PSY202 - Exam #1

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Last updated 5:16 PM on 9/24/23
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173 Terms

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Objectives of I/O

help org function, more effectively, understand work behavior, enhance well-being of employees

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Scientist-Practitioner Model

I/O scientists conduct research, practitioners apply principles to the workplace

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Industrial (1944)

management perspective of organizational efficiency through use of human resources

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Industrial examples

job analysis, performance appraisal, selection, training, human factors/ergonomics

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Organizational (1970)

concerned with understanding behavior and enhancing well-being of employees

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Organizational example

job satisfaction, motivation, job stress, work/family balance

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Hugo Munsterburg

Father of I/O, studied selection testing (trolley cars, ship captains)

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First industrial text

Psychology and Industrial Efficiency (1913)

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Walter Dill Scott

2nd father of psychology (PhD 1900), selection (first biographical data), speech on advertising, first consulting firm

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Frederick Winslow Taylor

mechanical engineer, invented scientific management, “one best method”

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Time + Motion studies

maximize efficiency for company/$$ for employee, created monotonous work (boring, no creativity)

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“Efficiency experts”

Amazon’s warehouses

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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

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Importance of 1917

first issue of Journal of Applied Psychology

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Robert Yerkes

1st group intelligence tests to assess recruits

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Army Alpha

to determine job classification

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Army Beta

30% illiterates and foreign language speakers

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Human Relations Movement

focus on interpersonal, attiudinals factors

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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

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Hawthorne Studies results

optimal rest breaks, changed/shortened work day = increased productivity

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Incentives

resistance against “work hard, paid more”

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Hawthorne effect

positive changes in behavior resulting from being observed (not from experimental manipulation)

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Cockpit engineering

Human Factors field began

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Army General Classification Test

situation stress tests, innovative assessment methods

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Title VII of Civil Rights Act (CRA) of 1964

no discrimination in employment against protected classes (15 or more employees)

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Protected classes

race/color, national origin, religion, gender

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Disparate treatment

intentional - members of a protected class singled out and treated less favorably

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June 2020

discrimination because of sex/sexual orientation violates Title VII

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Disparate impact

unintentional discrimination

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Pregnancy Discrimination Act (1978)

pregnant women must be treated as if they have a disability (or better)

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Age Discrimination in Employment Act

40 + over protected

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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

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Essential functions

job duties of an employee must perform

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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

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Ledbetter v Goodyear

must file lawsuit within 180 days after pay is first set (OBAMA REVERSED SUPREME COURT DECISION)

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“The Great Resignation”

50 million quit jobs after COVID

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Quiet quitting

doing what is required and no more

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Variables

an attribute or characteristic of people or things that can vary

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Predictor variables

measured to predict/forecast the value of criterion variable

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Criterion

predicted (also MEASURED) by the predictor variables

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Types of research studies

questionnaire/survey, experiment (lab/field), quasi-experiment

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Survey

self-report to obtain data on attitudes/behaviors, employee behaviors that hurt org or employees

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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

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Sampling bias

a sample is not representative of population

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Phrasing of question

wording counts, avoid double-barreled q’s

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Response bias

tendency for particular q’s to be answered in a particular

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Social Desirability responding

people tend to present themselves in a way we think others will find desirable

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Surveys cannot

determine cause + effect relationships among variables

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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

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Random assignment helps to eliminate

confounding

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Confounding

when 2 or more variables are intertwined in such a way that conclusions cannot be drawn about either one

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Confounding example

effects of safety on number of job accidents

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Lab

phenomenon studied in unnatural context (controlled)

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Field

phenomenon is studied in its naturally occurring context

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Lab pros and cons

much control over experiment, lack realism, less able to make generalizations to real organizational behavior, easier to replicate

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Field pros and cons

less control, difficult to manipulate IV, realistic, results are generalizable to real org behavior, difficult to get access to orgs

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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

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Descriptive statistics

describe data, mean, variability, correlation, meta-analysis

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Inferential statistics

make inferences

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Variability

how much scores tend to vary or depart from the mean

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Correlation coefficient

statistic that suggests whether 2 variables are related and how strongly, usually measured or observed but NOT MANIPULATED

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Correlation characteristics

direction + strength

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Positive correlation

both variables move in same direction

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Negative correlation

variables move in the opposite direction

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Strength

numerical indication of degree of relationship between 2 variables

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Correlation does not

imply causation

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Meta-analysis

quantitative way of combining results of research studies already conducted

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Descriptive statistics do not allow

to generalize about people who weren’t members of the sample

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Job analysis

family of formal methods for describing jobs and human attributes necessary for jobs, process of collecting information

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Job description

end product

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Job oriented job analysis

gather information about jobs themselves, position, duties, tasks, activities + elements

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Position

collection of duties

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Duty

major components of a job

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Duty example

professor teaches students

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Task

complete piece of work that accomplishes some objective

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Task example

professor prepares lecture

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Activity

individual parts that make up the task

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Activity example

professor reads textbook

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Element

actions that make up the activities

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Element example

professor takes book off bookshelves

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Duties and tasks

used most frequently

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Person oriented job analysis

gathers information about human characteristics required to perform the job

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KSAOs

knowledge, skills, abilities, other characteristics

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Knowledge

what a person needs to know how to do a particular job

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Knowledge example

hairstylist needs to know types of cut, hair care

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Skill

what a person is able to do on the job, developed capacities, present observable competence (speaking, writing, negotiation, persuasion)

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Skill example

can cut + style hair, listening

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Ability

the person’s aptitude or capability to do job tasks or learn to do job tasks, stable, enduring attributes (cognitive, sensory, physical)

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Ability example

arm-hand steadiness, finger dexterity

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Other personal characteristics

anything relevant to job that is not covered by other three categories, often related to attitudes and personality

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Other personal characteristics example

friendly, likes interacting with others

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Methods of conducting job analysis

subject matter experts

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SMEs

job incumbents (person who holds current position), job supervisors

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Personal interview advantages

trust is essential, detailed information is provided, multiple perspectives, tasks that are not observable are described, good for “thinking” jobs

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Personal interview DISadv

memory of SME/exaggeration, omission, fails to show context/setting

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Observation ADV

more objective than interview, context is shown, good for manual jobs

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Observation DISadv

poor for '“thinking” jobs

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Diary ADV

detailed (lots of information) - but uncommon

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Diary DISadv

time-consuming for employee

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Analyst performs job ADV

shows context