Measurement errors in multivariate measurement scales

By Lauri Tarkkonen, Kimmo Vehkalahti. 2005

90 citations recorded by the source corpus.

Our aim is to construct a general measurement framework for analyzing the effects of measurement errors in multivariate measurement scales. We define a measurement model, which forms the core of the framework. The measurement scales in turn are often produced by methods of multivariate statistical analysis. As a central element of the framework, we introduce a new, general method of estimating the reliability of measurement scales. It is more appropriate than the classical procedures, especially in the context of multivariate analyses. The framework provides methods for various topics related to the quality of measurement, such as assessing the structural validity of the measurement model, estimating the standard errors of measurement, and correcting the predictive validity of a measurement scale for attenuation. A proper estimate of reliability is a requisite in each task. We illustrate the idea of the measurement framework with an example based on real data.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fcf83e40077fd11c82c52452197b8cb75f430dbb

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In Statistics and Probability

Citations in the corpus

Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements (2016, background): “…contribution of each dimension to the total variance explained is estimated, obtaining the so-called hierarchical ω (ωh) which enables us to correct the worst overestimation bias of α with multidimensional data (see Tarkkonen and Vehkalahti, 2005; Zinbarg et al., 2005; Revelle and Zinbarg, 2009).”
Estimation of reliability: a better alternative for Cronbach's alpha (2006, methodology): “In the measurement framework of Tarkkonen and Vehkalahti [17] the measurement scale is defined in broad terms, connecting the framework with the methods of multivariate statistical analysis [17, p.”
Assessing students’ experiences of teaching–learning environments and approaches to learning: Validation of a questionnaire in different countries and varying contexts (2013, methodology): “Thus, the internal consistency in the present study was measured with a more accurate method, General Reliability (Raykov 1997; Tarkkonen and Vehkalahti 2005; Vehkalahti et al. 2007).”