Using Reading Motivation Profiles to Predict Reading Outcomes (Poster 53)

• In Event: AERA Poster Session Ten
  In Poster Session: Cognitive and Motivational Processes: Poster Session Three

Abstract

The present study employed a person-centered approach to examining reading motivation profiles in a sample of 367 high school students. Students in the sample reported their reading frequency and were assessed on reading achievement and reading motivation. Emergent motivational profiles were based on students’ score on the Adaptive Reading Motivation Measure (ARMM), a computer-adaptive adolescent reading motivation measure. Findings revealed three motivational profiles, high, ambivalent/neutral, and low reading motivation profiles, where students with a high reading motivation profile performed better on the reading achievement assessment and reported reading more often compared to their peers in the other profiles. Findings suggest that engaging adolescents in reading can benefit positive reading outcomes.

Authors

• Samira Syal, ICF International
  Presenting Author

• Samantha Spinney, ICF International
  Presenting Author

• Marcia H. Davis, Johns Hopkins University
  Non-Presenting Author

• Xiaodong Zhang, ICF International
  Non-Presenting Author

• Jason Schoeneberger, ICF International
  Non-Presenting Author

• Douglas J. Mac Iver, Johns Hopkins University, School of Education
  Non-Presenting Author