2023
DOI: 10.3389/fpsyg.2023.1213929
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How students' writing motivation, teachers' personal and professional attributes, and writing instruction impact student writing achievement: a two-level hierarchical linear modeling study

Abstract: Student motivation to write is a pivotal factor influencing their writing achievement. However, individual motivation to write is not independent of the learning environment. It also is crucial for teachers to develop their own efficacy, knowledge, and ability in writing and writing instruction to help them utilize effective instructional methods that stimulate students' motivation to write and further promote their writing achievement. Given these considerations, we utilized a two-level hierarchical linear mo… Show more

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Cited by 4 publications
(3 citation statements)
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“…Their professional lives will, in many cases, be aimed at teaching writing. Given those professional profiles, it is even more important and interesting to understand and optimise their writing skills and strategies, since the characteristics or internal variables of future teachers, including their strategic profiles, could mediate their future professional practice when they are teaching novice writers (Graham, 2018;Sánchez-Rivero et al, 2021;Wang and Troia, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Their professional lives will, in many cases, be aimed at teaching writing. Given those professional profiles, it is even more important and interesting to understand and optimise their writing skills and strategies, since the characteristics or internal variables of future teachers, including their strategic profiles, could mediate their future professional practice when they are teaching novice writers (Graham, 2018;Sánchez-Rivero et al, 2021;Wang and Troia, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…The above arguments have also been adopted by various studies, such as Kao (2017) and Cho and Kao (2022). HLM mainly comes from twostage stratified random sampling or cluster random sampling (Wang and Troia, 2023).…”
Section: Research Frameworkmentioning
confidence: 99%
“…The above arguments have also been adopted by various studies, such as Kao (2017) and Cho and Kao (2022). HLM mainly comes from two-stage stratified random sampling or cluster random sampling (Wang and Troia, 2023). Stratified random sampling can be used to reduce the impact of heterogeneity and increase the accuracy of predictions.…”
Section: Research Design and Implementationmentioning
confidence: 99%