PSY255 - Exam 1 Flashcards
Industrial Organizational Psychology
The application of psychological principles/theory and research to the work setting.
- Science: scientific methods to test hypotheses
- Psychology: understand people as individuals and their behavior.
Industrial Psychology
Individual differences
–Recruiting/selection/training/performance management
Organizational Psychology
Social/motivation
–Teams/leadership/justice/work-life balance.
Different from HR
Application of psychological principles is not there.
Focus on people –> organization goals are secondary
Emphasis on scientific method
Purpose of IO Psych
Design systems for organizations –> selection/training
Discover ways of improving workplaces for the greater well-being of employees and greater productivity.
Usually work with systems, not one-on-one.
Scientist-Practitioner Model: Scientist
Scientist: theory + research –> understand individual/group/organizational behavior through research.
*****Generator of Knowledge
Scientist-Practitioner Model: Practitioner
Practitioner: apply I/O psychology to work settings. External/internet consultants
*****Consumer/Applier of Knowledge
Knowledge Generation
Description: what?
Explanation: why?
Prediction: when?
Control
Micro-research
Study of individual research.
Macro-research
Study of collective behavior.
Meso-research
Interaction between individual and collective behavior.
Scientifi Method
Define research question/gather information.
Form Explanatory hypotheses.
Test hypotheses by gathering data.
Analyze data.
Interpret data/draw conclusions.
Publish results (benefits others and joins the conversation of what findings are).
Retest (not only done by original scientist and may be done outside of original country).
Develop Research Idea/Question
Can come from observation of a problem.
Can come from a theory.
Hypotheses
Prediction/expectation based on knowledge obtained.
Alternative Hypothesis
What you predict to occur: must be something other than ‘nothing will happen.’
Null Hypothesis
Statement that the alternative hypothesis is false.
This is what is being disproven in experiments.
Independent Variable
The predictor, or what is being manipulated in an experiment.
Dependent Variable
The outcome of having changed something in a controlled environment.
Control
Extent to which confounds are eliminated.
Negative correlation with Generalizability.
Generalizability
Extent to which findings apply outside the experimental setting.
Negative correlation with Control.
Experimental Design
Random assignment of participants to conditions.
Non-experimental Design
Doesn’t include treatment/assignment to different conditions.
Observational/survey/correlational design.
More than 50% of IO studies are done in the field.
Quasi-Experimental
Non-random assignment of participants to conditions.
Statistical Power
Likelihood of finding statistically significant difference when true difference exists.
Smaller the sample size, the lower the power to detect a true/real difference.
Statistical Significance
Probability that the results found are due to chance.
Generally accept results that have less than 5% probability of being due just to chance
–> p<.05
Descriptive Statistics
Describing what data looks like: mean median mode.
Inferential Statistics
Making inferences about people given the actual data. Spread of the measurements --Variability: spread of data --S.D.: how far most data is from mean --Skewness: positive/negative
Correlation (r)
Relationship between 2 variables. Positive/negative, strength from 0-1.