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Introduction to Behavioral Research Methods Ch. 10
Terms in this set (18)
One way designs
experimental designs in which only one independent variable is manipulated
Two group experimental design
there are only two levels of the independent variable (and thus, two conditions)
the dependent variable is measured only after the experimental manipulation has occurred
Pretest posttest designs
researchers measure the dependent variable twice - once before the independent variable is manipulated and again afterward
administering a pretest may sensitize participants to respond to the independent variable differently than they would respond if they are not pretested
an experimental design in which two or more independent variables are manipulated
an independent variable
Randomized groups factorial designs (completely randomized factorial design)
participants are assigned randomly to one of the possible combinations of the independent variables
Matched-subjects factorial design
involves first matching participants into blocks on the basis of some variable that correlates with the dependent variable. There will be as many participants in each matched block as there are experimental conditions. Then the participants in each block are randomly assigned to one of the n experimental conditions.
Repeated measures (or within subjects) factorial design
requires participants to participate in every experimental condition.
Mixed factorial design / between within design / split plot factorial design
a design that combines one or more between-subjects variables with one or more within-subjects variables
the effect of a single independent variable in a factorial design (ignoring the effects of the others)
the combined effect of two or more independent variables such that the of one independent variable differs across the levels of the other independent variables
Participant variables (subject variables)
a personal characteristic of research participants, such as age, gender, self-esteem, or extraversion
Expericorr (expericorr/mixed) factorial designs
combine features of an experimental design in which independent variables are manipulated and features of correlational designs in which participant variables are measured.
the researcher identifies the median of the distribution of participants' scores on the variable of interest, and then classifies participants with scores below the median as low on the variable and those with scores above as high.
Extreme groups procedure
the researcher pretests a large number of potential participants, then selects participants for the experiment whose scores are unusually low or high on the variable of interest
a variable that qualifies or moderates the effects of another variable on behavior
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