Philosophy of data should not be dismissed as a cluster of scholastic puzzles whose solutions are of limited practical value. On the contrary, philosophy of data should be recognized as constituting the core of a field of data studies that is informed by, but far from equivalent to, statistics, computer science, and library and information studies.

Previous research shows that interviewers to some extent fail to expend the effort that is needed to collect high-quality survey data. We extend the idea of interviewer satisficing to a related task, in which the interviewers themselves answer survey questions. We hypothesize that interviewers who self-administer the questionnaire in a careless…

In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…

Research shows college readiness can be predicted using a variety of measures, including test scores, grades, course-taking patterns, noncognitive instruments, and surveys of how well students understand the college admissions process. However, few studies provide guidance on how educators can prioritize predictors of college readiness across…

This article addresses the problem of estimating the proportion Pi[subscript S] of the population belonging to a sensitive group using optional randomized response technique in stratified sampling based on Mangat model that has proportional and Neyman allocation and larger gain in efficiency. Numerically, it is found that the suggested model is…

The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…

During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for development priority. Due to the time pressure and user…

Data are abundant, quantitative information about the state of society and the wider world is around us more than ever. Paradoxically, recent trends in the public discourse point towards a post-factual world that seems content to ignore or misrepresent empirical evidence. As statistics educators we are challenged to promote understanding of…

Survey IDs are short strings of unique characters assigned to each recipient in a sample population. Extension research can benefit from the improved organization of survey implementation and data collection, better researcher-respondent communication, and reduced survey material costs supported through the use of survey IDs. This article outlines…

A growing interest in the concept of practice within workplace settings has been seen in the last two decades in a variety of fields. Although some authors highlighted the importance of this type of research, there is still a poor scientific understanding of this process. The first serious discussion and analysis of the construction of knowledge…

Saudi Arabia is one of the countries that allot substantial amount of government resources for education. Thus, it is important to measure how these resources are used to generate favorable academic outcomes for its nationals. In this study, data envelopment analysis (DEA) is used to measure the relative efficiency of 25 public universities in…

New technology allows us to collect rich and voluminous data about refereeing--something that was not possible before. In this quantitative study, we consider data about the dates of sending (1) suitable papers to "BJET," (2) the papers to referees and (3) when the referees' reports are returned to the editor. To do this, we examined…

This study investigates potential bias that may arise when surveys include question items for which multiple units are elicited. Examples of such items include questions about experiences with multiple health centers, comparison of different products, or the solicitation of egocentric network data. The larger the number of items asked about each…

Students with persistent challenging behavior are present in nearly every classroom. Teachers need the knowledge and skills to understand student behavior and intervene effectively. This article presents a framework to guide teachers in understanding student behavior and feasible tools for collecting data about the function of student behavior.…

The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.