Psychometrics is Datametrics: the Test is not Reliable
By B. Thompson, T. Vacha-haase. 2000
378 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ce1046a943bfdd0df4d80c83d79b1cd8c91da41b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- B. Thompson
- Craig K. Enders
- John C. Caruso
- R. Henson
- T. Vacha-haase
- D. J. Vonderharr-Carlson
- Doyoung Kim
- R. D. De Ayala
In Management Science and Operations Research
- B. Thompson
- R. Henson
- T. Vacha-haase
- Robert M. Capraro
- John C. Caruso
- Mary Margaret Capraro
- Anthony J. Onwuegbuzie
- Shuyan Sun
In Statistics and Probability
- R. Henson
- B. Thompson
- T. Vacha-haase
- Shuyan Sun
- Craig K. Enders
- Anthony J. Onwuegbuzie
- John C. Caruso
- L. Daniel
Citations in the corpus
- Variability and Prediction of Measurement Error in Kolb’s Learning Style Inventory Scores a Reliability Generalization Study (2002, background): “The variability of the Figure 1 distributions underscores the point that reliability should be examined for the data in hand in almost all cases (Henson, 2001; Pedhazur & Schmelkin, 1991; Reinhardt, 1996; Thompson, 1994; Thompson & Vacha-Haase, 2000).”
- The Impact of Missing Data on Sample Reliability Estimates: Implications for Reliability Reporting Practices (2004, background): “Reliability Reporting Practices Because reliability is not an indelible property of a test, Thompson and Vacha-Haase (2000) argued that “scholars conducting either substantive (i.e., nonmeasurement focused) or measurement research should be expected to report explicit and direct evidence of score…”
- A note on the score reliability for the Satisfaction With Life Scale: an RG study (2007, background): “These sample specific properties of reliability are foundational to Thompson and Vacha-Haase’s (2000) discussion of reliability in terms of score reliability rather than test reliability.”
- Score Reliability: A Retrospective Look Back at 12 Years of Reliability Generalization Studies (2011, background): “Reliability inures as a property to scores, and not to tests (Thompson & Vacha-Haase, 2000).”
- Reliability Generalization of Working Alliance Inventory Scale Scores (2002, neutral): “These 25 studies were, from a percentage standpoint, comparable to, if not slightly higher than, those reported in other published RG studies (Thompson, 1994; Thompson & Vacha-Haase, 2000; Vacha-Haase et al., 1999).”
- Measurement Error of Scores on the Mathematics Anxiety Rating Scale across Studies (2001, methodology): “Therefore, researchers ought to both report and interpret their obtained reliabilities in practically all studies (cf. Henson et al., in press; Thompson, 1994; Thompson & Vacha-Haase, 2000; Vacha-Haase, 1998; Wilkinson & APA Task Force on Statistical Inference, 1999).”
- A Framework for Reporting and Interpreting Internal Consistency Reliability Estimates (2002, background): “As advocated by an increasing number of researchers (e.g., Simmelink & Vacha-Haase, 1999; Thompson & Vacha-Haase, 2000; Vacha-Haase, 1998), it is essential that researchers estimate and report coefficients of internal consistency for their own data.”
- Variability in Pretest-Posttest Correlation Coefficients by Student Achievement Level. Washington, DC: U.S. Department of Education, National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences (2011, background): “Pretest-posttest correlation coefficients are positively related to the total variability in test scores and hence to the heterogeneity of students in the sample (Thompson and Vacha-Haase 2000).”
- Reliability of Scores from the Eysenck Personality Questionnaire: A Reliability Generalization Study (2001, methodology): “Therefore, depending on one’s interpretation of the issues raised by Sawilowsky (2000) and Thompson and Vacha-Haase (2000), either could be appropriately employed as criterion variables in parametric statistical analyses.”
- Assessing the Reliability of the Beck Anxiety Inventory Scores (2005, background): “The issue of whether reliability is a property of the instrument or a property of the instrument’s scores has been discussed for a substantial part of the 20th century as well as more recently in Educational and Psychological Measurement (e.g., Sawilowsky, 2000; Thompson & Vacha-Haase, 2000).”
- Sample Compositions and Variabilities in Published Studies versus Those in Test Manuals: Validity of Score Reliability Inductions (2000, background): “Once this mind-set has been communicated, measurement training becomes less relevant for doctoral curriculum (Aiken et al., 1990; Thompson & Vacha-Haase, 2000).”
- Preservice Teachers' Educational Beliefs and Their Perceptions of Characteristics of Effective Teachers (2002, background): “As recommended by many researchers (e.g., Onwueg buzie, in press; Onwuegbuzie & Daniel, 2000; Thompson & Vacha-Haase, 2000), reliability coefficients always should be reported for the data at hand.”
- Reliability Methods: A Note on the Frequency of Use of Various Types (2000, background): “Thompson and Vacha-Haase (2000) explained these issues in detail.”
- The Dyadic Adjustment Scale: A Reliability Generalization Meta-Analysis (2006, methodology): “It should be noted that reliability is a property of test scores and not measurement instruments themselves; that is, to say that tests are not reliable and data are reliable (Gronlund & Linn, 1990; Thompson & Vacha-Haase, 2000).”
- From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. (2014, background): “This signifies that reliability is not a property of a test per se, but rather a property of a scale applied in a given context to a particular population (Miller, 1995; Thompson & Vacha-Haase, 2000).”