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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)

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course appl 655 practical applications in i o psychology
Course: APPL 655 Practical Applications in I/O Psychology
  • Tom Mitchell, U. of Baltimore, (Instructor)
  • Mike Sturman, Cornell U. (Data generator)

U. Baltimore / 3rd Annual Teaching

capstone course in i o u of baltimore m s in applied
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

U. Baltimore / 3rd Annual Teaching

capstone course objectives
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

U. Baltimore / 3rd Annual Teaching

competencies demonstrated
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

U. Baltimore / 3rd Annual Teaching

course characteristics
Course Characteristics
  • Real problems
    • Mundane realism
    • Experimental realism
  • Dynamic: projects
    • Change over time
    • Progress over time
  • Interactive: Information exchange
    • Client <-> Instructor <-> Team

U. Baltimore / 3rd Annual Teaching

course format
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

U. Baltimore / 3rd Annual Teaching

course format con t
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

U. Baltimore / 3rd Annual Teaching

course format dynamic interactive
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

U. Baltimore / 3rd Annual Teaching

course materials
Course Materials
  • Course description
  • Client organizations
  • Case assignments
  • Assessment

U. Baltimore / 3rd Annual Teaching

tech tools
Tech Tools
  • MS Office: Word/Excel/Ppoint
  • SPSS
  • Webboard / email
  • Data generator (DataSim)

U. Baltimore / 3rd Annual Teaching

datasim mike sturman
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

U. Baltimore / 3rd Annual Teaching

datasim sturman
DataSim (Sturman)
  • Unlimited number of:
    • Cases
    • Constructs / variables
    • Correlation matrix (user specified)

Variable characteristics (user specified)

U. Baltimore / 3rd Annual Teaching

datasim sturman13
DataSim (Sturman)
  • Constructs
    • Number of items (vars)
    • Reliability (internal consistency)
  • Construct characteristics can be:
    • Normal (continuous)
    • Categorical (2 – 12)
    • Custom continuous

U. Baltimore / 3rd Annual Teaching

item types char
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

U. Baltimore / 3rd Annual Teaching

project process team
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

U. Baltimore / 3rd Annual Teaching

project process instructor
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

U. Baltimore / 3rd Annual Teaching

project process team17
Project Process: Team
  • Analyses data using SPSS
  • Incorporates results in report
  • Forwards report to Instructor for critique

U. Baltimore / 3rd Annual Teaching

example sel3 alum alum corp
Example: Sel3: Alum Alum Corp.
  • Selection of mid-managers
  • Concurrent Validation study
  • Demos:
    • Race/gender/education
  • Predictors:
    • WPT/WGCTA/CPI
  • Criteria:
    • Supervisor ratings

U. Baltimore / 3rd Annual Teaching

conclusion of capstone sim
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

U. Baltimore / 3rd Annual Teaching

uses of datasim
Uses of DataSim
  • Research methods
    • Simulate data for proposals
    • Test “pilot” data for studies
  • Statistics courses
    • Create data sets for examples
  • Assessment

Develop unique data set for each student

U. Baltimore / 3rd Annual Teaching

suggestions
Suggestions?
  • For Capstone course?
  • For DataSim?
    • Other uses?
    • What you would like it to do?

U. Baltimore / 3rd Annual Teaching

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