (TM 503 420), it is not necessary to specify the reliabilities of observed scores when comparing completely randomized designs with randomized block designs. Certain errors in their illustrative example are also discussed. (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Levin, Joel R.; Subkoviak, Michael J. – Applied Psychological Measurement, 1978
Comments (TM 503 706) on an earlier article (TM 503 420) concerning the comparison of the completely randomized design and the randomized block design are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified. (See also TM 503 708). (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note continues the discussion of earlier articles (TM 503 420, TM 503 706, and TM 503 707), comparing the completely randomized design with the randomized block design. (CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Rounds, James B., Jr.; And Others – Applied Psychological Measurement, 1978
Two studies compared multiple rank order and paired comparison methods in terms of psychometric characteristics and user reactions. Individual and group item responses, preference counts, and Thurstone normal transform scale values obtained by the multiple rank order method were found to be similar to those obtained by paired comparisons.…
Descriptors: Higher Education, Measurement, Rating Scales, Response Style (Tests)

De Lisi, Richard; Smith, Jeffrey K. – Applied Psychological Measurement, 1979
The reliability of Oltman's Portable Rod and Frame Test (PRFT) was assessed using 60 first-, third-, and fifth-grade children. Various reliability estimates ranged from .90 to .97. Age and sex differences were also examined. (Author/BH)
Descriptors: Age Differences, Cognitive Style, Cognitive Tests, Elementary Education
Lucke, Joseph F. – Applied Psychological Measurement, 2005
Psychometric theory focuses primarily on tests that are homogeneous, measuring only one attribute of a psychosocial entity. However, the complexity of psychosocial behavior often requires tests that are heterogeneous, measuring more than one attribute. In this presentation, reliability and internal consistency are extended to heterogeneous tests…
Descriptors: Psychometrics, Item Response Theory, Test Reliability, Psychological Studies

Hendel, Darwin D. – Applied Psychological Measurement, 1977
Results of a study to determine whether paired-comparisons i intransitivity is a function of intransitivity associated with specific stimulus objects rather than a function of the entire set of stimulus objects suggested that paired-comparisons intransitivity relates to individual differences variables associated with the respondent. (Author/CTM)
Descriptors: Association Measures, High Schools, Higher Education, Multidimensional Scaling

Whitely, Susan E. – Applied Psychological Measurement, 1979
A model which gives maximum likelihood estimates of measurement error within the context of a simplex model for practice effects is presented. The appropriateness of the model is tested for five traits, and error estimates are compared to the classical formula estimates. (Author/JKS)
Descriptors: Error of Measurement, Error Patterns, Higher Education, Mathematical Models

Ceurvorst, Robert W.; Krus, David J. – Applied Psychological Measurement, 1979
A method for computation of dominance relations and for construction of their corresponding hierarchical structures is presented. The link between dominance and variance allows integration of the mathematical theory of information with least squares statistical procedures without recourse to logarithmic transformations of the data. (Author/CTM)
Descriptors: Analysis of Variance, Information Theory, Least Squares Statistics, Mathematical Models