Applies the principles of psychology to the workplace
Purpose of I/O Psychology
To enhance the dignity and performance of human beings, and the organizations they work in, by advancing the science and knowledge of human behavior
I/O Psychology
Examines factors that affect the people in an organization
Focus almost exclusively on issues involving the people in an organization
Relies extensively on research, quantitative methods, and testing techniques
Use empirical data and statistics
Reliance on the scientist-practitioner model
Business Fields
Broader aspects of running an organization such as marketing channels, transportation networks, and cost accounting
Examine such areas as accounting, economics, and marketing
I/O psychologists are not clinical psychologists who happen to be in industry, and they do not conduct therapy for workers
Major Fields of I/O Psychology
Industrial Approach (the "I" in I/O psychology)
Organizational Approach (the "O" in I/O psychology)
Industrial Approach
Determining the competencies needed to perform a job
Staffing the organization with employees who have those competencies
Increasing those competencies through training
Organizational Approach
Creates an organizational structure and culture that will motivate employees to perform well
Give them the necessary information to do their jobs
Provide working conditions that are safe and result in an enjoyable and satisfying work/life environment
Subfields of I/O Psychology
Personnel Psychology
Organizational Psychology
Human Factors/Ergonomics
Personnel Psychology
Concentrates on the selection and evaluation of employees
Analyzing jobs, recruiting applicants, selecting employees, determining salary levels, training employees, and evaluating employee performance
Organizational Psychology
Investigates the behavior of employees within the context of an organization
Concerned with the issues of leadership, job satisfaction, employee motivation, organizational communication, conflict management, organizational change, and group processes within an organization
Often conduct surveys of employee attitudes to get ideas about what employees believe are an organization's strengths and weaknesses
Human Factors/Ergonomics
Concentrating on the interaction between humans and machines
Workplace design, human machine interaction, ergonomics, and physical fatigue and stress
Frequently work with engineers and other technical professionals to make the workplace safer and more efficient
Draw a map, designing the most comfortable chair, and investigating the optimal work schedule
Brief History of I/O Psychology
Walter Dill Scott (1903)
Hugo Münsterberg (1910)
Industrial Psychology
World War I
John Watson
Henry Gantt
Thomas A. Edison
Frank Gilbreth and Lillian Moller Gilbreth
1930s
Hawthorne Studies
1960s
1970s
1980s and 1990s
2000s
Hawthorne Effect
Employees change their behavior due solely to the fact that they are receiving attention or are being observed
Employment of I/O Psychologists
Colleges and Universities
Consulting Firms
Private Sector
Public Sector
Research in I/O Psychology
Answering Questions and Making Decisions
Research and Everyday Life
Common Sense Is Often Wrong
Considerations in Conducting Research
Ideas, Hypotheses, and Theories
Literature Reviews
The Location of the Study
Research Method
Subject Samples
Hypothesis
Educated prediction about the answer to a question
Theory
A systematic set of assumptions regarding the cause and nature of behavior
Types of Periodicals
Journals
Bridge Publications
Trade Magazines
Magazines
The Internet is prone to inaccurate information
External Validity/Generalizability
The extent to which research results can be expected to hold true outside the specific setting in which they were obtained
Internal Validity
Loses in control of extraneous variables that are not of interest to the researcher
Research Methods
Experiments
Quasi-experiments
Archival research
Surveys
Meta-analysis
Manipulation
The alteration of a variable by an experimenter in expectation that the alteration will result in a change in the dependent variable
Independent Variable
The manipulated variable in an experiment
Dependent Variable
The measure of behavior that is expected to change as a result of changes in the independent variable
Effect size
A statistic that indicates the amount of change caused by an experimental manipulation
Mean Effect Size
A statistic that is the average of the effect sizes for all studies included
Correlation coefficients (r)
Used as the effect size, resulting from performing a correlation, that indicates the magnitude and direction of a relationship
Difference score (d)
Used as the effect size, indicates how many standard deviations separate the mean score for the experimental group from the control group
Practical significance
Extent to which the results of a study have actual impact on human behavior
Types of Samples
Random Sample
Convenience Sample
Random Assignment
Difference score (d)
Used as the effect size. Indicates how many standard deviations separate the mean score for the experimental group from the control group.
Difference score (d)
Less than .40: considered as small
Between .40 and .80: moderate
Higher than .80: large
.44: average effect size for an organizational intervention
Subject Samples
Random Sample: Every member of the relevant population had an equal chance of being chosen to participate in the study
Convenience Sample: Nonrandom research sample that is used because it is easily available
Random Assignment: Unbiased assignment of subjects in a research sample to the various experimental and control conditions
Running the Study
1. All instructions to the subjects be stated in a standardized fashion and at a level that is understandable
2. Debriefed: Informing the subject in an experiment about the purpose of the study in which he or she was a participant and providing any other relevant information
Statistical Analysis
Significance levels: Statistical significance, Indicate only the level of confidence we can place on a result being the product of chance and nothing about the strength of the results
Effect Sizes: Practical significance of a study
Correlation: To determine the relationship between two variables
Intervening Variable: Third variable that can often explain the relationship between two other variables
Correlation Coefficient: Result of correlational analysis, Range from 1 to 1, (+) and (-) signs: Direction of the correlation
Ethical Dilemmas
Ambiguous situations that require a personal judgment of what is right or wrong because there are no rules, policies, or laws guiding such decisions
Types of Ethical Dilemmas
Type A Dilemma: High level of uncertainty as to what is right or wrong, there appears to be no best solution, and there are both positive and negative consequences to a decision
Type B Dilemma: Also called rationalizing dilemmas, Individuals know what is right but choose the solution that is most advantageous to themselves