stats Flashcards

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1
Q

one way ANOVA

A

tests for mean differences in the DV across multiple levels of an IV

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2
Q

applied behavior analysis

A

translational research, frequency, both basic and applied, no control group

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3
Q

Archival research

A

involves carefully observing what has happened in the past, uses data that already exists

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4
Q

between subjects variables

A

will contrast two conditions of an IV between two groups of people, can’t be in both groups

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5
Q

within-subjects variables

A

will contrast two conditions of an IV within the same group of people

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6
Q

external and internal validity

A

external: generalizability, internal: describes the extent to which the experiment is free of errors and differences in the DV are due only to the IV

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7
Q

regression

A

a procedure used to predict a score on one variable from a score on another variable and multiple regression performs the same procedure using multiple variables for a single outcome

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8
Q

reliability

A

exists when researchers obtain the same results with consistency, interrater reliability is the ability for different experimenters to get the same result

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9
Q

validity

A

exists when researchers are accurately measuring something

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10
Q

construct validity

A

measures constructs should correlate with things if they’re related to and shouldn’t correlate with things they’re not related to

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11
Q

empirical questions

A

must be answerable with quantitative or qualitative data, have operational defined variables

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12
Q

operational definition

A

example a researcher wants to determine if depression is related to grades, a detailed explanation of technical terms and measurements used during data collection

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13
Q

converging operations

A

means that our confidence in a result increases when experiments with different operational definitions and procedures converge the same conclusion

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14
Q

confound

A

an extraneous variable that correlates with the IV, can control confounds by designing your exp. to eliminate them or statistically controlling them

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15
Q

complete counterbalancing

A

means all possible sequences of conditions are used ABC CBA etc.

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16
Q

Partial counterbalancing

A

means only some possible sequences of conditions are used

17
Q

reverse counterbalancing

A

presents the conditions in one order and then the opposite order more than once

18
Q

block randomization (type of counterbalancing)

A

presents the condition in random order within a block and this procedure is repeated a number of times

19
Q

participant bias

A

can occur when participants have expectations and beliefs about their roles in the study

20
Q

Hawthorn effect

A

unrealistic results b/c participants are behaving knowing their being studied

21
Q

Good subject effect

A

persist through tasks when normally they would stop but they want to be a good subject

22
Q

Evaluation apprehension

A

participants respond differently b/c they wish to be evaluated positively

23
Q

Experimenter bias

A

the researcher does something that leads the participant to behave in certain ways

24
Q

Ways to control experimenter bias

A

eliminate all interaction with the researcher, script/protocols, or use blinding

25
Q

carry-over effects

A

specific sequence of conditions might change the outcome that’s why use counterbalancing

26
Q

effect size

A

used to inform readers about the size of a statistically significant difference, cohens D, 95% confidence intervals

27
Q

repeated measures design

A

a research design in which subjects are measured two or more times on the DV