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

52
views

0
downloads

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...
Stochastic Hybrid Systems of Financial and Economical Processess: Identificatied, Optimized and Controlled Weber, Gerhard Wilhelm; Yolcu Okur, Yeliz; Yerlikaya Özkurt, Fatma; Kuter, Semih; Özmen, Ayşe; Karimov, Azar(2013-12-31) This research project will scientifically broaden, deepen and apply a scientific unified approach of both identification and optimal control of Stochastic Differential Equations with Jumps (SHSJs), motivated by and foreseen for purposes of financial mathematics and actuarial sciences. SHSJs and further structured and detailed models are in the scope of our framework, and special interests pursued consisted in a. refinement of Parameter Estimation for SDEs and b. Portfolio Optimization and, as a future exten...
Unified And Hybrid Approaches To Identification, Optimization And Control Of Stochastic Financial Processess-Theory, Methods And Applications. Weber, Gerhard Wilhelm(2012-12-31) This research project aims at a new unified view onto both identification and optimal control of Stochastic Differential Equations (SDEs) for purposes of financial mathematics and actuarial sciences. More specific cases such as Stochastic Hybrid Systems are also considered in this framework. A special interests consists in (i) refinement of Parameter Estimation for SDEs and (ii) Portfolio Optimization. Here, the words “unified” or “joint” mean an integrated and simultaneous treatment of (i) and (ii) in the...

Citation Formats

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.