Probes are follow-ups to survey questions used to gain insights on respondents' understanding of and responses to these questions. They are usually administered as open-ended questions, primarily in the context of questionnaire pretesting. Due to the decreased cost of data collection for open-ended questions in web surveys, researchers have argued…

Recent years have seen a growing number of studies investigating the accuracy of nonprobability online panels; however, response quality in nonprobability online panels has not yet received much attention. To fill this gap, we investigate response quality in a comprehensive study of seven nonprobability online panels and three probability-based…

Although research on sensitive topics has produced a large body of knowledge on how to improve the quality of self-reported data, little is known regarding the sensitivity of offending questions, and much less is known regarding how topic sensitivity is affected by recall periods. In this study, we developed a multi-dimensional assessment of item…

Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…

Scholars increasingly rely on indirect questioning techniques to reduce social desirability bias and item nonresponse for sensitive survey questions. The major drawback of these approaches, however, is their inefficiency relative to direct questioning. We show how to improve the statistical analysis of the list experiment, randomized response…

Cognitive interviewing (CI) is a method to identify sources of confusion in assessment items and to assess validity evidence on the basis of content and response processes. We introduce readers to CI and describe a process for conducting such interviews and analyzing the results. Recommendations for best practice are provided.

This dissertation is aimed at investigating the impact of missing data and evaluating the performance of five selected methods for handling missing responses in the implementation of Cognitive Diagnostic Models (CDMs). The five methods are: a) treating missing data as incorrect (IN), b) person mean imputation (PM), c) two-way imputation (TW), d)…

Accurate census data is essential for a variety of government planning functions and plays an important methodological role in social science. This article responds to issues raised by Alice Sullivan concerning how the UK 2021 census will ask about sex and gender. The two-centuries-old question about male/female sex is not ideal, even with the new…

The Research Methods Skills Assessment (RMSA) was created to measure psychology majors' statistics knowledge and skills. The American Psychological Association's Guidelines for the Undergraduate Major in Psychology (APA, 2007, 2013) served as a framework for development. Results from a Rasch analysis with data from n = 330 undergraduates showed…

After explicit instruction on how to give possible bidirectional (two-way) causality explanations for a correlation, 240 students from eight sections of social psychology and research methods courses wrote "reverse causality" explanations on various test questions, creating a total of 882 answers. Averaging across multiple graded…

Students tend to have poor metacomprehension when learning from text, meaning they are not able to distinguish between what they have understood well and what they have not. Although there are a good number of studies that have explored comprehension monitoring accuracy in laboratory experiments, fewer studies have explored this in authentic…

Borrowing from a clinical psychology observational methodology, thin-slice observations were used to assess autism characteristics in toddlers. Thin-slices are short observations taken from a longer behavior stream which are assigned ratings by multiple raters using a 5-point scale. The raters' observations are averaged together to assign a…

In this article, we describe and illustrate the process by which we developed and validated short, multiple-choice, reliable tests to assess undergraduate students' comprehension of three mathematical proofs. We discuss the purpose for each stage and how it benefited the design of our instruments. We also suggest ways in which this process could…

This case study describes a method of collecting data on students' experiences of developing digital literacy (information and communications technology) skills as part of their course at the United Kingdom's Open University. An online reflective quiz was integrated into three health and social care modules, offering students the opportunity both…

Understanding the reason(s) for Differential Item Functioning (DIF) in the context of measurement is difficult. Although identifying potential DIF items is typically a statistical endeavor, understanding the reasons for DIF (and item repair or replacement) might require investigations that can be informed by qualitative work. Such work is…