This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…

In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…

The growing importance of genomics and bioinformatics methods and paradigms in biology has been accompanied by an explosion of new curricula and pedagogies. An important question to ask about these educational innovations is whether they are having a meaningful impact on students' knowledge, attitudes, or skills. Although assessments are…

Motivating students to perform well on assessment tests is difficult when students know the results have no academic consequence. The present study evaluates the influence of assessment context (graded vs. non-graded) on the reliability of an assessment measure. Results indicate the graded condition produces higher reliability (r = 0.71) than the…

Despite questions about their reliability and validity, student evaluations of teaching (SETs) are a primary measure of instructor performance. The current study examines SETs, including a thorough list of potentially relevant variables. The findings suggest that how much students perceive they learned in a course is an important predictor of SET…