PSYC512: Research Methods Lecture 14 Brian P. Dyre University of Idaho PSYC512: Research Methods Lecture 14 Outline Review of Lecture 13 Multifactor research – using two or more independent variables Mixed Designs More on research design Covariates and Quasi-experimentation Small-n designs and Psychophysical Methods PSYC512: Research Methods Combining Experimental and Correlational Designs Covariates in experimental designs Measure your subjects on a covariate—a variable that you believe may be correlated with your dependent variable If left unmeasured these covariates add error variance and might obscure significant effects Measuring the covariate allows you to use correlational statistical techniques in your analysis (e.g., Analysis of Covariance or ANCOVA) to “subtract out” the error variance associated with the covariate, thereby increasing the statistical power of your experiment Example: measuring IQ in a learning experiment PSYC512: Research Methods Combining Experimental and Correlational Designs Quasi-independent variable in experimental designs “Quasi” means “kind of, but not really” Similar to including a covariate, except measurement of covariate is used to assign Ss to groups Covariate is thus treated as an quasi-independent variable Quasi-independent variables are referred to as “quasi” because they cannot be manipulated, they are essentially dependent variables (measures) that are treated as independent variables in the experimental design and analysis PSYC512: Research Methods Quasi-experimental Designs Quasi-experimental designs are those in which only quasiindependent variables are used Time series vs. pretest-posttest designs Time series: Measure behavior several times prior to and following a treatment (time series design) or change in your quasi-independent variable (interrupted time series design) Pretest-posttest: Measure behavior once prior to and once following the change in your independent variable PSYC512: Research Methods Quasi-experimental Designs Equivalent time samples design Time-series design especially useful for treatments with transient effects Repeatedly measure behavior following multiple applications and withdrawals of the treatment Non-equivalent control group designs – helps control for history confounds which should affect both groups equally PSYC512: Research Methods Developmental Designs Used to assess changes in behavior related to a person’s chronological age, which serves as a quasi-independent variable Cross-sectional designs Simultaneously test subjects assigned to two or more age groups Generational effects can confound the age variable Longitudinal designs Repeatedly test a single group of subjects over time Controls for generational effects—but, may still limit external validity May be confounded by history, mortality, and/or multiple observation effects Cohort-sequential design Combines longitudinal and cross-sectional designs by measuring multiple age groups over time which allows evaluation of generational or historical confounds PSYC512: Research Methods Single Subject Research Designs Research that focuses on identifying functional relationships between variables and performance of a single subject (e.g., behavioral analysis and psychophysics) Typically involve Large number of observations Rigid experimental control Investigations of powerful variables whose effects are easily detected PSYC512: Research Methods Baseline Designs Same as time-series design Time series: Measure behavior several times prior to and following a treatment Two phases (A and B) A: baseline phase to establish behavioral baseline performance on DV prior to treatment, requires that a stability criterion be reached B: intervention phase that measures performance on DV after treatment PSYC512: Research Methods Baseline Reversal Designs Problem: Time confound Solution: ABA Design— reverse the treatment by removing it and see if performance returns to baseline (unlikely to occur by coincidence) Problem with reversal: now behavior is at baseline again Solution: ABAB design A PSYC512: Research Methods B A B Multiple Baseline Designs Used to assess irreversible changes in behavior Assess multiple independent behaviors and introduce treatment to only one behavior at a time Controls for time effects (history, maturation) PSYC512: Research Methods Discrete Trials Designs (Psychophysical Techniques) Used to determine thresholds and difference thresholds (just-noticeable differences or JNDs) Ss receive dozens or hundreds of trials under tightly controlled conditions Methods Method of Constant Stimuli Method of Adjustment Method of Limits PSYC512: Research Methods Classical Psychophysical Methods Fechner’s Elements (1860) Absolute threshold (limen): how much energy must exist in a stimulus for it to be detectable? 1.01 Probability of Detection of Psychophysics Predicted by absolute threshold Probability of Detection P abs( 50 ) Distribution of “absolute” threshold “Real World” P real( 50 , 10 ) 10. P T ( 50 , 10 ) 0.5 0.5 0 20 40 60 80 E Amount of Stimulus Energy Amount of Stimulus Energy Subliminal: below threshold Superliminal: above threshold PSYC512: Research Methods 100 Methods for Determining Thresholds Method of adjustment Intensity or feature of stimulus is changed until it matches a standard Hysteresis requires both ascending and descending trials Average match across ascending and descending determines threshold Fast, but least accurate PSYC512: Research Methods Methods for Determining Thresholds Method of Limits (discrete method of adjustment) Like method of adjustment except adjustment is done in discrete steps whose size is controlled by the experimenter Hysteresis requires both ascending and descending trials Average match across ascending and descending determines threshold Variant: Staircase method PSYC512: Research Methods Methods for Determining Thresholds Probability of Detection Method of Constant Stimuli Choose 5-9 stimuli, some above, some below threshold Present in random order threshold equals amount of stimulus energy that detected 50% of the time Slowest but most accurate 1.01 Probability of Detection P abs( 50 ) P real( 50 , 10 ) 10. P T ( 50 , 10 ) 0.5 0.5 Threshold 0 20 40 60 80 E Amount of Stimulus Energy Amount of Stimulus Energy For all Methods: sensitivity = 1/threshold PSYC512: Research Methods 100 Next Time… More on experimentation Small-n designs PSYC512: Research Methods