Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…

Background: This study examined students' perceptions of and engagement with active student responding (ASR) techniques as they relate to student performance. Objective: We replicate Zayac et al.'s study on ASR methods and expand on it by using an upper-level psychology course at multiple institutions and additional measures of engagement. Method:…

Background: We identified participant-level risks and safeguards in social-behavioural research with adults with developmental disabilities. Method: We conducted a qualitative systematic review on risks and safeguards in peer-reviewed research with adults with developmental disabilities. We identified research reporting on risks and safeguards…

Data obtained through questionnaires sometimes respond to the items presented by social norms, so sometimes they do not suit themselves. High social desirability (SD) in non-cognitive measurements will cause item bias. Several ways are used to reduce item bias, including freeing respondents from not writing their names or being anonymous,…

Anonymous reporting systems (ARS) have been widely implemented in schools across the United States as a violence prevention strategy. The current study systematically reviewed the published literature on ARS in U.S. schools (including public and private k-12 schools, colleges, and universities) over the past 25 years to examine the effectiveness…

While the introduction of memory-safe programming languages into embedded, Cyber-Physical Systems (CPS) offers an opportunity to eliminate many system vulnerabilities, a pragmatic adoption of memory-safe programming languages often necessitates incremental deployment due to practical development constraints, such as the size of many legacy code…

Objective: To assess athletic trainers' (ATs) perceptions regarding the importance of athletes' beliefs and athletic department stakeholders in facilitating help-seeking for mental health (MH) care. Participants: 534 ATs within collegiate athletic departments (M[subscript age] = 35.50 years; 64.2% women; 87.3% White). Methods: ATs were asked to…

Unnoticed by most, some technology corporations have changed their terms of service to allow user data to be transferred to clouds and even to be used to train artificial intelligence systems. As a result of these developments, remote data collection may in many cases become impossible to be conducted anonymously. Researchers need to react by…

Schools and school districts use social media for a variety of reasons, but alongside the benefits of schools' social media use come potential risks to students' privacy. Using a novel dataset of around 18 million Facebook posts by schools and districts in the United States, we explore the extent to which personally identifiable information of…

Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality…

This study analyzes the consequences of item nonresponse to the question about a household's total net income in the European Social Survey (2008-2018). We recognize two mechanisms in avoiding answering the income question: task complexity and question sensitivity, and apply multilevel logistic regressions to predict the probability of refusals or…

School psychologists often face complex ethical and legal issues in their work, which become more challenging as the needs of students and school systems evolve. When faced with ethical dilemmas, it can be difficult for school psychologists to determine the best course of action, particularly when there is no clear solution. This study explored…

Composite narrative case studies are a relatively novel technique to combine multiple data points into a single vignette. This method offers an accessible option for the presentation of research findings that can engage diverse audiences. Findings presented in this manner honor qualitative commitments to preserve rich, complex, and situated…

Learning analytics is an emerging trend in American community colleges brought about by technological advancements, institutional accountability, and external pressure on institutions to substantiate and improve learning. Learning analytics can potentially improve student engagement, retention, and success but also possess inherent ethical and…

For many researchers in the social sciences, including those in applied linguistics, the term ethics evokes the bureaucratic process of fulfilling the requirements of an ethics review board (e.g., in the US, an Institutional Review Board, or IRB) as a preliminary step in conducting human subjects research. The expansion of ethics review boards…