Rating Scale Model

TL;DR: The validation of two scales constructed to measure pre-university students' changing disposition to enter Higher Education and to further study mathematically-demanding subjects is described.

TL;DR: The authors explored the measurement of various pedagogical and learning aspects of students' transition into higher education and found consistent patterns in the process of alienation from mathematics as well as some systemic mechanisms that can help alleviate that.

TL;DR: In this paper, the authors used the use of Rasch modeling to develop and validate an instrument measuring self-efficacy in tutoring children in primary mathematics (SETcPM).

TL;DR: In this paper, a latent trait measurement model in which ordered response categories are both parameterized and scored with successive integers is investigated and applied to a summated rating or Likert questionnaire.

TL;DR: In this article, the authors present maximum likelihood equations for the estimation of the population parameters directly from the observed responses; i.e., without estimating an ability parameter for each subject, and provide asymptotic standard errors and tests of fit, computing approximations, and details of four special cases: a nonparametric approximation, a normal solution, a resolution of normal components, and a beta-binomial solution.

TL;DR: In this paper, the problem of characterizing the manifest probabilities of a latent trait model is considered, where the item characteristic curve is transformed to the item passing-odds curve and a corresponding transformation is made on the distribution of ability.

TL;DR: High concurrent validity was found between the subscales of depression, anxiety and discomfort and latent structure analysis has identified homogeneous subscales for depression (the HRSD) and for discomfort (an SCL subscale).