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Course: APPL 655 Practical Applications in I/O Psychology Tom Mitchell, U. of Baltimore, (Instructor)
Div of Applied Psychology & Quant Methods [email protected] http://home.ubalt.edu/tmitch
Mike Sturman, Cornell U. (Data generator) Organizational Mgt, Communication, and Law
[email protected] (607) 255-5383
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Capstone Course in I/O ΨU. of Baltimore M.S. in Applied Ψ
M.S. Curriculum in I/O (42 hours) Personnel (I):
Job analysis / personnel / assessment Organizational (O):
Org psych / mot-sat-leadership Core:
Research methods / stats
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Capstone Course Objectives Apply SKAs to real HR problems Integrate knowledge from I and O Ψ Bridge gap between theory and
practice Gain experiential teamwork
experience Demonstrate competencies
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Competencies Demonstrated Core SKAs:
Conduct job analysis Develop performance appraisal Develop employee selection program Assess employee morale Analyze data
Software utilization Communication / Interpersonal skills:
Report writing Oral presentation of findings Teamwork skills
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Course Characteristics Real problems
Mundane realism Experimental realism
Dynamic: projects Change over time Progress over time
Interactive: Information exchange Client <-> Instructor <-> Team
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Course Format Applied Psychology Consultants Inc
. APC, Inc. (virtual consulting firm)
Instructor(s) = Senior consultant Students = Junior consultant
Three projects each (sel/pa/sat) Team Leader on one of projects
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Course Format (con’t)
Cases: Real world organizations (disguised) From consulting work Projects tailored to fit problem
Each Team: Assess problem Generate solutions Implement solutions Write report / present to mgt
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Course Format (dynamic/interactive)
Instructor responds / reacts to identified problems changes/redirects (via memos) to proposed solutions to interventions
Provides simulated feedback (data)
To confirm/disconfirm hypotheses critique / recommendations
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Course Materials Course description Client organizations Case assignments Assessment
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Tech Tools MS Office: Word/Excel/Ppoint SPSS Webboard / email Data generator (DataSim)
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DataSim (Mike Sturman)
Visual Basic program Creates data sets to user
specifications Saves simulation / data in txt file
For import into Excel/SPSS/SAS/ etc. Importing existing data Add additional vars later
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DataSim (Sturman)
Unlimited number of: Cases Constructs / variables Correlation matrix (user specified)
Variable characteristics (user specified)
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DataSim (Sturman)
Constructs Number of items (vars) Reliability (internal consistency)
Construct characteristics can be: Normal (continuous) Categorical (2 – 12) Custom continuous
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Item types & char Normal continuous
Min/max/ mean/ sd Truncate / winsorize
Categorical 2 to 12 Proportion of each category
Custom - continuous Median / sd Skew level (+ to -) Tail elongation
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Project Process: Team Identifies problem Formulates hypotheses Develops assessment plan Requests data from org
Develops or finds existing measures (tests/inventory/survey)
Creates SPSS data structure / parameters
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Project Process: Instructor
Accepts or recommends changing structure
Creates data set to meet Team specs To confirm/disconfirm hypotheses
Returns completed data set to team for analysis
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Project Process: Team Analyses data using SPSS
Incorporates results in report
Forwards report to Instructor for critique
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Example: Sel3: Alum Alum Corp.
Selection of mid-managers Concurrent Validation study Demos:
Race/gender/education Predictors:
WPT/WGCTA/CPI Criteria:
Supervisor ratings
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Conclusion of Capstone Sim Assesses student competencies Requires integration of SKAs Experiential (mundane/exp realism) Provides student with portfolio item Provides instructor with feedback
strengths/weaknesses of curriculum
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Uses of DataSim Research methods
Simulate data for proposals Test “pilot” data for studies
Statistics courses Create data sets for examples
AssessmentDevelop unique data set for each
student
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