Vocational Interests toward complex occupations make a difference in STEM work life.

The STEM Interest Complexity Measure, measuring interests toward complex tasks under the realistic and investigative work environments, was investigated with employed engineering-scientist and technol-ogist-technician samples. Interest levels were higher for the higher complexity engineering-scientist sample. Interest and work criteria associations were again higher for the high-complexity sample.
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Concurrent validity and test-retest reliability of the information processing styles
Baloğlu, Mustafa; Zelhart, PF (2000-12-01)
To investigate concurrent validity and test-retest reliability of thr Information Processing Styles, 62 students majoring in social sciences evaluated the accuracy of the checklist in describing their dominant types. Each student had a friend who read the descriptions of thy dominant types(s) of the student and rated their perceived accuracy of that categorization. Analyses indicated the inventory is reliable and valid.
STEM Interest Complexity Inventory Short Form With IRT and DIF Applications
Toker, Yonca; Gültaş, Mehmet (2019-02-01)
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 structur...
Job satisfaction in Britain: individual and job related factors
Gazioglu, S; Tansel, Aysıt (2006-06-10)
Recently there has been a resurgence of interest in the analysis of job satisfaction variables. Job satisfaction is correlated with labour market behaviour such as productivity, quits and absenteeism. In this paper four different measures of job satisfaction are related to a variety of personal and job characteristics. The data used are from the 28 240 British employees in the Workplace Employee Relations Survey, 1997. This data set is larger and more recent than in any previous studies. Four measures of jo...
Automated Video Game Testing Using Synthetic and Human-Like Agents
Arıyürek, Sinan; Betin Can, Aysu; Sürer, Elif (2019-06-01)
In this paper, we present a new methodology that employs tester agents to automate video game testing. We introduce two types of agents -synthetic and human-like- and two distinct approaches to create them. Our agents are derived from Reinforcement Learning (RL) and Monte Carlo Tree Search (MCTS) agents, but focus on finding defects. The synthetic agent uses test goals generated from game scenarios, and these goals are further modified to examine the effects of unintended game transitions. The human-like ag...
Industry specific information content of financial ratios and financial distress modeling
Sayarı, Naz; Oran, Adil; Muğan, Fatma Naciye Can; Department of Business Administration (2013)
The aim of this study is to investigate uncertainty levels of industries and explore those financial ratios that have the highest information content in determining the set of industry characteristics and use the most informative ratios selected in developing industry specific financial distress models. First, we employ factor analysis to determine the set of ratios that are most informative in specified industries. Second, we use entropy method as a Multiple Attribute Decision Making Model, to measure the ...
Citation Formats
Y. Toker, “Vocational Interests toward complex occupations make a difference in STEM work life.,” Michigan, United States Of America, 2018, p. 47, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71949.