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Weighted Application Blank (WAB) Process

Weighted Application Blank (WAB) Process. Chose criterion Identify criterion groups (e.g., low and high absenteeism) 3) Select items (the more the better) 4) Determine response categories (e.g., true, false; continuum) 5) Determine the weights for each item (e.g., use of regression)

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Weighted Application Blank (WAB) Process

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  1. Weighted Application Blank (WAB) Process • Chose criterion • Identify criterion groups (e.g., low and high absenteeism) • 3) Select items (the more the better) • 4) Determine response categories (e.g., true, false; continuum) • 5) Determine the weights for each item (e.g., use of regression) • 6) Estimate amount of shrinkage (e.g., cross-validation) • 7) Evaluate hold-out group scores • 8) Determine cut-off scores

  2. Some WAB Concerns • No single WAB is useful for all jobs • Comparability of sample (generalization) • Change in criterion • Change in nature of job(s) across time • Legal issues (e.g., use of demographic data) • 6) Changes in the organization

  3. Biographical Data (Bio-Data)Process • Choose a specific job • Use of job analysis to select items (use of FJA to cover broader job domains e.g., responsibility, work conditions) and define life history domain (e.g., criterion to use) • Form hypotheses regarding life history background and experience • Construct bio-data items (cover relevant experience domains) • Screen and pilot-test the items • Score bio-data items (single versus multiple scores)

  4. Sample Biographical Information Blank Items • During high school, how many times did you make the honor roll? • How much freedom or independence did your parents allow you in grade school? • How important did your favorite high school teachers stress discipline in the • classroom? • How many times did you change schools before you were sixteen years old? • Compared to other people in high school, how many friends did you have? • How old were you when you spent your first week (or more) away from your • parents? • How bothered are you if you a job is left undone? • How often do you read craft and mechanics magazines? • How quickly do you normally work? • How well do you feel you can understand the feelings of others? • How well do you tolerate performing routine tasks?

  5. Bio-Data [Why does it work?] • Use of life history items e.g., personal background, life experiences, interests (past behavior is best predictor of future behavior) • Only relevant (empirically significant) items are selected • Correlation between BIB content and criterion • Wide range of information (lots of different questions and types)

  6. Bio-Data (cont) • Reliability: .60 to .80 across several studies [higher for more verifiable items] • Validity: Many validity coefficients above .30 • Accuracy: Some distortions exist. Mainly on unverifiable items (e.g., interests, preferences) and more if desirability of answers is apparent (e.g., faking can occur)

  7. Some Bio-Data Issues • Situational specificity • Need large sample to construct properly • Assumption of a “correct” life history • Pure empirical approach (e.g., versus content approach) • Legal issues (e.g. adverse impact, validity, reliability)

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