Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
STEM Interest Complexity Inventory Short Form With IRT and DIF Applications
Date
2019-02-01
Author
Toker, Yonca
Gültaş, Mehmet
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
246
views
0
downloads
Cite This
The 127-item Science, Technology, Engineering, Mathematics (STEM) Interest Complexity Inventory and 15-item General STEM Interests Scale, each of which were previously developed to assess interests toward increasingly complex tasks, were shortened to 37-item and 12-item measures. Item response theory analyses employed on the data of 930 students in STEM majors indicated items with higher discrimination parameters and equivalent functioning across genders. The short form (SF) supported a four-factor structure of interests toward interacting with numerical data, symbolic data, spatial data, and STEM-related ideas. Concurrent criterion-related validation was supported with relevant vocational fit criteria. Hierarchical regression analysis revealed that STEM interest complexity added incremental variance over achievement motivation and test anxiety in predicting fit. Measurement invariance was demonstrated across samples from Turkey and the United States. The STEM Interest Complexity Inventory SF is a valid measure of vocational interests for research at the college level. Validities with high school and working samples are yet to be demonstrated.
Subject Keywords
STEM
,
Vocational interests
,
Interest complexity
,
Occupational complexity
,
Item response theory
,
Differential item functioning
URI
https://hdl.handle.net/11511/30785
Journal
JOURNAL OF CAREER ASSESSMENT
DOI
https://doi.org/10.1177/1069072717748645
Collections
Graduate School of Social Sciences, Article
Suggestions
OpenMETU
Core
Utilizing occupational complexity levels in vocational interest assessments: Assessing interests for STEM areas
Toker, Yonca (2012-04-01)
With an aim to improve vocational interest assessments geared toward the Science, Technology, Engineering, and Mathematics (STEM) areas, we developed a new assessment by incorporating occupational complexity levels. Occupations which correspond to Holland's realistic and investigative themes were identified together with their complexity levels using the information in the Dictionary of Holland Occupational Codes. How the required skills, abilities, and work activities differ in occupations with different c...
Numerical studies of Korteweg-de Vries equation with random input data
Üreten, Mehmet Alp; Yücel, Hamdullah; Uğur, Ömür; Department of Scientific Computing (2018)
Differential equations are the primary tool to mathematically model physical phenomena in industry and natural science and to gain knowledge about its features. Deterministic differential equations does not sufficiently model physically observed phenomena since there exist naturally inevitable uncertainties in nature. Employing random variables or processes as inputs or coefficients of the differential equations yields a stochastic differential equation which can clarify unnoticed features of physical event...
STEM Education as a Concept Borrowing Issue: Perspectives of School Administrators in Turkey
Kulakoğlu, Büşra; Kondakci, Yasar (2022-06-01)
Purpose:As a borrowed concept, science, technology, engineering, and mathematics (STEM) education holds limited relevance in many country contexts. This study investigates how school administrators in Turkey view STEM education from three dimensions: (a) their understanding of STEM education, (b) their experiences of STEM implementations, and (c) their perception of their roles in STEM implementation.Design/Approach/Methods:This phenomenological study analyzes the perceptions of school principals working in...
Engineering-based modelling experiences of elementary gifted students: An example of bridge construction
Karatas-Aydin, Firdevs Iclal; Işıksal Bostan, Mine (2023-03-01)
Background: Integrating science, technology, engineering and mathematics (STEM) in elementary classrooms has gained more attention with the current educational reforms. In this integration, finding ways to improve STEM knowledge and develop appropriate learning activities, and instructional strategies have been a challenge for educators. Although the similarities between gifted and engineering education have been emphasized, they have been not fully considered. Purpose: This study attempted to show how STEM...
Computational networks and systems - homogenization of variational problems on micro-architectured networks and devices
Kropat, Erik; Meyer-Nieberg, Silja; Weber, Gerhard Wilhelm (2019-05-04)
Networked materials and micro-architectured systems gain increasingly importance in multi-scale physics and engineering sciences. Typically, computational intractable microscopic models have to be applied to capture the physical processes and numerous transmission conditions at singularities, interfaces and borders. The topology of the periodic microstructure governs the effective behaviour of such networked systems. A mathematical concept for the analysis of microscopic models on extremely large periodic n...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Y. Toker and M. Gültaş, “STEM Interest Complexity Inventory Short Form With IRT and DIF Applications,”
JOURNAL OF CAREER ASSESSMENT
, pp. 78–96, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30785.