NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sande, Lisa van der; Wildeman, Ilona; Bus, Adriana G.; van Steensel, Roel – Reading Psychology, 2022
In many schools, independent silent reading of self-selected books is used to promote reading. However, self-selection may be insufficient to counter negative reading experiences, particularly when students choose books not attuned to their reading level and interest. Two studies experimentally tested whether personalized expert guidance when…
Descriptors: Independent Reading, Silent Reading, Reading Material Selection, Books
Peer reviewed Peer reviewed
Direct linkDirect link
Kruit, Patricia M.; Oostdam, Ron J.; van den Berg, Ed; Schuitema, Jaap A. – Research in Science & Technological Education, 2018
Background: With the increased attention on the implementation of inquiry activities in primary science classrooms, a growing interest has emerged in assessing students' science skills. Research has thus far been concerned with the limitations and advantages of different test formats to assess students' science skills. Purpose: This study explores…
Descriptors: Science Instruction, Elementary School Science, Science Process Skills, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
de Groot-Reuvekamp, Marjan; Ros, Anje; van Boxtel, Carla; Oort, Frans – Education 3-13, 2017
This study focuses on the development of the understanding of historical time of pupils in primary school. We present a developmental model with three stages: "emergent," "initial" and "continued" understanding of historical time. Based on this model, we constructed an instrument to measure how pupils aged 6-12…
Descriptors: Elementary School Students, Instructional Program Divisions, Gender Differences, Age Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Jeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure