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Objectives of I/O
help org function, more effectively, understand work behavior, enhance well-being of employees
Scientist-Practitioner Model
I/O scientists conduct research, practitioners apply principles to the workplace
Industrial (1944)
management perspective of organizational efficiency through use of human resources
Industrial examples
job analysis, performance appraisal, selection, training, human factors/ergonomics
Organizational (1970)
concerned with understanding behavior and enhancing well-being of employees
Organizational example
job satisfaction, motivation, job stress, work/family balance
Hugo Munsterburg
Father of I/O, studied selection testing (trolley cars, ship captains)
First industrial text
Psychology and Industrial Efficiency (1913)
Walter Dill Scott
2nd father of psychology (PhD 1900), selection (first biographical data), speech on advertising, first consulting firm
Frederick Winslow Taylor
mechanical engineer, invented scientific management, “one best method”
Time + Motion studies
maximize efficiency for company/$$ for employee, created monotonous work (boring, no creativity)
“Efficiency experts”
Amazon’s warehouses
Principles of scientific management (1911)
scientifically analyze the jobs/tasks, scientifically select employees on characteristics that help them perform tasks, train carefully, monetary rewards for productivity
Importance of 1917
first issue of Journal of Applied Psychology
Robert Yerkes
1st group intelligence tests to assess recruits
Army Alpha
to determine job classification
Army Beta
30% illiterates and foreign language speakers
Human Relations Movement
focus on interpersonal, attiudinals factors
Hawthorne Studies (1924-32)
Western Electric Company, determine impact of physical conditions on productivity - first studies to show how employee attitudes and interpersonal relationships affect productivity
Hawthorne Studies results
optimal rest breaks, changed/shortened work day = increased productivity
Incentives
resistance against “work hard, paid more”
Hawthorne effect
positive changes in behavior resulting from being observed (not from experimental manipulation)
Cockpit engineering
Human Factors field began
Army General Classification Test
situation stress tests, innovative assessment methods
Title VII of Civil Rights Act (CRA) of 1964
no discrimination in employment against protected classes (15 or more employees)
Protected classes
race/color, national origin, religion, gender
Disparate treatment
intentional - members of a protected class singled out and treated less favorably
June 2020
discrimination because of sex/sexual orientation violates Title VII
Disparate impact
unintentional discrimination
Pregnancy Discrimination Act (1978)
pregnant women must be treated as if they have a disability (or better)
Age Discrimination in Employment Act
40 + over protected
Americans with Disabilities Act of 1990
physical or mental impairment that limits one or more major life activities of a person - must hire if can perform essential functions of job w/ or w/o accommodation
Essential functions
job duties of an employee must perform
Reasonable accommodation
providing or modifying equipment or devices, part-time or modified work schedules, training materials or policies, providing readers/interpreters, making workplace readily accessible
Ledbetter v Goodyear
must file lawsuit within 180 days after pay is first set (OBAMA REVERSED SUPREME COURT DECISION)
“The Great Resignation”
50 million quit jobs after COVID
Quiet quitting
doing what is required and no more
Variables
an attribute or characteristic of people or things that can vary
Predictor variables
measured to predict/forecast the value of criterion variable
Criterion
predicted (also MEASURED) by the predictor variables
Types of research studies
questionnaire/survey, experiment (lab/field), quasi-experiment
Survey
self-report to obtain data on attitudes/behaviors, employee behaviors that hurt org or employees
Random selection
every person in our population has an equal change of being included in our sample (rarely used) —> helps generalize results obtained from sample to population
Sampling bias
a sample is not representative of population
Phrasing of question
wording counts, avoid double-barreled q’s
Response bias
tendency for particular q’s to be answered in a particular
Social Desirability responding
people tend to present themselves in a way we think others will find desirable
Surveys cannot
determine cause + effect relationships among variables
Experiment (lab/field)
can assess cause and effect, IV is manipulated, at least 2 levels of IV (to be compared), DV is measured, participants have to be randomly assigned
Random assignment helps to eliminate
confounding
Confounding
when 2 or more variables are intertwined in such a way that conclusions cannot be drawn about either one
Confounding example
effects of safety on number of job accidents
Lab
phenomenon studied in unnatural context (controlled)
Field
phenomenon is studied in its naturally occurring context
Lab pros and cons
much control over experiment, lack realism, less able to make generalizations to real organizational behavior, easier to replicate
Field pros and cons
less control, difficult to manipulate IV, realistic, results are generalizable to real org behavior, difficult to get access to orgs
Quasi-experiment
used when you cannot randomly assign subjects to level of the IV, manipulation of IV, measurement of DV, at least 2 levels of IV, no random assignment = confounding
Descriptive statistics
describe data, mean, variability, correlation, meta-analysis
Inferential statistics
make inferences
Variability
how much scores tend to vary or depart from the mean
Correlation coefficient
statistic that suggests whether 2 variables are related and how strongly, usually measured or observed but NOT MANIPULATED
Correlation characteristics
direction + strength
Positive correlation
both variables move in same direction
Negative correlation
variables move in the opposite direction
Strength
numerical indication of degree of relationship between 2 variables
Correlation does not
imply causation
Meta-analysis
quantitative way of combining results of research studies already conducted
Descriptive statistics do not allow
to generalize about people who weren’t members of the sample
Job analysis
family of formal methods for describing jobs and human attributes necessary for jobs, process of collecting information
Job description
end product
Job oriented job analysis
gather information about jobs themselves, position, duties, tasks, activities + elements
Position
collection of duties
Duty
major components of a job
Duty example
professor teaches students
Task
complete piece of work that accomplishes some objective
Task example
professor prepares lecture
Activity
individual parts that make up the task
Activity example
professor reads textbook
Element
actions that make up the activities
Element example
professor takes book off bookshelves
Duties and tasks
used most frequently
Person oriented job analysis
gathers information about human characteristics required to perform the job
KSAOs
knowledge, skills, abilities, other characteristics
Knowledge
what a person needs to know how to do a particular job
Knowledge example
hairstylist needs to know types of cut, hair care
Skill
what a person is able to do on the job, developed capacities, present observable competence (speaking, writing, negotiation, persuasion)
Skill example
can cut + style hair, listening
Ability
the person’s aptitude or capability to do job tasks or learn to do job tasks, stable, enduring attributes (cognitive, sensory, physical)
Ability example
arm-hand steadiness, finger dexterity
Other personal characteristics
anything relevant to job that is not covered by other three categories, often related to attitudes and personality
Other personal characteristics example
friendly, likes interacting with others
Methods of conducting job analysis
subject matter experts
SMEs
job incumbents (person who holds current position), job supervisors
Personal interview advantages
trust is essential, detailed information is provided, multiple perspectives, tasks that are not observable are described, good for “thinking” jobs
Personal interview DISadv
memory of SME/exaggeration, omission, fails to show context/setting
Observation ADV
more objective than interview, context is shown, good for manual jobs
Observation DISadv
poor for '“thinking” jobs
Diary ADV
detailed (lots of information) - but uncommon
Diary DISadv
time-consuming for employee
Analyst performs job ADV
shows context