Evaluating the Impact of Guessing and Its Interactions With Other Test Characteristics on Confidence Interval Procedures for Coefficient Alpha

Dados Bibliográficos

ID20286547
AutoresInsu Paek (0000-0002-2552-9475, Florida State University, Tallahassee, FL, USA, autor correspondente)
Ano2016
Volume76
Fascículo2
Páginas205-230
Data de publicação2016-04-01
Open AccessSim
TipoARTICLE
PeriódicoEducational and Psychological Measurement (JOURNAL)
Identificadores do periódicoISSN: 0013-1644 • E-ISSN: 1552-3888
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164415588133
PMID29795863
OpenAlexW1596833227
IdiomaEN
Citações recebidas1
Referências citadas36

The effect of guessing on the point estimate of coefficient alpha has been studied in the literature, but the impact of guessing and its interactions with other test characteristics on the interval estimators for coefficient alpha has not been fully investigated. This study examined the impact of guessing and its interactions with other test characteristics on four confidence interval (CI) procedures for coefficient alpha in terms of coverage rate (CR), length, and the degree of asymmetry of CI estimates. In addition, interval estimates of coefficient alpha when data follow the essentially tau-equivalent condition were investigated as a supplement to the case of dichotomous data with examinee guessing. For dichotomous data with guessing, the results did not reveal salient negative effects of guessing and its interactions with other test characteristics (sample size, test length, coefficient alpha levels) on CR and the degree of asymmetry, but the effect of guessing was salient as a main effect and an interaction effect with sample size on the length of the CI estimates, making longer CI estimates as guessing increases, especially when combined with a small sample size. Other important effects (e.g., CI procedures on CR) are also discussed

Asymmetry · Combinatorics · Confidence interval · Econometrics · Estimator · Interval (graph theory) · Interval estimation · Point estimation · Sample (material) · Sample size determination · Statistics · Advanced Statistical Methods and Models · Advanced Statistical Process Monitoring · Chemistry · Mathematics · Optimal Experimental Design Methods

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