For visual grading experiments, which are an easy and increasingly popular way of studying image quality, hitherto used data analysis methods are often inadequate. Visual grading analysis makes assumptions that are not statistically appropriate for ordinal data, and visual grading characteristic curves are difficult to apply in more complex experimental designs. The approach proposed in this pa...

The aim of this study was to investigate the factors affecting science success eighth-grade students using Ordinal Logistic Regression method. In study, information collected from a total 4224 students, 2202 (52.1%) male and 2022 (47.9%) female, who participated in ABIDE 2016 application used. scores obtained course entering were transformed into categorical ones according determined threshold ...

This article compares a variety of imputation strategies for ordinal missing data on Likert scale variables (number of categories = 2, 3, 5, or 7) in recovering reliability coefficients, mean scale scores, and regression coefficients of predicting one scale score from another. The examined strategies include imputing using normal data models with naïve rounding/without rounding, using latent va...