Development and validation of STEM motivation scale for middle school students

Understanding motivational beliefs such as expectancy and value that shape students’ persistence and decision to pursue a STEM career, obtaining valid and reliable measures for these dimensions, and developing strategies using this data are critically important to ensure students’ persistence in the STEM pipeline. Therefore, this study aims to develop a tool to measure middle school students’ STEM motivations within the expectancy and value concepts framework. The trial version of the scale was conducted on 967 middle school students in the 5th, 6th, 7th, and 8th grades. The study group was randomly divided into two groups. EFA was conducted on the data obtained from the first sub-group (n=479), and CFA was performed using the data obtained from the second sub-group (n=488). The results of a series of CFA performed to test three different models developed based on the theoretical structure, Model 3, the second-order single-factor structure composed of 5 sub-dimensions was found to be a successful model. This measurement tool would allow determining motivational beliefs within the expectancy-value concept that can be targeted to encourage students’ interest in STEM fields, as well as help design interventions for these structure(s), and evaluate the effectiveness of these interventions.

Authors

Institutions

Publication Details

Journal
International Journal of Assessment Tools in Education
Published
2024-09-26
DOI
https://doi.org/10.21449/ijate.1401339
Citations
2
Primary Topic
Education, Achievement, and Giftedness
Type
article
Field-Weighted Citation Impact
1.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of STEM motivation scale for middle school students

Emine Önen, Arif Açıksöz, Ïlbilge Dökme
2 citations
International Journal of Assessment Tools in Education
Education, Achievement, and Giftedness
1.02
article

Development and validation of STEM motivation scale for middle school students

Emine Önen, Arif Açıksöz, Ïlbilge Dökme
article en
2 citations

Abstract

Understanding motivational beliefs such as expectancy and value that shape students’ persistence and decision to pursue a STEM career, obtaining valid and reliable measures for these dimensions, and developing strategies using this data are critically important to ensure students’ persistence in the STEM pipeline. Therefore, this study aims to develop a tool to measure middle school students’ STEM motivations within the expectancy and value concepts framework. The trial version of the scale was conducted on 967 middle school students in the 5th, 6th, 7th, and 8th grades. The study group was randomly divided into two groups. EFA was conducted on the data obtained from the first sub-group (n=479), and CFA was performed using the data obtained from the second sub-group (n=488). The results of a series of CFA performed to test three different models developed based on the theoretical structure, Model 3, the second-order single-factor structure composed of 5 sub-dimensions was found to be a successful model. This measurement tool would allow determining motivational beliefs within the expectancy-value concept that can be targeted to encourage students’ interest in STEM fields, as well as help design interventions for these structure(s), and evaluate the effectiveness of these interventions.

International Journal of Assessment Tools in EducationVol. 11(4)
Gazi Hastanesi (TR), National Nuclear Research Center (AZ)
Gazi Üniversitesi
Openalex Percentile: Top 21%
Education, Achievement, and Giftedness
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.