experimental methods, between/within-group designs, internal validity

0.0(0)
studied byStudied by 0 people
0.0(0)
full-widthCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/49

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

50 Terms

1
New cards

method of agreement

shows a certain factor is necesarry for bringing about a certain affect (looks for factors that are present when an effect occurs)

2
New cards

method of difference

looks for factors that are present when an effect occurs, but absent when it does not

3
New cards

method of concomitant variation

quantitative change in the effect is associated with quantitative changes in a given factor

4
New cards

indepedent variable

manipulated by the experimenter

5
New cards

experimenter (type e) variable

also known as the active variable; similar to the independent variable; can be manipulated by the experimenter

6
New cards

example of type e variable

the type of music played in Ruth's study

7
New cards

dependent variable

measured by the researcher; any changes that occur are dependent on the independent variable

8
New cards

subject (type s) variable

also known as the attribute variable, cannot be manipulated by the experimenter

9
New cards

example of type s variable

age, gender, race

10
New cards

true or false: the independent variable can only ever be a type e variable

false, the independent variable can be a type e or a type s, depending on the study

11
New cards

moderating variable

affects the relationship between the independent and dependent variable

12
New cards

mediating variable

also known as the intervening variable, affects a dependent variable when there is no direct relationship to the independent

13
New cards

extraneous variable

also known as the confounding variable, affects the dependent variable, but is not considered by the experimenter

14
New cards

discrete variable

a quantitative variable that has either a finite number of possible values or a countable number of possible values

15
New cards

example of a discrete variable

grades, number of students in a class

16
New cards

continuous variable

a quantitative variable that occurs within a range and only takes certain values

17
New cards

example of continuous variable

reaction time, test score

18
New cards

method of loci

use of familiar locations as cues to recall items that have been associated with them

19
New cards

what is the 'maxi' portion of the maximincon principle?

the part of the principle that allows systematic variance to be maximized (true score)

20
New cards

what is the 'min' portion of the maximincon principle?

the part of the principle that allows random error variance to minimized

21
New cards

what is the 'con' portion of the maximincon principle?

the part of the princople that allows extraneous error variance to be controlled.

22
New cards

type 1 error

rejecting the null when it should be retained

23
New cards

type 2 error

retaining the null when it should be rejected

24
New cards

between-group designs

participants are exposed to only one level of the independent variable, but the dependent variables may be multiple (participants may be tested several times)

25
New cards

random groups design

a type of between-groups design that utilizes random selection, random assignment, block randomization

26
New cards

matched groups design

a type of between-groups design that utilizes frequency distribution control, precision control, and yoked control

27
New cards

concerns with between groups designs

demand characteristics, social desirability, and external validity

28
New cards

within-groups design

participants are exposed to all the levels of the independent variable and may be tested once at each level or several times at each level

29
New cards

reasons for using within-subjects designs

small sampling frame, matching required on several variables, answers research questions

30
New cards

problems with within-subjects designs

order effects, carryover effects

31
New cards

order effects

the order in which the effects are introduced will impact the dependent variable

32
New cards

carryover effects

knowledge gained from the first effect impacts the second impact

33
New cards

assymetrical carryover effects

whatever is learned at the first effect is either detrimental or enhancing, depending on what is learned first

34
New cards

symmetrical carryover effects

what is learned on the first level increases performance on second level

35
New cards

linear practice effects

has a ceiling effect; you become successful because you have learned how to solve the problem

36
New cards

nonlinear practice effects

insight; no learning involved - you look at a problem and automatically know the solution

37
New cards

range effects

the performance of the dependent variable is effected by the rage and most ranges have the most responses at the middle

38
New cards

how to control order effects

counterbalancing (including all levels at each ordinal position equally often)

39
New cards

when is a within-subjects design required?

when participants past experiences may influence results

40
New cards

block randomization

a process of randomization that first creates treatment blocks containing one random order of the conditions in the experiment; subjects are then assigned to fill each successive treatment block

41
New cards

limitations to within-subjects designs

differential transfer, cannot study subject-variance effect

42
New cards

threats to internal validity

history, maturation, testing, instrumentation, selection, statistical regression, experimental mortality or attrition

43
New cards

history

past experiences that pose a threat to internal validity (can affect all designs)

44
New cards

maturation

changes over time that pose a threat to internal validity (can affect the study if participants are tested over time)

45
New cards

testing

a threat to internal validity when the knowledge of the test in a test-retest experiment impacts the dependent variable (effects extreme scores evaluated at only two points)

46
New cards

instrumentation

a threat to internal validity when there are inconsistencies in data collection - measuring tool is changed in the middle of the study (can affect all designs)

47
New cards

selection

a threat to internal validity that occurs when there is a non-representative sample (occurs when random selection and assignment are not used - affects all quasi-experimental designs)

48
New cards

statistical regression

occurs when scores begin to regress in the direction of the mean (can affect studies that focus on extreme scores that are evaluated at only two points in time)

49
New cards

experimental mortality/attrition

a threat to validity that occurs when participants drop out or lose interest in a study (can affect all designs)

50
New cards

selection interaction

a threat to internal validity that occurs when any threats impact just one group of the study (effects designs with a non-equivalent control group)