2019 WCGTC World Conference

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3.1.9 The Assessment of Teachers’ Attitudes Toward Twice-Exceptionality: Development and Validation

The development of the Assessment of Teacher Attitudes toward Twice-Exceptionality (ATATE) included multiple rounds of data collection using three versions of the assessment. The authors conducted two rounds of content validation and collected three distinct samples to analyze the instrument properties, each taking a different iteration of the survey instrument. Analysis included content validation and exploratory and confirmatory factor analysis. The final version of the instrument, including items and instrument properties, will be shared with attendees.

Author(s):

Pam Peters
pamela.peters@uconn.edu
University of Connecticut
United States

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Pam Peters is pursuing a doctoral degree in Educational Psychology focusing on both Gifted Education, Creativity, & Talent Development and Research Methods, Measurement, & Evaluation at the University of Connecticut. She has worked on Javits funded projects including the National Center for Research on Gifted Education and Program LIFT: Learning Informs Focused Teaching. Pam’s research interests center on issues of equity. She has presented at local, state, and national conferences.

D. Betsy McCoach
betsy.mccoach@uconn.edu
University of Connecticut
United States

   

D. Betsy McCoach, Ph.D. is professor of Research Methods, Measurement, Evaluation program in the Educational Psychology department at the University of Connecticut. Dr. McCoach has co-authored over 100 peer-reviewed journal articles, book chapters, and books, including Beyond Gifted Education (with Peters, Matthews, and McBee), and Instrument Design in the Affective Domain. Dr. McCoach is co-Principal Investigator for the National Center for Research on Gifted Education and has served as Principal Investigator, co-Principal Investigator, and/or research methodologist for several other federally-funded research projects/grants. Dr. McCoach’s research interests include gifted education, instrument design, latent variable modeling, longitudinal modeling, and multilevel modeling.

 



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