Optimizing Quality in the Use of Web-Based and Computer-Based Testing for Personnel Selection

Computer-Based Testing and the Internet: Issues and Advances

Volumn , Issue , 2008, Pages 149-162

  Hornke, Lutz F ^a   Kersting, Martin ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Development of computer; Experimental approaches; Game test procedures; Joblike scenarios; Traditional multiple choice item formats

Indexed keywords

EID: 84889427644     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470712993.ch8     Document Type: Chapter

References (29)

1. Beckmann, J. F.,&Guthke, J. (1995). Complex problem solving, intelligence, and learning ability. In P. A. Frensch & J. Funke (Eds.), Complex problem solving: The European perspective (pp. 177-200). Hillsdale, NJ: Erlbaum.
2. Broadbent, D. E. (1977). Levels, hierarchies, and the locus of control. Quarterly Journal of Experimental Psychology, 29:181-201.
3. Bucik, V., & Neubauer, A. C. (1996). Bimodality in the Berlin Model of Intelligence Structure (BIS): A replication study. Personality and Individual Differences, 21:987-1005.
4. Dörner, D., Kreuzig, H. W., Reither, F. & Stäudel, T. (1983). Lohhausen. Vom Umgang mit Unbestimmtheit und Komplexität [Lohhausen. On dealing with uncertainty and complexity]. Bern: Huber.
5. Fishbein, M., & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychological Review, 81:59-74.
6. Funke, J. (1991). Solving complex problems: Exploration and control of complex systems. In R. J. Sternberg & P. A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 185-222). Hillsdale, NJ: Erlbaum.
7. Funke, J. (1998). Computer-based testing and training with scenarios from complex problem solving research: Advantages and disadvantages. International Journal of Selection and Assessment, 6:90-96.
8. Funke, U. (1995). Using complex problem solving tasks in personnel selection and training. In P. A. Frensch & J. Funke (eds.), Complex problem solving: The European perspective (pp. 219-240). Hillsdale, NJ: Erlbaum.
9. Jäger, A. O. (1982). Mehrmodale Klassifikation von Intelligenzleistungen: Experimentell kontrollierte Weiterentwicklung eines deskriptiven Intelligenzstrukturmodells [Multimodal classification of intelligence tests: Experimentally controlled development of a descriptive model of intelligence structure]. Diagnostica, 28:195-225.
10. Jäger, A. O. (1984). Intelligenzstrukturforschung: Konkurrierende Modelle, neue Entwicklungen, Perspektiven [Research on intelligence structure: Competing models, new developments, perspectives.] Psychologische Rundschau, 35:21-35.
11. Kersting, M. (1998). Differentielle Aspekte der sozialen Akzeptanz von Intelligenztests und Problemlöseszenarien als Personalauswahlverfahren [Differential-psychological aspects of applicants' acceptance of intelligence tests and problem solving scenarios as diagnostic tools for personnel selection]. Zeitschrift für Arbeits- und Organisations psychologie, 42:61-75.
12. Kersting, M. (1999). Diagnostik und Personalauswahl mit computergestützten Problemlöseszenarien? [Assessment and personnel selection with computer-simulated problem solving scenarios?] Göttingen: Hogrefe.
13. Kersting, M. (2001). Zur Konstrukt- und Kriteriumsvaliditä t von Problemlöseszenarien anhand der Vorhersage von Vorgesetztenurteilen über die berufliche Bewährung [On the construct and criterion validity of problem solving scenarios based on the prediction of supervisor assessment of job performance]. Diagnostica, 47:67-76.
14. Köller, O., Strauß, B., & Sievers, K. (1995). Zum Zusammenhang von (selbst eingeschätzter) Kompetenz und Problemlöseleistungen in komplexen Situationen [Correlation of (self assessed) competence and performance of problem solving in complex situations]. Sprache & Kognition, 14:210-220.
15. Locke, S. D., & Gilbert, B. O. (1995). Method of psychological assessment, self disclosure, and experiential differences: A study of computer, questionnaire, and interview assessment formats. Journal of Social Behaviour and Personality, 10:187-192.
16. Müller, H. (1993). Komplexes Problemlösen: Reliabilität und Wissen [Complex problem solving: Reliability and knowledge]. Bonn: Holos.
17. Pressey, S. L. (1926). A simple apparatus which gives tests and scores - and teaches. School and Society, 23:373-376.
18. Reynolds, D. H., Sinar, E. F., Scott, D. R., & McClough, A. C. (2000). Evaluation of a Webbased selection procedure. In N. Mondragon (Chair), Beyond the demo: The empirical nature of technology-based assessments. Symposium conducted at the 15th Annual Society for Industrial and Organizational Psychology Conference, New Orleans, LA.
19. Sands, W. A., Waters, B. K., & McBride, J. R. (1997). Computerized Adaptive Testing. Washington, DC: American Psychological Association.
20. Shotland, A., Alliger, G. M., & Sales, T. (1998). Face validity in the context of personnel selection: A multimedia approach. International Journal of Selection and Assessment, 6:124-130.
21. Smither, J. W., Reilly, R. R., Millsap, R. E., Pearlman, K., & Stoffey, R. W. (1993). Applicant reactions to selection procedures. Personnel Psychology, 46:49-76.
22. Suppes, P., & Morningstar, M. (1972). CAI at Stanford 1966-68. Data, models, and evaluation of arithmetic programs. New York: Academic.
23. Suppes, P., Jerman, M., & Brian, D. (1968). Computer-Assisted Instruction: Stanford's 1965-66 arithmetic program. New York: Academic.
24. Süß, H. M., Kersting, M., & Oberauer, K. (1992). The role of intelligence and knowledge in complex problem-solving. The German Journal of Psychology, 16:269-270.
25. Süß, H. M., Oberauer, K., & Kersting, M. (1994). Intelligence and control performance on computer-simulated systems. The German Journal of Psychology, 18:33-35.
26. Vlug, T., Furcon, J. E., Mondragon, N., & Mergen, C. Q. (2000). Validation and implementation of a Web-based screening system in the Netherlands. In N. Mondragon (Chair), Beyond the demo: The empirical nature of technology-based assessments. Symposium conducted at the 15th Annual Society for Industrial and Organizational Psychology Conference, New Orleans, LA.
27. Wagener, D. (2001). Psychologische Diagnostik mit komplexen Szenarios: Taxonomie, Entwicklung, Evaluation [Psychological assessment with complex scenarios: Taxonomy, development, evaluation]. Lengerich: Pabst.
28. Wittmann, W. W. (1988). Multivariate reliability theory: Principles of symmetry and successful validation strategies. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp. 505-560). New York: Plenum.
29. Wittmann, W. W., & Süß, H.-M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem solving via Brunswik Symmetry. In P. L. Ackerman, P. C. Kyllonen & R. D. Roberts (Eds.), Learning and individual differences (pp. 77-104). Washington, DC: APA.