Industrial and Organizational Psychology

Industrial and Organizational Psychology

Industrial and Organizational Psychology Methods For I/O Research Copyright Paul E. Spector, All rights reserved, March 15, 2005 Research Purpose Solve an organizational problem Answer a scientific question Exploratory research Theory-testing research

Research Design Concepts Variables Independent vs. dependent Research Setting Field vs. Laboratory Generalizability Control Randomization Random assignment Random selection

Confounding Research Designs Design: Structure of a scientific study Experiment Quasi-experiment Survey design Cross-sectional Longitudinal

Observational design Unobtrusive method Qualitative study Measurement Categorical vs. continuous Classical measurement theory Observed = True + Error Reliability Internal consistency vs. test-retest

Validity Face Content Criterion-related Construct Statistics: Descriptives Most I/O research uses statistical methods Descriptive statistics

Measures of central tendency Mean, Median, and Mode Measures of variability Variance and standard deviation Correlation Relationship between two variables Regression Mathematical function relating two variables Plot of Two Variables Correlated At .50

Statistics: Inferential Inferential statistics Drawing conclusions about relationships Statistical significance Based on probability .05 significance level by convention Statistical tests

Independent group t-test Analysis of Variance (ANOVA) Factorial ANOVA T-test for correlation Multiple regression Meta-analysis Cumulating results across multiple studies Ethics of Research General principle: Do No Harm Standards American Psychological Association

Academy of Management Protecting health and well-being of research participants Informed consent Confidentiality Ethical dilemmas Interests of the employee vs. the organization

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