Measurement error and reliability are two important psychometric properties for large-scale assessments. Generalizability theory has often been used to identify sources of error and to estimate score reliability. The complicated nature of sparse matrix data collection designs in some assessments, however, can cause challenges in conducting generalizability analyses. The present study examines p...

Parenting was observed in videotaped interactions in 30 families referred for child conduct problems. Generalizability coefficients and the impact of varying numbers of raters were estimated. Two measurement designs were compared: All raters observed all families ("crossed" design) and a different rater observed each family ("nested" design). The crossed design provided higher generalizability ...

Through the lens of Heidegger’s analysis of equipment, this study observes ‘software reuse’ – a popular phenomenon in the world. It presents an alternative conceptual view of the software artefact as ‘equipment’. This view provides a theoretical underpinning to this prominent practice to recognize software artefacts, as equipment. Employing the case study method, this study reports preliminary ...

The present paper is a critique of quantitative studies of literature. It is argued that such studies are involved in an act of reification, in which, moreover, fundamental ingredients of the texts, e.g. their (highly important) range of figurative meanings, are eliminated from the analysis. Instead a concentration on lower levels of linguistic organization, such as grammar and lexis, may be ob...

Most modeling approaches lie in either of the two categories: physics-based or data-driven. Recently, a third approach which is combination these deterministic and statistical models emerging for scientific applications. To leverage developments, our aim this perspective paper centered around exploring numerous principle concepts to address challenges (i) trustworthiness generalizability develo...