Predicting first grade students' writing proficiency. Issue 2 (4th March 2022)
- Record Type:
- Journal Article
- Title:
- Predicting first grade students' writing proficiency. Issue 2 (4th March 2022)
- Main Title:
- Predicting first grade students' writing proficiency
- Authors:
- Skar, Gustaf B.
Huebner, Alan - Abstract:
- ABSTRACT: This study aimed to investigate the predictability of writing development and if scores on a writing test in the first weeks of first grade accurately predict students' placements into different proficiency groups. Participants were 832 first grade students in Norway. Writing proficiency was measured twice, at the start and at the end of first grade (time 1 and time 2, respectively). Multilevel linear regression analysis showed that writing proficiency measures at time 1 were significant predictors of writing proficiency at time 2. The results also showed that measures at time 1 could identify students running the risk of not meeting expectations with high precision. However, the results also revealed a substantial proportion of false positives. The results are interpreted and discussed from a formative writing assessment perspective.
- Is Part Of:
- Assessment in education. Volume 29:Issue 2(2022)
- Journal:
- Assessment in education
- Issue:
- Volume 29:Issue 2(2022)
- Issue Display:
- Volume 29, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 29
- Issue:
- 2
- Issue Sort Value:
- 2022-0029-0002-0000
- Page Start:
- 219
- Page End:
- 237
- Publication Date:
- 2022-03-04
- Subjects:
- writing assessment -- writing development -- predictability
Educational tests and measurements -- Periodicals
Education -- Evaluation -- Periodicals
371.26 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0969594X.2022.2057424 ↗
- Languages:
- English
- ISSNs:
- 0969-594X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1746.637550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22258.xml