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What is a basic experimental design
One independent and one dependent variable
What are complex experimental designs and what are two of them
Multiple variables
Factorial designs: multiple IV
Multivariate designs: multiple DV
2×2 between subjects factorial design: how many independent variables does it have
2 because 2 (IV) x 2 (IV) factorial design
other example: 3×3 factorial design
has 2 IV’s because 3 (iv) x 3 (iv) design
2 number 3’s
2×2 between subjects factorial design: how many conditions does it have
4 because 2×2 = 4
other eg, 3×3 design
has 9 conditions because 3×3 = 9
2×2 between subjects factorial design: how many levels does it have
2 levels for IV1 and 2 levels for IV2
other example
3×3 = 3 levels for IV1, 3 levels for IV2
3×4 = 3 levels for IV1, 4 levels for IV2
why is 2×2 between subjects factorial design a between subjects design
Different participants in the various conditions
what is a confirmatory hypotheses
the researcher specifies what effects they expect to find
based on prior knowledge
predicts the outcome of a specific relationship or phenomenon
tested through carefully designed experiments or studies
goal is to validate or confirm what is already believed to be true.
what is an exploratory hypotheses
The researcher does not specify what results will be found
discovering new relationships or patterns.
formed when there is limited existing knowledge about a phenomenon.
generate new ideas, insights, or theories by exploring the data without a specific prediction in mind.
gain a better understanding of the subject and to formulate new, testable hypotheses.
what effects do factorial designs have
main effects
interaction effects
another name for IV
categorial predictor and factor
what is a main effect
individual influence of each independent variable on the dependent variable, without considering the other independent variables.
what is an interaction effect
effect of one independent variable on the dependent variable depends on the level of another independent variable.
combined effect of independent variables
An effect of one IV on the DV depending on the level of the other IV.
factorial design interaction effects graph meanings (how do u plot them, lines crossing, lines not crossing not parallel, lines not crossing but parralel)
plot the cells mean then make a line of best fit
lines crossing = interaction
opposite effect of variable on dependent variable because of other variable
line not crossing + non parallel = interaction
Effect is exaggerated for one predictor on outcome than other predictor
lines not crossing + parallel = NOT interaction
IV isn’t influenced by other IV
when IV has more then two levels for IV (3×4): main effect
A main effect does not clarify which levels differ
what is a post hoc test
used when factorial has more then 2 levels for IV
allow researchers to compare the means of the levels of the IV
Higher-Order Factorial Designs: Effects
A 2 x 2 x 2 higher-order design has three main effects, three two-way interactions, and one three-way interaction. More complex higher-order designs with four or more independent variables are rare
Higher-Order Factorial Designs: Plots
Three-way interaction plots often visualize the effect of two variables at the level of a third variable in different plots.
what is repeated measures complex design, what does is increase, and what should we be careful of
Participants are exposed to all levels of the independent variable
Increased statistical power
Be wary of order effects, interference effects, fatigue, and other confounds
what is a mixed design and give an example
Includes between-subjects and repeated-measures design features
We randomly assign participants to study in either a re-reading or retrieval practice condition and have all participants take a test in a hot and cold room.
This is a 2 (Between factor: re-reading or retrieval practice study method) x 2 (Within factor: hot and cold room temperature) between-within mixed design
how many participants do complex designs, interaction effects and smaller effects need and why
Complex designs require more participants for appropriate power
Interaction effects require more participants than main effects
Smaller effects require more participants
what should researchers focus on when conducting a study
focus on conducting larger, well-powered studies