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Part III - Advances, Trends, and Issues

Published online by Cambridge University Press:  18 December 2017

John C. Scott
Affiliation:
APT Metrics
Dave Bartram
Affiliation:
CEB-SHL
Douglas H. Reynolds
Affiliation:
Development Dimensions International
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Summary

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Chapter
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Next Generation Technology-Enhanced Assessment
Global Perspectives on Occupational and Workplace Testing
, pp. 137 - 314
Publisher: Cambridge University Press
Print publication year: 2017

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References

References

American Psychological Association. (2006). APA dictionary of psychology. Washington, DC: APA.Google Scholar
Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle, NJ: Prentice Hall.Google Scholar
Anderson, N., Salgado, J. F., & Hülsheger, U. R. (2010). Applicant reactions in selection: Comprehensive meta-analysis into reaction generalization versus situational specificity. International Journal of Selection and Assessment, 18, 291304.CrossRefGoogle Scholar
Bartram, D. (2011). Contributions of the EFPA Standing Committee on Tests and Testing to Standards and Good Practice. European Psychologist, 16(2), 149159.CrossRefGoogle Scholar
Bartram, D., & Burke, E. (2013). Industrial/organizational testing case studies. In Wollack, J. A. & Fremer, J. J. (Eds.), Handbook of test security (pp. 313332). New York: Routledge.Google Scholar
Black, M. M., & Matula, K. (2000). Essentials of Bayley Scales of Infant Development-II Assessment. Hoboken, NJ: John Wiley and Sons.Google Scholar
Blickle, G. (2003). Ethics. In Fernandez-Ballesteros, R. (Ed.), Encyclopedia of psychological assessment, vol. 1 (pp. 373378). London: Sage.Google Scholar
Burke, E. (2009). Preserving the integrity of online testing. Industrial and Organizational Psychology, 2(1), 3538.Google Scholar
Cheung, F. M., Leung, K., Fan, R. M., Song, W.-Z., Zhang, J.-X., & Zhang, J.-P. (1996). Development of the Chinese Personality Assessment Inventory (CPAI). Journal of Cross-Cultural Psychology, 27, 181–199.Google Scholar
Cheung, F. M., van de Vijver, F. J. R., & Leong, F. T. L. (2011). Toward a new approach to the study of personality in culture. American Psychologist, 66, 593603.Google Scholar
Church, A. T. (2009). Prospects for an integrated trait and cultural psychology. European Journal of Personality, 23, 153182.CrossRefGoogle Scholar
Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, R., & Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers and Education, 59(2), 661686.CrossRefGoogle Scholar
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297334.Google Scholar
Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: Harper Collins.Google Scholar
Evers, A., Muñiz, J., Bartram, D., Boben, D., Egeland, J., Fernández-Hermida, J. R., Frans, O., Gintiliené, G., Hagemeister, C., Halama, P., Iliescu, D., Jaworowska, A., Jimenez, P., Manthouli, M., Matesic, K., Schittekatte, M., Sümer, C., & Urbánek, T. (2011). Testing practices in the 21th century. Developments and European Psychologist’s Opinions. European Psychologists, 17(4), 300319.Google Scholar
Foster, D. (2013). Security issues in technology-based testing. In Wollack, J. A. & Fremer, J. J. (Eds.), Handbook of test security (pp. 3984). New York: Routledge.Google Scholar
Gierl, M. J., & Haladyna, T. M. (2013). Automatic item generation: Theory and practice. New York: Routledge.Google Scholar
Gottfredson, L. S. (1997). Mainstream science on intelligence. Intelligence, 24, 1323.Google Scholar
Gregory, R. J. (2011). Psychological testing: History, principles, and applications (6th ed.). Boston: Allyn and Bacon.Google Scholar
Hambleton, R. K. (2005). Issues, designs, and technical guidelines for adapting tests into multiple languages and cultures. In Hambleton, R. K., Merenda, P. F., & Spielberger, C. D. (Eds.), Adapting educational and psychological tests for cross-cultural assessment (pp. 338). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Harrison, P. L., & Oakland, T. (2015). ABAS-3: Intervention planner. Torrance, CA: Western Psychological Services.Google Scholar
Iliescu, D. (2014). A quantitative segmentation of stakeholders’ opinions about legal test usage. Paper presented at the 9th Conference of the International Test Commission, San Sebastian, Spain, July.Google Scholar
International Test Commission. (2001). International guidelines for test use. International Journal of Testing, 1(2), 93114.Google Scholar
International Test Commission. (2012). International guidelines on quality control in scoring, test analysis, and reporting of test scores. Retrieved from www.intestcom.org (accessed March 6, 2017).Google Scholar
International Test Commission. (2014). International Guidelines on the Security of Tests, Examinations, and Other Assessments. Retrieved from www.intestcom.org (accessed March 6, 2017).Google Scholar
International Test Commission. (2015). International Guidelines for Practitioner Use of Test Revisions, Obsolete Tests, and Test Disposal. Retrieved from www.intestcom.org (accessed March 6, 2017).Google Scholar
ISO. (2011). International standard for assessment service delivery procedures and methods to assess people in work and organizational settings ISO 10667-2. Retrieved from www.iso.org/iso/search.htm?qt=iso+10667-2&sort=rel&type=simple&published=on (accessed January 10, 2015).Google Scholar
Joinson, A. N., & Paine, C. B. (2007). Self-disclosure, privacy and the Internet. In Joinson, A., McKenna, K., Postmes, T., & Reips, U.-D. (Eds.), The Oxford handbook of Internet psychology (pp. 237252). Oxford: Oxford University Press.Google Scholar
Kaufman, A. S., Lichtenberger, E. O., Fletcher-Janzen, E., & Kaufman, N. L. (2005). Essentials of KABC-II assessment. Hoboken, NJ: John Wiley and Sons.Google Scholar
Kingston, N. M., Tiemann, G. C., Miller, H. L., & Foster, D. (2012). An analysis of the discrete-option multiple-choice item type. Psychological Test and Assessment Modeling, 54(1), 319.Google Scholar
Leach, M., & Oakland, T. (2007). Ethics standards impacting test development and use: A review of 31 ethics codes impacting practices in 35 countries. International Journal of Testing, 7, 7188.Google Scholar
Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley Publishing CompanyGoogle Scholar
Lord, W. (2007). NEO PI-R: A guide to interpretation and feedback in a work context. London: Hogrefe.Google Scholar
Messick, S. (1989). Validity. In Linn, R. L. (Ed.), Educational measurement (3rd ed.) (pp. 13103). New York: Macmillan.Google Scholar
Nel, J. A., Valchev, V. H., Rothmans, S., van de Vijver, F., Meiring, D., & de Bruin, G. P. (2012). Exploring the personality structure in the 11 languages of South Africa. Journal of Personality, 80(4), 915–948.Google Scholar
Oakland, T. (2012). Testing resources help promote test development and use in emerging countries. Presented at the 8th Conference of the International Test Commission, Amsterdam, July.Google Scholar
Oakland, T., & Harrison, P. L. (2008). ABAS-II: Clinical use and interpretation. San Diego: Academic Press.Google Scholar
Phelps, R. P. (2009). Correcting fallacies about educational and psychological testing. Washington, DC: American Psychological Association.Google Scholar
Ramsay, M. C., Reynolds, C. R., & Kamphaus, R. W. (2002). Essentials of behavioral assessment. New York: John Wiley and Sons.Google Scholar
Shermis, M. D., & Burstein, J. C. (2003). Automated essay scoring: A cross-disciplinary perspective. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Traub, R. (1997). Classical test theory in historical perspective. Educational Measurement: Issues and Practice, 16(4), 814.CrossRefGoogle Scholar
Vannest, K. J., Reynolds, C. R., & Kamphaus, R. W. (2008). BASC-2 intervention guide. Bloomington, MN: NCS Pearson.Google Scholar
Vannest, K. J., Reynolds, C. R., & Kamphaus, R. W. (2009). BASC-2 classroom intervention guide workbook 1: Externalizing and school problems. Bloomington, MN: NCS Pearson.Google Scholar

References

Association of Test Publishers. (2002). Guidelines for computer-based testing. Washington, DC: Association of Test Publishers.Google Scholar
The Council of Chief State School Officers & Association of Test Publishers. (2013). Operational best practices for statewide large-scale assessment programs. Washington, DC: The Council of Chief State School Officers and Association of Test Publishers.Google Scholar
Davey, T., & Nering, M. (2002). Controlling item exposure and maintaining item security. In Mills, C. N., Potenza, M. T.., Fremer, J. J., & Ward, W. C. (Eds.), Computer-based testing: Building the foundations for future assessments. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Folk, V. G., & Smith, R. L. (2002). Models for delivery of CBTs. In Mills, C., Potenza, M., Fremer, J., & Ward, W. (Eds.), Computer-based testing: Building the foundation for future assessments (pp. 4166). Mahwah, NJ: Erlbaum.Google Scholar
Foster, D. F., & Miller, H. L., Jr. (2009). A new format for multiple-choice testing: Discrete option multiple choice. Results from early studies. Psychology Science Quarterly, 51(4), 355–369.Google Scholar
Foster, D. F., & Miller, H. L., Jr. (2012). Global test security issues and ethical challenges. In Leach, M. M., Stevens, M. J., Lindsay, G., Ferrero, A., & Korkut, Y (Eds.), The Oxford handbook of international psychological ethics. New York: Oxford University Press.Google Scholar
Green, B. F. (1988). Construct validity of computer-based tests. In Wainer, H. & Braun, H. I. (Eds.), Test validity (pp. 7786). New York: Lawrence Erlbaum Associates.Google Scholar
International Test Commission. (2014). The ITC Guidelines on the Security of Tests, Examinations, and Other Assessments. Retrieved from www.intestcom.org/files/guideline_test_security.pdf (accessed November 15, 2016).Google Scholar
Maynes, D. (2009) Caveon speaks out on IT exam security: The last five years. Retrieved from http://caveon.com/articles/it_exam_security.htm (accessed November 15, 2016).Google Scholar
Merriam-Webster.com. (2016). Definition of security. Retrieved from www.merriam-webster.com/dictionary/security (accessed October 22, 2016).Google Scholar
Merriam-Webster.com. (2016). Definition of risk. Retrieved from www.merriam-webster.com/dictionary/risk (accessed October 22, 2016).Google Scholar
Tippins, N. T., Beaty, J., Drasgow, F., Gibson, W. M., Pearlman, K., Segall, D. O., & Shepherd, W. (2006) Unproctored internet testing in employment settings. Personnel Psychology, 59, 189225. doi:10.1111/j.1744-6570.2006.00909.xGoogle Scholar

References

Arthur, W., Glaze, R. M., Villado, A. J., & Taylor, J. E. (2010). The magnitude and extent of cheating and response distortion effects on unproctored Internet-based tests of cognitive ability and personality. International Journal of Selection and Assessment, 18, 116.Google Scholar
Arthur, W., Jr., Doverspike, D., Munoz, G. J., Taylor, J. E., & Carr, A. E. (2014). The use of mobile devices in high-stakes remotely delivered assessments and testing. International Journal of Selection and Assessment, 22, 113123.Google Scholar
ATP Test Security Survey Report. (2012). Association of Test Publishers.Google Scholar
Beaty, J. C., Grauer, E., & Davis, J. (2006). Unproctored Internet testing: Important questions and empirical answers. In J. C. Beaty (Chair), Unproctored Internet testing: What do the data say? Practitioner forum conducted at the 21st annual conference of the Society for Industrial and Organizational Psychology, Dallas, TX.Google Scholar
Beaty, J. C., Dawson, C. R., Fallaw, S. S., & Kantrowitz, T. M. (2009). Recovering the scientist-practitioner model: How IOs should respond to UIT. Industrial and Organizational Psychology: Perspectives on Science and Practice, 2, 5863.Google Scholar
Beaty, J. C., Nye, C., Borneman, M., Kantrowitz, T. M., Drasgow, F., & Grauer, E. (2011). Proctored versus unproctored Internet tests: Are unproctored tests as predictive of job performance? International Journal of Selection and Assessment, 19, 110.Google Scholar
Brault, M. W. (2010). Americans With Disabilities: 2010. Current Population Reports, 70-117, U.S. Census Bureau, Washington, DC, 2008. Retrieved from www.census.gov/prod/2012pubs/p70-131.pdf.Google Scholar
Cizek, G. J. (1999). Cheating on tests: How to do it, detect it, and prevent it. Mahwah, NJ: Erlbaum.Google Scholar
Delgado, K., Kung, M. C., & O’Connell, M. S. (2009). Differences between proctored and unproctored groups on management potential measure. Paper presented at the 24th annual meeting of the Society for Industrial and Organizational Psychology, New Orleans, LA.Google Scholar
Do, B., Shepherd, W. J., & Drasgow, F. (2005). Measurement equivalence across proctored versus unproctored testing with job incumbents. Paper presented at the 20th annual conference of the Society for Industrial and Organizational Psychology, Los Angeles.Google Scholar
Dolan, B. (2015). Pew: 64 Percent of US adults own a smartphone now. Retrieved from http://mobihealthnews.com/42077/pew-64-percent-of-us-adults-own-a-smartphone-now (accessed December 21, 2015).Google Scholar
Doverspike, D., Arthur, W. Jr., Taylor, J. E., & Carr, A. E. (2012). Mobile mania: Impact of device type on remotely delivered assessments. In J. C. Scott (Chair), Chasing the tortoise: Zeno’s paradox in technology-based assessment. Symposium presented at the 27th Annual Conference of the Society for Industrial and Organizational Psychology, San Diego, CA.Google Scholar
Drasgow, F., Luecht, R. M., & Bennett, R. (2006). Technology and testing. In Brennan, R. L. (Ed.), Educational measurement (4th ed., pp. 471516). Washington, DC: American Council on Education.Google Scholar
Fallaw, S., & Kantrowitz, T.M. (2011). Global assessment trends report. Technical Report. Alpharetta, GA, SHL.Google Scholar
Fallaw, S., Kantrowitz, T. M., & Dawson, C. R. (2012). Global assessment trends report. Technical Report. Alpharetta, GA: SHL.Google Scholar
Fetzer, M. (2009, April). Validity and utility of computer adaptive testing in personnel selection. Symposium presented at the Society for Industrial and Organizational Psychology Annual Conference, New Orleans, LA.Google Scholar
Fetzer, M., & Grelle, D. (2010). PreVisor ConVerge: The best practice for unproctored/unsupervised Internet testing. White paper. Alpharetta, GA: SHL.Google Scholar
Fursman, P. M., & Tuzinski, K. A. (2015, April). Reactions to mobile testing from the perspective of job applicants. Paper presented at the 30th annual conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Gartner (2015). Retrieved from www.gartner.com/newsroom/id/3088221 (accessed December 20, 2015).Google Scholar
Golubovich, J., & Boyce, A. (2013). Hiring tests: Trends in mobile test usage. In N. Morelli (Chair), Mobile devices in talent assessment: Where are we now? Symposium presented at the 28th Annual Conference of the Society of Industrial and Organizational Psychology, Houston, TX.Google Scholar
Guo, J., Tay, L. & Drasgow, F. (2009). Conspiracies and test compromise: An evaluation of the resistance of test systems to small-scale cheating. International Journal of Testing, 9, 283309.Google Scholar
Grelle, D., Gutierrez, S. L., & Fetzer, M. S. (2010). Validity of CAT in personnel selection. Paper presented at the International Association of Computer Adaptive Testing (IACAT) Conference, Arnhem, The Netherlands.Google Scholar
Gutierrez, S. L. (2011). Perceptions of fairness and opportunity to perform on CAT in personnel selection. Paper presented at the International Association of Computer Adaptive Testing Conference, Pacific Grove, CA.Google Scholar
Gutierrez, S. L. & Meyer, J. M. (2014). The mobile revolution: Measurement equivalence and mobile device administration. In T. Kantrowitz & C. M. Reddock (Chairs), Shaping the future of mobile assessment: Research and practice update. Symposium presented at the 29th Annual Conference of the Society for Industrial and Organizational Psychology, Honolulu, HI.Google Scholar
Gutierrez, S. L., Grelle, D., & Borneman, M. (2009). Computer adaptive measures of cognitive ability: Validity and utility. In M. S. Fetzer (Chair), Validity and utility of computer adaptive testing in personnel selection. Symposium conducted at the 24th Annual Society for Industrial and Organizational Psychology Conference, New Orleans, LA.Google Scholar
Gutierrez, S. L, Meyer, J. M., & Fursman, P. (2015, April). What exactly drives positive reactions to mobile device administration? In N. Morelli (Chair), Mobile devices in talent assessment: The next chapter. Symposium presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Hausknecht, J., Day, D. V., & Thomas, S. C. (2004). Applicant reactions to selection procedures: An updated model and meta-analysis. Cornell University ILR School, ILR Collection.Google Scholar
Illingworth, J., Morelli, N., Scott, J. C., & Boyd, S. (2014). Internet-based, unproctored assessments on mobile and non-mobile devices: Usage, measurement equivalence, and outcomes. Journal of Business and Psychology, 30, 2534.Google Scholar
Impelman, K. (2013). Mobile assessment: Who’s doing it and how it impacts selection. In N. Morelli (Chair), Mobile devices in talent assessment: Where are we now? Symposium presented at the 28th Annual Conference of the Society of Industrial and Organizational Psychology, Houston, TX.Google Scholar
International Testing Commission. (2006). International guidelines on computer-based and Internet-delivered testing. International Journal of Testing, 6, 143171.Google Scholar
Kantrowitz, T. M. (2014). Global assessment trends report. Technical report. Alpharetta, GA: CEB.Google Scholar
Kantrowitz, T. M., & Dainis, A. (2015). How secure are unproctored pre-employment tests? Analysis of inconsistent test scores. Journal of Business and Psychology, 29, 605616.Google Scholar
Kantrowitz, T. M., & Gutierrez, S. (2013). The security of employment testing: Practices that keep pace with evolving organizational demands and technology innovations. The Industrial-Organizational Psychologist, 50, 3342.Google Scholar
Kantrowitz, T. M., Fetzer, M. S., & Dawson, C. R. (2011). Computer adaptive testing (CAT): A faster, smarter, and more secure approach to pre-employment testing. Journal of Business and Psychology, 26, 227232.Google Scholar
King, D., Ryan, A. M., & Kantrowitz, T. M. (2014). Mobile and PC delivered assessments: Comparison of scores and reactions. Paper presented at the annual conference of the Society for Industrial and Organizational Psychology, Honolulu, HI.Google Scholar
King, D., Ryan, A. M., Kantrowitz, T. M., Grelle, G., & Dainis, A. (2015). Mobile Internet testing: An analysis of equivalence, individual differences, and reactions. International Journal of Selection and Assessment, 23(4), 382-394.Google Scholar
Kinney, T. B., Lawrence, A., & Change, L. (2014). Understanding the mobile experience: Data across device and industry. In T. Kantrowitz & C. M. Reddock (Chairs), Shaping the future of mobile assessment: Research and practice update. Symposium presented at the 29th Annual Conference of the Society for Industrial and Organizational Psychology, Honolulu, HI.Google Scholar
Kluemper, D. H., & Rosen, P. A. (2009). Future employment selection methods: Evaluating social networking web sites. Journal of Managerial Psychology, 24, 567580.Google Scholar
Landers, R. N., Reddock, C.M., Cavanaugh, K.J., & Proaps, A.B. (2014). Talent assessment using mobile devices. Paper presented in T. Kantrowitz (Chair) Shaping the future of mobile assessment: Research and practice update. Symposium presented at the 29th Annual Conference of the Society of Industrial and Organizational Psychology, Honolulu, HI.Google Scholar
Lawrence, A., Wasko, L., Delgado, K., Kinney, T., & Wolf, D. (2013). Does mobile assessment administration impact psychological measurement? In N. Morelli (Chair), Mobile devices in talent assessment: Where are we now? Symposium presented at the 28th Annual Conference of the Society of Industrial and Organizational Psychology, Houston, TX.Google Scholar
Lievens, F., & Burke, E. (2011). Dealing with the threats inherent in unproctored Internet testing of cognitive ability: Results from a large-scale operational test program. Journal of Occupational and Organizational Psychology, 84, 817824.Google Scholar
Macan, T. H., Avedon, M. J., Paese, M., & Smith, D. E. (1994). The effects of applicants’ reactions to cognitive ability tests and an assessment center. Personnel Psychology, 47, 715738.CrossRefGoogle Scholar
Makransky, G., & Glas, C. (2011). Unproctored Internet test verification: Using adaptive confirmation testing. Organizational Research Methods, 14, 608630.Google Scholar
Maynes, D. (2012). Busted! Tricks can be played by anti-cheaters too. Retrieved from www.caveon.com/busted-tricks-can-be-played-by-anti-cheaters-too/ (accessed April 24, 2014).Google Scholar
McClure, T.K., & Boyce, A. S. (2015). Selection testing: An updated look at trends in mobile device usage. In N. Morelli (Chair), Mobile devices in talent assessment: The next chapter. Symposium presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Mead, A. D., & Drasgow, F. (1993). Equivalence of computerized and paper-and-pencil cognitive ability tests: a meta-analysis. Psychological Bulletin, 114, 449–458.Google Scholar
Moclaire, C., Middleton, E., Fox, B., Foster, C., & Prettyman, T. (2012). Balancing security and efficiency in limited-size computer adaptive test libraries. Poster presented at the annual conference of the Society for Industrial and Organizational Psychology.Google Scholar
Morelli, N. A., Mahan, R. P., & Illingworth, A. J. (2014). Establishing the measurement equivalence of online selection assessments delivered on mobile versus non mobile devices. International Journal of Selection and Assessment, 22, 124138.Google Scholar
Morelli, N. A., Illingworth, A. J., Scott, J. C., & Lance, C. E. (2012). Are Internet-based, unproctored assessments on mobile and non-mobile devices equivalent? In J. C. Scott (Chair), Chasing the tortoise: Zeno’s paradox in technology-based assessment. Symposium presented at the 27th Annual Conference of the Society for Industrial and Organizational Psychology, San Diego, CA.Google Scholar
Nye, C. D., Do, B. R., Drasgow, F., & Fine, S. (2008). Two-step testing in employee selection: Is score inflation a problem? International Journal of Selection and Assessment, 16, 112120.Google Scholar
Pace, V., & Borman, W. (2006). The use of warnings to discourage faking on non-cognitive inventories. In M. Peterson and R. Griffith (Eds.), A closer examination of applicant faking behavior. Information Age Publishing. pp. 281–302.Google Scholar
Parker, B. N., & Meade, A. (2015). Smartphones in selection: Exploring measurement invariance using item response theory. In N. Morelli (Chair), Mobile devices in talent assessment: The next chapter. Symposium presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Pearlman, K. (2009). Unproctored Internet testing: Practical, legal, and ethical concerns. Industrial and Organizational Psychology: Perspectives on Science and Practice, 1, 1419.Google Scholar
Schneider, R. J., McLellan, R. A., Kantrowitz, T. M., Houston, J. S., & Borman, W. C. (2009). Criterion-related validity of an innovative CAT-based personality measure. Proceedings from the GMAC Conference on Computerized Adaptive Testing.Google Scholar
Smittle, P. (1993). Computer adaptive testing: A new era. Journal of Development Education, 17, 8–10.Google Scholar
Stogner, J. M., Miller, B. L., & Marcum, C. D. (2013). Learning to e-cheat: A criminological test of Internet facilitated academic cheating. Journal of Criminal Justice Education, 24, 175199.Google Scholar
Sullivan, J. (2014). The power has shifted to the candidate, so current recruiting practices will stop working. Retrieved from www.eremedia.com/ere/the-power-has-shifted-to-the-candidate-so-current-recruiting-practices-will-stop-working/.Google Scholar
Templer, K. J., & Lange, S. R. (2008). Internet testing: Equivalence between proctored lab and unproctored field settings. Computers in Human Behavior, 24, 12161228.Google Scholar
Tippins, N. T. (2009). Internet alternatives to traditional proctored testing: Where are we now? Industrial and Organizational Psychology: Perspectives on Science and Practice, 2, 210.Google Scholar
Van Iddekinge, C. H., Lanivich, S. E., Roth, P. L., & Junco, E. (2013). Social media for selection: Validity and adverse impact potential for a Facebook-based assessment. Journal of Management.Google Scholar
Whitley, B. (1998). Factors associated with cheating among college students: A review. Research in Higher Education, 39, 235274.Google Scholar
Wright, N. A., Meade, A. W., & Gutierrez, S. L. (2014). Using invariance to examine cheating in unproctored ability tests. International Journal of Selection and Assessment, 22, 1222.Google Scholar

References

Back, M. D., Stopfer, J. M., Vazire, S., Gaddis, S., Schmukle, S. C., Egloff, B., & Gosling, S. D. (2010). Facebook profiles reflect actual personality, not self-idealization. Psychological Science, 21, 372374.Google Scholar
Berger, J. (2015). Cybervetting: A common antecedents model. Doctoral dissertation at Bowling Green State University.Google Scholar
Berger, J., & Zickar, M. J. (2016). Theoretical propositions about cybervetting: A common antecedents model. In Landers, R. & Schmidt, G. (Eds.), Social Media and Personnel Selection (pp. 4357). Cham, Switzerland: Springer.Google Scholar
Berkelaar, B. L., & Buzzanell, P. M. (2015). Online employment screening and digital career capital exploring employers’ use of online information for personnel selection. Management Communication Quarterly, 29, 84113.Google Scholar
Bruno, B. (2016, January 11). Seven strategies your company should consider to attract talent in 2016. Retrieved from https://business.linkedin.com/talent-solutions/blog/recruiting-tips/2016/7-strategies-your-company-should-consider-to-attract-talent-in-2?utm_source=twitterfeed&utm_medium=twitter (accessed January 11, 2016).Google Scholar
Caers, R., & Castelyns, V. (2011). LinkedIn and Facebook in Belgium: The influences and biases of social network sites in recruitment and selection procedures. Social Science Computer Review, 29, 437448.Google Scholar
CareerBuilder. (2015). 35 percent of employers less likely to interview applicants they can’t find online. Retrieved from www.careerbuilder.com/share/aboutus/pressreleasesdetail.aspx?sd=5%2F14%2F2015&id=pr893&ed=12%2F31%2F2015 (accessed January 6, 2016).Google Scholar
Challenger, Gray, & Christmas, Inc. (2014, May 13). 60% of employers check your social media. Retrieved from www.challengergray.com/press/press-releases/survey-60-employers-checking-your-social-media (accessed January 6, 2016).Google Scholar
Davison, H. K., Maraist, C., & Bing, M. N. (2011). Friend or foe? The promise and pitfalls of using social networking sites for HR decisions. Journal of Business and Psychology, 26(2), 153159.Google Scholar
Davison, H. K., Maraist, C. C., Hamilton, R. H., & Bing, M. N. (2012). To screen or not to screen? Using the Internet for selection decisions. Employee Responsibilities and Rights Journal, 24(1), 121.Google Scholar
Dipboye, R. L., Fromkin, H. L., & Wiback, K. (1975). Relative importance of applicant sex, attractiveness, and scholastic standing in evaluation of job applicant resumes. Journal of Applied Psychology, 60(1), 3943.Google Scholar
Drake, J. R., & Furner, C. (2015). Screening job candidates with social media: A manipulation of disclosure requests. Paper presented at the 21st Americas Conference on Information Systems, Puerto Rico.Google Scholar
eBizMBA. (2016, January). Top 15 most popular social networking sites, January 2016. Retrieved from www.ebizmba.com/articles/social-networking-websites (accessed January 4, 2016).Google Scholar
Elefant, C. (2011). Power of social media: Legal issues and best practices for utilities engaging social media. The Energy Law Journal, 32, 155.Google Scholar
El Ouirdi, M., Segers, J., El Ouirdi, A., & Pais, I. (2015). Predictors of job seekers’ self-disclosure on social media. Computers in Human Behavior, 53, 112.Google Scholar
European Union. (1995). Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. Retrieved from http://eur-lex.europa.eu/legal-content/en/ALL/?uri=CELEX:31995L0046 (accessed January 11, 2016).Google Scholar
European Union. (2002). Directive on privacy and electronic communications. Retrieved from http://ec.europa.eu/justice/data-protection/individuals/index_en.htm (accessed January 11, 2016).Google Scholar
Harrison, J. A., & Budworth, M. H. (2015). Unintended consequences of a digital presence: Employment-related implications for job seekers. Career Development International, 20(4), 294314.Google Scholar
Hazelton, A. S., & Terhorst, A. (2015). Legal and ethical considerations for social media hiring practices in the workplace. The Hilltop Review, 7(2), 5359.Google Scholar
Kafka, P. (2013, May 18). Why Yahoo doesn’t think that Tumblr has a porn problem. Retrieved from http://allthingsd.com/20130518/why-yahoo-doesnt-think-tumblr-has-a-porn-problem/ (accessed January 4, 2016).Google Scholar
Karl, K., & Peluchette, J. (2013). Possibilities and pitfalls of using online social networking in human resources management. Psychology for Business Success, 4, 119138.Google Scholar
Kluemper, D. H., & Rosen, P. A. (2009). Future employment selection methods: Evaluating social networking web sites. Journal of Managerial Psychology, 24(6), 567580.Google Scholar
Kluemper, D. H., Rosen, P. A., & Mossholder, K. W. (2012). Social networking websites, personality ratings, and the organizational context: More than meets the eye? Journal of Applied Social Psychology, 42(5), 1143–1172.Google Scholar
Landers, R. N., & Callan, R. C. (2014). Validation of the beneficial and harmful work-related social media behavioral taxonomies development of the work-related social media questionnaire. Social Science Computer Review, 32(5), 628646.Google Scholar
Marcus, B., Machilek, F., and Schultz, A. (2006). Personality in cyberspace: Personal web sites as media for personality expressions and impressions. Journal of Personality and Social Psychology, 90, 6, 10141031.Google Scholar
Martin, A. J. (2016). Top EU data cop slams Safe Harbor replacement as inadequate. The Register. Retreived from www.theregister.co.uk/2016/05/31/eu_data_boss_says_safe_harbor_replacement_is_inadequate/ (accessed June 8, 2016).Google Scholar
McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of Applied Psychology, 100, 16531677.Google Scholar
Morans, J. (2013). The problem with LinkedIn endorsements – and 6 quick fixes. Retrieved from www.thesocialwhat.com/linkedin-endorsements-6-quick-fixes/ (accessed June 6, 2016).Google Scholar
Na, J., Kosinski, M., & Stillwell, D. J. (2015). When a new tool is introduced in different cultural contexts individualism – Collectivism and social network on Facebook. Journal of Cross-Cultural Psychology, 46(3), 355370.Google Scholar
Nikolaou, I. (2014). Social networking web sites in job search and employee recruitment. International Journal of Selection and Assessment, 22(2), 179189.Google Scholar
Ollington, N., Gibb, J., & Harcourt, M. (2013). Online social networks: An emergent recruiter tool for attracting and screening. Personnel Review, 42(3), 248265.Google Scholar
Ornstein, D., Collins, E. C., & Tarasewicz, Y. (2014). Social media in the workplace around the world 3.0. Retrieved from www.proskauer.com/files/uploads/social-media-in-the-workplace-2014.pdf (accessed January 14, 2016).Google Scholar
Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Kosinski, M., Stillwell, D. J., … & Seligman, M. E. (2015). Automatic personality assessment through social media language. Journal of Personality and Social Psychology, 108, 934952.Google Scholar
Ramasamy, V., & Raman, A. (2014). Recruitment in the social media age: An exploratory study. Proceedings of Eurasia Business Research Conference, June 16–18.Google Scholar
Roberts, S. J., & Clark, L. A. (2008). MySpace, Facebook, and other social networking sites: How are they used by human resource personnel? Delta Pi Epsilon, 35.Google Scholar
Rose, A., Timm, H., Pogson, C., Gonzalez, J., Appel, E., & Kolb, N. (2010). Developing a cybervetting strategy for law enforcement (Special Report). Retrieved from www.iacpsocialmedia.org/Portals/1/documents/CybervettingReport.pdf (accessed November 10, 2012).Google Scholar
Roth, P. L., Bobko, P., Van Iddekinge, C. H., & Thatcher, J. B. (2016). Social media in employee-selection-related decisions: A research agenda for uncharted territory. Journal of Management, 42, 269298.Google Scholar
Roulin, N. (2014). The influence of employers’ use of social networking websites in selection, online self‐promotion, and personality on the likelihood of faux pas postings. International Journal of Selection and Assessment, 22(1), 8087.Google Scholar
Scott, D. (2013, May). The 10 most popular social networks outside the U.S. Retrieved from www.complex.com/pop-culture/2013/05/10-popular-social-networks-from-around-the-world-you-should-know-about/ (accessed January 4, 2016).Google Scholar
Scott, M. (2015, December 15). Europe approves tough new data protection rules. New York Times. Retrieved from www.nytimes.com/2015/12/16/technology/eu-data-privacy.html (accessed January 11, 2016).Google Scholar
SHRM Staffing Research. (2008). Online technologies and their impact on recruitment strategies. Retrieved from www.shrm.org (accessed January 6, 2016).Google Scholar
Sinar, E., & Winter, J. (2012). Social media and selection: How online information helps – and hurts – your hiring practice. DDIDirections, 1–9.Google Scholar
SIOP. (2015, December 16). SIOP announces top 10 workplace trends for 2016. Retrieved from www.siop.org/article_view.aspx?article=1467 (accessed January 6, 2016).Google Scholar
Snyder, J., & Shahani‐Denning, C. (2012). Fairness reactions to personnel selection methods: A look at professionals in Mumbai, India. International Journal of Selection and Assessment, 20(3), 297307.Google Scholar
Van Iddekinge, C. H., Lanivich, S. E., Roth, P. L., & Junco, E. (2016). Social media for selection? Validity and adverse impact potential of a Facebook-based assessment. Journal of Management, 42(7), 1811–1835.Google Scholar
van Zoonen, W., Verhoeven, J. W., & Vliegenthart, R. (2016). How employees use Twitter to talk about work: A typology of work-related tweets. Computers in Human Behavior, 55, 329339.Google Scholar
Vazire, S., & Gosling, S. D. (2004). e-Perceptions: Personality impressions based on personal websites. Journal of Personality and Social Psychology, 87, 123132.Google Scholar
Walther, J. B., Van Der Heide, B., Kim, S. Y., Westerman, D., & Tong, S. T. (2008). The role of friends’ appearance and behavior on evaluations of individuals on Facebook: Are we known by the company we keep? Human Communication Research, 34(1), 2849.Google Scholar
Zide, J. (2016). LinkedIn versus resumes: The impact of person-organization fit. Paper presented at the Annual Conference of the Society for Industrial-Organizational Psychology, Anaheim, CA.Google Scholar
Zide, J., Elman, B., & Shahani-Denning, C. (2014). LinkedIn and recruitment: How profiles differ across occupations. Employee Relations, 36(5), 583604.Google Scholar

References

Arthur, W., Doverspike, D., Munoz, G. J., Taylor, J. E., & Carr, A. E. (2014). The use of mobile devices in high-stakes remotely delivered assessments and testing. International Journal of Selection and Assessment, 22(2), 113123.Google Scholar
Bejar, I. I. (1991). A methodology for scoring open-ended architectural design problems. Journal of Applied Psychology, 76, 522532Google Scholar
Bock, R. D., & Aitkin, M. (1981). Marginal maximum-likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443459.Google Scholar
Breithaupt, K., & Hare, D. (2016). Automated test assembly. In Drasgow, F. (Ed.), Technology and testing: Improving educational and psychological measurement (pp. 128141). New York: Routledge.Google Scholar
Burstein, J., Tetreault, J., & Madnani, N. (2013). The e-rater automated essay scoring system. Handbook of automated essay evaluation: Current applications and new directions (e-book) (pp. 5567). New York: Routledge/Taylor and Francis Group.Google Scholar
Chan, D., & Schmitt, N. (1997). Video-based versus paper-and-pencil method of assessment in situational judgment tests: Subgroup differences in test performance and face validity perceptions. Journal of Applied Psychology, 82, 143159.Google Scholar
Chernyshenko, O. S., & Stark, S. (2016). Mobile psychological assessment. In Drasgow, F. (Ed.), Technology and testing: Improving educational and psychological measurement (pp. 206216). New York: Routledge.Google Scholar
Chow, S., & Knelf, E. H. (2015, April). Gamifying psychometric assessments: Driving engagement for more data. Paper presented at 30th annual conference of the Society for Industrial and Organizational Psychology. Philadelphia, PA.Google Scholar
De Soete, B., Lievens, F., Oostrom, J. and Westerveld, L. (2013), Alternative predictors for dealing with the diversity–validity dilemma in personnel selection: The constructed response multimedia test. International Journal of Selection and Assessment, 21, 239250.Google Scholar
Desmarais, L. B., Masi, D. L., Olson, M. J., Barbera, K. M., & Dyer, P. J. (1994, April). Scoring a multimedia situational judgment test: IBM’s experience. Paper presented at the annual conference of the Society for Industrial and Organizational Psychology, Nashville, TN.Google Scholar
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 915). New York: ACM.Google Scholar
Doverspike, D., Arthur, W., Taylor, J. E., & Carr, A. E. (2012). Mobile mania: Impact of device type on remotely delivered assessment. Panel presentation at the 27th Annual Conference of the Society for Industrial and Organizational Psychology, San Diego, CA.Google Scholar
Drasgow, F. (1991, April). Chair of symposium “Multi-media computerized assessments of individuals.” Society for Industrial and Organizational Psychology, St. Louis.Google Scholar
Drasgow, F. (Ed.). (2016). Technology and testing: Improving educational and psychological measurement. New York: Routledge.Google Scholar
Drasgow, F., Luecht, R., & Bennett, R. (2006). Technology and testing. In Brennan, R. L. (Ed.), Educational measurement (4th ed., pp. 471515). Westport, CT: American Council on Education/Praeger.Google Scholar
Fursman, P. M., & Tuzinski, K. A. (2015, April). Reactions to mobile testing from the perspectives of job applicants. Paper presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Gierl, M. J., Lai, H., & Turner, S. (2012). Using automatic item generation to create multiple-choice items for assessments in medical education. Medical Education, 46, 757765.Google Scholar
Gierl, M. J., Zhou, J., & Alves, C. (2008). Developing a taxonomy of item models types to promote assessment engineering. Journal of Technology, Learning, and Assessment, 7, 151.Google Scholar
Glas, C. A. W., & van der Linden, W. J. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 247261.Google Scholar
Guo, J., Tay, L., & Drasgow, F. (2009). Conspiracies and test compromise: An evaluation of the resistance of test systems to small-scale cheating. International Journal of Testing, 9, 283309.Google Scholar
Gutierrez, S. L., & Meyer, J. M. (2013, April). Assessments on the go: applicant reactions to mobile testing. Paper presented at the 28th Annual Conference of the Society for Industrial and Organizational Psychology, Houston, TX.Google Scholar
Hanson, M. A., Borman, W. C., Mogilka, H. J., Manning, C., & Hedge, J. W. (1999). Computerized assessment of skill for a highly technical job. In Drasgow, F. & Olson-Buchanan, J. B. (Eds.), Innovations in computerized assessment (pp. 197–220). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Harmes, J. C., Parshall, C. G., Rendina-Gobioff, G., Jones, P. K., Githens, M. P., & Dennard, A. (2004, November). Integrating usability methods into the CBT development process: Case study of a technology literacy assessment. Paper presented at the annual meeting of the Florida Educational Research Association, Tampa, FL.Google Scholar
Holzinger, K. J., & Swineford, S. (1937). The bi-factor method. Psychometrika, 2, 4154.Google Scholar
Hulin, C. L., Drasgow, F., & Parsons, C. K. (1983). Item response theory: Application to psychological measurement. Homewood, IL: Dorsey Press.Google Scholar
Impelman, K. (2013, April). Mobile assessment: Who is doing it and how it impacts selection. Paper presented at the 28th Annual Conference of the Society for Industrial and Organizational Psychology Conference, Houston, TX.Google Scholar
Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25, 258272.Google Scholar
Kustis, G. A., Amorati, A., & Parachuri, S. (2015, April). Collecting data for new tests using Facebook games. Paper presented at 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Lievens, F., Burke, E., & Ditton, T. (2011). Dealing with the threats inherent in unproctored internet testing of cognitive ability: Results from a large-scale operational test program. Journal of Occupational and Organizational Psychology, 84, 817824.Google Scholar
Lievens, F., De Corte, W., & Westerveld, L. (2015). Understanding the building blocks of selection procedures: Effects of response fidelity on performance and validity. Journal of Management, 41, 16041627.Google Scholar
Luecht, R. M., & Nungester, R. J. (1998). Some practical applications of computerized adaptive sequential testing. Journal of Educational Measurement, 35, 229249.Google Scholar
Mead, A. D., & Drasgow, F. (1993). Equivalence of computerized and paper-and-pencil cognitive ability tests: A meta-analysis. Psychological Bulletin, 114, 449458.Google Scholar
Morelli, N. A., Mahan, R. P., & Illingworth, A. J. (2014). Establishing the measurement equivalence of online selection assessments delivered on mobile versus nonmobile devices. International Journal of Selection and Assessment, 22(2), 124–138.Google Scholar
Munson, L. (2013). New year, new workplace! SIOP Item of Interest. Retrieved from www.siop.org/article_view.aspx?article=1203 (accessed January 12, 2016).Google Scholar
Muthén, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17, 313335.Google Scholar
Muthén, L. K., and Muthén, B. O. (1998–2015). Mplus user’s guide (7th ed.) Los Angeles: Muthén and Muthén.Google Scholar
Nye, C. D., & Drasgow, F. (2011). Assessing goodness of fit: Simple rules of thumb simply do not work. Organizational Research Methods, 14, 548570.Google Scholar
Olson, J. B., & Keenan, P. A., (1991, June). Assessing administrative decision making skills. Paper presented at the meeting of the International Personnel Management Association Assessment Council, Chicago.Google Scholar
Olson-Buchanan, J. B., & Drasgow, F. (2006). Multimedia situational judgment tests: The medium creates the message. In Weekley, J. & Ployhart, R. E. (Eds.), Situational judgment tests: Theory, measurement, and application (pp. 253278). Mahwah, NJ: SIOP Frontiers Series. Lawrence Erlbaum Associates.Google Scholar
Olson-Buchanan, J. B., Drasgow, F., Moberg, P. J., Mead, A. D., Keenan, P. A., and Donovan, M. A. (1998), Interactive video assessment of conflict resolution skills. Personnel Psychology, 51, 124.Google Scholar
Oostrom, J. K., Born, M. Ph., Serlie, A. W., & Van der Molen, H. T. (2010). Webcam testing: Validation of an innovative open-ended multimedia test. European Journal of Work and Organizational Psychology, 19, 532550.Google Scholar
Oostrom, J. K., Born, M. P., Serlie, A. W., & van der Molen, H. T. (2011). A multimedia situational test with a constructed-response format. Journal of Personnel Psychology, 10, 78–88.Google Scholar
Parshall, C. G., Harmes, J. C., Davey, T., & Pashley, P. J. (2010). Innovative item types for computerized testing. In van der Linden, W. J. & Glas, C. A. W. (Eds.), Elements of adaptive testing (pp. 215230). New York: SpringerGoogle Scholar
Popp, E., & Coughlin, C. (2015, April). Examining equivalence of closed items in a game-like simulation. Paper presented at 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.Google Scholar
Richman-Hirsch, W. L, Olson-Buchanan, J. B., & Drasgow, F. (2000). Examining the impact of administration medium on examinee perceptions and attitudes. Journal of Applied Psychology, 85, 880887.Google Scholar
Segall, D. O. (1996). Multidimensional adaptive testing. Psychometrika, 61, 331354.Google Scholar
Sinharay, S., Puhan, G., & Haberman, S.J. (2010) Reporting diagnostic scores in educational testing: Temptations, pitfalls, and some solutions. Multivariate Behavioral Research, 45, 553573.Google Scholar
Stark, S., Chernyshenko, O. S., Drasgow, F., & White, L. A. (2012). Adaptive testing with multidimensional pairwise preference items: Improving the efficiency of personality and other noncognitive assessments. Organizational Research Methods, 15, 463–487. doi:10.1177/1094428112444611Google Scholar
Tatsuoka, K. K. (1990). Toward an integration of item response theory and cognitive error diagnosis. In Glaser, F. N., Lesgold, A., & Shafto, M. G. (Eds.), Diagnostic monitoring of skill and knowledge acquisition (pp. 453488). Hillsdale, NJ: Erlbaum.Google Scholar
Templin, J. (2016). Diagnostic assessment: Methods for the reliable measurement of multidimensional abilities. In Drasgow, F. (Ed.), Technology and testing: Improving educational and psychological measurement (pp. 285304). New York: Routledge.Google Scholar
Weiss, D. J. (1982). Improving measurement quality and efficiency with adaptive theory. Applied Psychological Measurement, 6, 473492.Google Scholar
Weiss, D. J., & Gibbons, R. D. (2007). Computerized adaptive testing with the bifactor model. In D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing. Retrieved from www.psych.umn.edu/psylabs/catcentral/pdffiles/cat07weiss&gibbons.pdf (accessed April 3, 2016).Google Scholar

References

Barrett, G. V., Phillips, J. S., & Alexander, R. A. (1981). Concurrent and predictive validity designs: A critical reanalysis. Journal of Applied Psychology, 66(1), 66.Google Scholar
Bauer, T. N., McCarthy, J. M., Anderson, N., Truxillo, D. M., & Salgado, J. (2012). What we know about applicant reactions on attitudes and behavior: Research summary and best practices. SIOP White Paper Series, Society for Industrial and Organizational Psychology.Google Scholar
Bobko, P., Roth, P. L., & Buster, M. A. (2007). The usefulness of unit weights in creating composite scores: A literature review, application to content validity, and meta-analysis. Organizational Research Methods, 10(4), 689709.Google Scholar
Breaugh, J. A. (2009). The use of biodata for employee selection: Past research and future directions. Human Resource Management Review, 19(3), 219231.Google Scholar
Caligiuri, P., & Paul, K. B. (2010). Selection in multinational organizations. In Farr, J. L. & Tippins, N. T. (Eds.), The handbook of employee selection. New York: Taylor and Francis.Google Scholar
Elkins, T. J., & Philips, J. S. (2000). Job context, selection decision outcome, and the perceived fairness of selection tests: Biodata as an illustrative case. Journal of Applied Psychology, 85(3), 479484.Google Scholar
Furtmueller, E., Wilderom, C., & Tate, M. (2011). Managing recruitment and selection in the digital age: e-HRM and resumes. Human Systems Management, 30(4), 243259.Google Scholar
Levashina, J., Hartwell, C. J., Morgeson, F. P., & Campion, M. A. (2014). The structured employment interview: Narrative and quantitative review of the research literature. Personnel Psychology, 67(1), 241293.Google Scholar
Lievens, F., Buyse, T., & Sackett, P. R. (2005). Retest effects in operational selection settings: Development and test of a framework. Personnel Psychology, 58(4), 9811007.Google Scholar
Manroop, L., Boekhorst, J. A., & Harrison, J. A. (2013). The influence of cross-cultural differences on job interview selection decisions. International Journal of Human Resource Management, 24(18), 35123533.Google Scholar
Reynolds, D. H., & Dickter, D. N. (2010). Technology and employee selection. In Farr, J. L. & Tippins, N. T. (Eds.), The handbook of employee selection. New York: Taylor and Francis.Google Scholar
Sackett, P. R., Schmitt, N., Ellingson, J. E., & Kabin, M. B. (2001). High-stakes testing in employment, credentialing, and higher education. American Psychologist, 56(4), 302.Google Scholar
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25(2), 216231.Google Scholar
Stone, D. L., Lukaszewski, K. M., Stone-Romero, E. F., & Johnson, T. L. (2013). Factors affecting the effectiveness and acceptance of electronic selection systems. Human Resource Management Review, 23(1), 5070.Google Scholar
Tippins, N. T. (2009). Internet alternatives to traditional proctored testing: Where are we now? Industrial and Organizational Psychology, 2(1), 210.Google Scholar

References

Attali, Y., & Arieli-Attali, M. (2015). Gamification in assessment: Do points affect test performance? Computers and Education, 83, 5763.Google Scholar
Ausburn, L. J. (2012). Learner characteristics and performance in a first-person online desktop virtual environment. International Journal of Online Pedagogy and Course Design, 2(2), 1124.Google Scholar
Baniqued, P. L., Lee, H., Voss, M. W., Basak, C., Cosman, J. D., Desouza, S., Kramer, A. F. (2013). Selling points: What cognitive abilities are tapped by casual video games? Acta Psychologica, 142(1), 7486.Google Scholar
Bartram, D. (1987). The development of an automated testing system for pilot selection: The MICROPAT project. Applied Psychology, 36(3–4), 279298.Google Scholar
Bartram, D., Poots, M., Hayes, S., & Bayliss, R. (1985). The effects of playing video games on performance on tests of tracking ability. Paper presented at the Ninth Congress of the International Ergonomics Association (pp. 484–486). Bournemouth, UK.Google Scholar
Bedwell, W. L., Pavlas, D., Heyne, K., Lazzara, E. H., & Salas, E. (2012). Toward a taxonomy linking game attributes to learning: An empirical study. Simulation and Gaming, 43(6), 729760.Google Scholar
Bruk-Lee, V., Drew, E. N., & Hawkes, B. (2013). Candidate reactions to simulations and media-rich assessments in personnel selection. In Simulations for personnel selection (pp. 4360). New York: Springer.Google Scholar
Bruk‐Lee, V., Lanz, J., Drew, E. N., Coughlin, C., Levine, P., Tuzinski, K., & Wrenn, K. (2016). Examining applicant reactions to different media types in character‐based simulations for employee selection. International Journal of Selection and Assessment, 24(1), 7791.Google Scholar
Buford, C. C. (2014). Cognitive ability and computer simulation. (Master’s thesis, The University of Tennessee at Chattanooga, Chattanooga, Tennessee.) Retreived from http://scholar.utc.edu/cgi/viewcontent.cgi?article=1125&context=theses (accessed March 29, 2016).Google Scholar
Center for Game Science. (2008). Foldit. Retrieved from http://centerforgamescience.org/blog/portfolio/foldit/ (accessed March 29, 2016).Google Scholar
Crooks, L. A. (1976). The selection and development of assessment center techniques. In Moses, J. L. & Byham, W. C. (Eds.), Applying the assessment center method (pp, 6988) New York: Pergamon.Google Scholar
De Lisi, R., & Wolford, J. L. (2002). Improving children’s mental rotation accuracy with computer game playing. The Journal of Genetic Psychology, 163(3), 272282.Google Scholar
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011, September). From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th International Academic Mindtrek Conference: Envisioning Future Media Environments (pp. 915) New York: ACM.Google Scholar
Dittrich, J. (1977). Realism in business games: A three-game comparison. Simulation and Gaming, 8(2), 201210.Google Scholar
DuVernet, A. M., & Popp, E. (2014). Gamification of workplace practices. TIP: The Industrial-Organizational Psychologist, 52, 3944.Google Scholar
Foldit, (n.d.) Frequently asked questions. Retrieved from https://fold.it/portal/info/faq (accessed March 29, 2016).Google Scholar
Hawkes, B. (2013). Simulation technologies. In Fetzer, M. & Tuzinski (Eds.), K., Simulations for personnel selection (1st ed., pp. 6182). New York: Springer.Google Scholar
Hughes, M. G., Day, E. A., Wang, X., Schuelke, M. J., Arsenault, M. L., Harkrider, L. N., & Cooper, O. D. (2013). Learner-controlled practice difficulty in the training of a complex task: Cognitive and motivational mechanisms. Journal of Applied Psychology, 98(1), 80.Google Scholar
Huotari, K., & Hamari, J. (2012). Defining gamification – a service marketing perspective. Proceeding of the 16th International Academic MindTrek Conference. (pp. 1722) New York: ACM.Google Scholar
IBM. (2011). The FOUR Vs of Big Data. Retrieved from www-01.ibm.com/software/data/bigdata/images/4-Vs-of-big-data.jpg (accessed June 4, 2016).Google Scholar
International Organization for Standardization. (2011a) Assessment service delivery – Procedures and methods to assess people in work and organizational settings – Part 1: Requirements for the client. ISO 10667-1:2011(E). Geneva: Author.Google Scholar
International Organization for Standardization. (2011b). Assessment service delivery – Procedures and methods to assess people in work and organizational settings – Part 2: Requirements for service providers. ISO 10667-2:2011(E). Geneva: Author.Google Scholar
International Test Commission. (2006). International guidelines on computer-based and Internet delivered testing. International Journal of Testing, 6, 143172.Google Scholar
Juul, J. (2003). The game, the player, the world: Looking for a heart of gameness. Copier, M. and Raessens, J. (Eds). Proceedings of level-up: Digital games research conference (pp. 3045). Utrecht: University of Utrecht.Google Scholar
Karweit, N., & Livingston, S. A. (1969). Group versus individual performance and learning in a computer game: An exploratory study. Baltimore, MD: Johns Hopkins University. Retrieved from http://files.eric.ed.gov/fulltext/ED032789.pdf (accessed June 4, 2016).Google Scholar
Kelly, R., Greitzer, F., & Hershman, R. (1981). Air defense: A computer game for research in human performance. San Diego, CA: Navy Personnel Research and Development Center.Google Scholar
Landers, R. N. (2015). An introduction to game-based assessment: Frameworks for the measurement of knowledge, skills, abilities and other human characteristics using behaviors observed within videogames. International Journal of Gaming and Computer-Mediation Simulations, 7(4), ivviii.Google Scholar
Landers, R. N., Bauer, K. N., Callan, R. C., & Armstrong, M. B. (2015). Psychological theory and the gamification of learning. In Gamification in education and business (pp. 165186). Switzerland: Springer International Publishing.Google Scholar
Laumer, S., Eckhardt, A., & Weitzel, T. (2012). Online gaming to find a new job – Examining job seekers’ intention to use serious games as a self-assessment tool. German Journal of Human Resource Management: Zeitschrift Für Personalforschung, 26(3), 218240.Google Scholar
Less Rain. (2012). Insanely Driven. Interact. Film. Retrieved from www.lessrain.co.uk/#/work/insanely-driven (accessed March 29, 2016).Google Scholar
Marriott. (2011). My Marriott Hotel™ opens its doors on Facebook. Retrieved from http://news.marriott.com/2011/06/my-marriott-hotel-opens-its-doors-on-facebook.html (accessed March 29, 2016).Google Scholar
Meneghetti, C., Borella, E., & Pazzaglia, F. (2016). Mental rotation training: Transfer and maintenance effects on spatial abilities. Psychological Research, 80(1), 113127.Google Scholar
Mennecke, B. E., Hassall, L. M., & Triplett, J. (2008). The mean business of Second Life: Teaching entrepreneurship, technology and e-commerce in immersive environments. MERLOT Journal of Online Teaching and Learning, 4(3), 339.Google Scholar
Motowidlo, S. J., Dunnette, M. D., & Carter, G. W. (1990). An alternative selection procedure: The low-fidelity simulation. Journal of Applied Psychology, 75(6), 640.Google Scholar
Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. In Handbook of positive psychology (pp. 239263). Oxford: Oxford University Press.Google Scholar
Oostrom, J. K., Born, M. P., Serlie, A. W., & van der Molen, H. T. (2011). A multimedia situational test with a constructed-response format. Journal of Personnel Psychology, 10, 7888.Google Scholar
Quiroga, M. Á, Escorial, S., Román, F. J., Morillo, D., Jarabo, A., Privado, J., … Colom, R. (2015). Can we reliably measure the general factor of intelligence (g) through commercial video games? Yes, we can! Intelligence, 53, 17.Google Scholar
Richardson, A. E., Powers, M. E., & Bousquet, L. G. (2011). Video game experience predicts virtual, but not real navigation performance. Computers in Human Behavior, 27(1), 552560.Google Scholar
Richman-Hirsch, W. L., Olson-Buchanan, J. B., & Drasgow, F. (2000). Examining the impact of administration medium on examinee perceptions and attitudes. Journal of Applied Psychology, 85(6), 880.Google Scholar
Riley, P. (n.d.). Should we play? Gamification in assessment and selection. Retrieved from https://ptc.bps.org.uk/sites/ptc.bps.org.uk/files/Documents/Assessment&DevelopmentMatters/Riley-GamificationArticle.pdf (accessed March 29, 2016).Google Scholar
Schreier, J. W., & Komives, J. L. (1977). Assessment of entrepreneurial skills using simulations. Paper presented at the 4th Annual Conference of the North American Simulation and Gaming Association, Los Angeles, CA.Google Scholar
Shute, V. J. (2011). Stealth assessment in computer-based games to support learning. Computer Games and Instruction, 55(2), 503524.Google Scholar
Shute, V. J., Ke, F., & Wang, L. (2017). Assessment and adaptation in games. In Wouters, P. & van Oostendorp, H. (Eds.), Techniques to facilitate learning and motivation of serious games (pp. 59–78). New York: Springer.Google Scholar
Sims, V. K., and Mayer, R. (2002). Domain specificity of spatial expertise: The case of video game players. Applied Cognitive Psychology 16(1), 97115.Google Scholar
Thornton, G. C., III. (1971). The validity of assessment centers. Paper presented at the Rocky Mountain Psychological Association Convention, Denver, CO.Google Scholar
TMP Worldwide. (2010). Reveal by L’Oréal. Case Study.Retrieved from www.tmp.com/upload/library/2780_L’Oreal_Reveal_Case-Study_2010-04-07_APPROVED.pdf (accessed April 24, 2014).Google Scholar
Van Lankveld, G., Schreurs, S., Spronck, P., & Van Den Herik, J. (2011). Extraversion in games. In H. J. van den Herik, H. Iida and A. Plaat (Eds.), Proceedings of the Computer and Games Conference 2011. Lecture Notes in Computer Science, 6515 (pp. 207–220). Berlin: Springer.Google Scholar
Yee, N. (2014). The Proteus Paradox: How online games and virtual worlds change us – And how they don’t. New Haven, CT: Yale University Press.Google Scholar
Zapata-Rivera, D., & Bauer, M. (2012) Exploring the role of games in educational assessment. In Clarke-Midura, J., Mayrath, M., and Robinson, D. (Eds.), Technology-based assessments for 21st century skills: Theoretical and practical implications from modern research (pp. 147169). Charlotte, NC: Information Age Publishing.Google Scholar

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