Aim - A general expression of what the researcher intends to investigate
Hypothesis - A precise and operationalized statement about the assumed
... [Show More] relationship between variables
Directional Hypothesis - States the direction of the predicted difference between two conditions or two groups of participants
Non-directional Hypothesis - Predicts simply that there is a difference between two conditions or two groups of participants without stating the direction of the difference
Independent Variable - Some event that either naturally varies or is directly manipulated by an experiment in order to test its effect on another variable
Dependent Variable - A measurable outcome of the action of the independent variable in an experiment
Operationalize - Ensuring that variables are in a form that can be easily measured.
Experimental method - A researcher causes the independent variable to vary and records the effect of the IV on the dependent variable. The DV must be operationalized.
Control - (Refers to) the extent to which any variable is held constant or regulated by a researcher
Extraneous Variables - 'Nuisance' variables that do not vary systematically with the IV. A researcher may control some of these.
Confounding Variable - Change systematically with the IV so we cannot be sure if any observed change in the DV is due to the CV or the IV. CVs must be controlled.
Demand Characteristics - Refers to any cue from the researcher or research situation that may reveal the aim of the study
Investigator Effect - Any effect of the investigator's behavior on the outcome of the research (the DV)
Randomization - The use of chance when designing investigations to control for the effects of bias
Standardization - Using exactly the same formalized procedures for all PS in a research study
Control groups - Control groups are used for the purpose of setting a comparison. They act as a 'baseline' and help establish causation.
Single Blind Design - A PS doesn't know the aims of the study so that demand characteristics are reduced.
Double Blind Design - Both PS and researcher don't know the aims of the study to reduce demand characteristics and investigator effects.
Participant Variables - Individual differences. Differences among participants, overcome by a large sample size which dilutes any extremes
Situational Variables - People act differently in different situations. Time of day, Lab setting vs Natural setting. [Show Less]