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Direct linkStone, Gregory Ethan; Koskey, Kristin L. K.; Sondergeld, Toni A. – Educational and Psychological Measurement, 2011
Typical validation studies on standard setting models, most notably the Angoff and modified Angoff models, have ignored construct development, a critical aspect associated with all conceptualizations of measurement processes. Stone compared the Angoff and objective standard setting (OSS) models and found that Angoff failed to define a legitimate…
Descriptors: Cutting Scores, Standard Setting (Scoring), Models, Construct Validity
Ahmad, Tunku Badariah Tunku; Madarsha, Kamal Basha; Zainuddin, Ahmad Marzuki; Ismail, Nik Ahmad Hisham; Nordin, Mohamad Sahari – Australasian Journal of Educational Technology, 2010
The first aim of the present study is to validate an extended technology acceptance model (TAME) on the data derived from the faculty members of a university in an ongoing, computer mediated work setting. The study extended the original TAM model by including an intrinsic motivation component--computer self efficacy. In so doing, the study…
Descriptors: Structural Equation Models, Self Efficacy, Motivation, Foreign Countries
Saderholm, Jon; Ronau, Robert; Brown, E. Todd; Collins, Gary – School Science and Mathematics, 2010
The Diagnostic Teacher Assessment in Mathematics and Science (DTAMS) was developed to measure the content knowledge and pedagogical content knowledge of middle-school teachers. Its reliability and validity were initially established by reviewing national standards for content and use of expert question writing teams and reviewers. DTAMS was…
Descriptors: Structural Equation Models, Mathematics Achievement, Pedagogical Content Knowledge, Item Response Theory
Girard, Todd A.; Christensen, Bruce K. – Psychological Assessment, 2008
The correlation between a short-form (SF) test and its full-scale (FS) counterpart is a mainstay in the evaluation of SF validity. However, in correcting for overlapping error variance in this measure, investigators have overattenuated the validity coefficient through an intuitive misapplication of P. Levy's (1967) formula. The authors of the…
Descriptors: Error of Measurement, Computation, Psychiatric Services, Correlation
Herzog, Walter; Boomsma, Anne; Reinecke, Sven – Structural Equation Modeling: A Multidisciplinary Journal, 2007
According to Kenny and McCoach (2003), chi-square tests of structural equation models produce inflated Type I error rates when the degrees of freedom increase. So far, the amount of this bias in large models has not been quantified. In a Monte Carlo study of confirmatory factor models with a range of 48 to 960 degrees of freedom it was found that…
Descriptors: Monte Carlo Methods, Structural Equation Models, Effect Size, Maximum Likelihood Statistics
Bowles, Tyler J.; Jones, Jason – Journal of College Student Retention: Research, Theory & Practice, 2004
Single equation regression models have been used to test the effect of Supplemental Instruction (SI) on student retention. These models, however, fail to account for the two salient features of SI attendance and retention: (1) both SI attendance and retention are categorical variables, and (2) are jointly determined endogenous variables. Adopting…
Descriptors: School Holding Power, Economics Education, Supplementary Education, Academic Persistence
