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Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
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Warner, Janis A.; Koufteros, Xenophon; Verghese, Anto – Educational and Psychological Measurement, 2014
This article introduces a new construct coined as Computer User Learning Aptitude (CULA). To establish construct validity, CULA is embedded in a nomological network that extends the technology acceptance model (TAM). Specifically, CULA is posited to affect perceived usefulness and perceived ease of use, the two underlying TAM constructs.…
Descriptors: Second Language Learning, Language Aptitude, Computer Mediated Communication, Construct Validity
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Cheng, Ying-Yao; Chen, Li-Ming; Liu, Kun-Shia; Chen, Yi-Ling – Educational and Psychological Measurement, 2011
The study aims to develop three school bullying scales--the Bully Scale, the Victim Scale, and the Witness Scale--to assess secondary school students' bullying behaviors, including physical bullying, verbal bullying, relational bullying, and cyber bullying. The items of the three scales were developed from viewpoints of bullies, victims, and…
Descriptors: Bullying, School Safety, Measures (Individuals), Psychometrics