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See detailDeterminants of individual occupational careers in the 21st century. Does complex problem solving matter beyond general mental ability?
Mainert, Jakob UL; Kretzschmar, André UL; Neubert, Jonas UL et al

Scientific Conference (2015, May 21)

Purpose Complex problem solving (CPS) describes the interaction with dynamic and nonroutine tasks, and has been included in PISA 2012 as a factor for employability. This study examines whether CPS can ... [more ▼]

Purpose Complex problem solving (CPS) describes the interaction with dynamic and nonroutine tasks, and has been included in PISA 2012 as a factor for employability. This study examines whether CPS can also contribute to the prediction of career advancement in jobs beyond general mental ability (GMA) as one of the best predictors. Design/Methodology Using latent structural equation modeling (SEM), we analyzed a sample of technicians, service/trade workers, and assemblers (n=245) at a German automotive company. A computer-based assessment measured participants' CPS and GMA levels. The dependent variables were the participants’ job level (ISCO-08) and professional training days. Results CPS and GMA both correlated significantly with career advancement (from .18 to .26, all p < .01). The models showed good fit and indicated that CPS explained incremental variance in one of two indicators (β = .14 for trainings, p < .05; ΔR2 = .02) in comparison with GMA alone (β = .24, p < 0.01; R2= .06). Limitations Analyses did not include processes information from CPS assessment as potential advantage. The company-based sample and cross-sectional data restrict inferences. Research Implications Our findings suggest positive relations between CPS and career advancement even when controlling for GMA. Hence, CPS could be a valuable addition for the study of careers and personnel selection test batteries. Originality/Value The first evaluation of CPS in career research gave a general indication of an as-yet-to-be-defined role of CPS, especially when considering the task characteristics compared to complex and demanding jobs, and process data available through CPS. [less ▲]

Detailed reference viewed: 116 (2 UL)
See detailWorkshop on educational assessment and educational empirical research
Greiff, Samuel UL

Presentation (2015, May)

Detailed reference viewed: 32 (0 UL)
See detailThe role of visual-spacial thinking in complex problem solving simulations
Krkovic, Katarina; Mustafic, Maida UL; Greiff, Samuel UL

Presentation (2015, April)

Detailed reference viewed: 49 (1 UL)
Peer Reviewed
See detailLinking speed and ability in technology-based assessment of complex problem solving
Scherer, Ronny; Greiff, Samuel UL; Hautamäki, J.

Scientific Conference (2015, April)

Detailed reference viewed: 66 (2 UL)
See detailComplex problem solving within the nomological network of intelligence
Kretzschmar, André UL; Neubert, Jonas UL; Wüstenberg, Sascha UL et al

Scientific Conference (2015, April)

Detailed reference viewed: 64 (2 UL)
See detailDomain-general problem solving skills and its role in education in the 21st century.
Greiff, Samuel UL; Wüstenberg, Sascha UL; Csapo, B. et al

Presentation (2015, April)

Detailed reference viewed: 112 (3 UL)
Peer Reviewed
See detailExploring the potential of computer-generated log files with PISA 2012 problem solving data
Greiff, Samuel UL

Scientific Conference (2015, April)

Detailed reference viewed: 84 (0 UL)
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See detailNutzung und Nutzen von Prozessdaten in computerbasierten Testungen
Wüstenberg, Sascha UL; Greiff, Samuel UL

Scientific Conference (2015, March 11)

Detailed reference viewed: 45 (1 UL)
Peer Reviewed
See detailKomplexes Problemlösen und die Vorhersage von Schulleistung. Präditkiv trotz gutem g?
Lotz, C.; Sparfeldt, J.; Greiff, Samuel UL

Scientific Conference (2015, March)

Detailed reference viewed: 37 (1 UL)