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To Proctor or Not To Proctor? Balancing Business Needs With Validity in Online Assessment
2 references·1 citing·16 second hop
To Proctor or Not To Proctor? Balancing Business Needs With Validity in Online Assessment (2009)To Proctor or Not To Proctor? Balancing B…Internet Alternatives to Traditional Proctored Testing: Where Are We Now? (2009)Internet Alternatives to Trad…A meta-analytic review of predictors of job performance for salespeople. (1998)A meta-analytic review of pre…Applicant Reactions to Technology‐Based Selection: What We Know So Far (2011)Applicant Reactions to Techno…Inequity In Social Exchange (1965)Procedural Justice: A Psychological Analysis (1976)What Should Be Done with Equity Theory? (1980)Candidate Reactions to Simulations and Media-Rich Assessments in Personnel Selection (2013)Personality Structure: Emergence Of The 5-Factor Model (1990)THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS (1991)The job satisfaction-job performance relationship: A qualitative and quantitative review. (2001)Five-factor model of personality and job satisfaction: A meta-analysis. (2002)POSITIVE PSYCHOLOGICAL CAPITAL: MEASUREMENT AND RELATIONSHIP WITH PERFORMANCE AND SATISFACTION (2007)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)Ethical standards of psychologists (1953)“Ethical Principles of Psychologists and Code of Conduct” (2000)UNPROCTORED INTERNET TESTING IN EMPLOYMENT SETTINGS (2006)Personality and Cognitive Ability as Predictors of Effective Performance at Work (2013)The influence of technology on the future of human resource management (2015)Theory and Technology in Organizational Psychology: A Review of Technology Integration Paradigms and Their Effects on the Validity of Theory (2020)
this work references cited by second hop

References

  • 1998A meta-analytic review of predictors of job performance for salespeople.510 cited
  • 2009Internet Alternatives to Traditional Proctored Testing: Where Are We Now?94 cited

Cited by

  • 2011Applicant Reactions to Technology‐Based Selection: What We Know So Far22 cited

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