Independent and Dependent Variables Flashcards

1
Q

Aspects of an experiment that vary, things that can take on different values along some dimension

A

Variables

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2
Q

Affects and influences the value of the dependent variable

A

Independent variables

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3
Q

Particular behavior we expect to change because of experimental intervention

A

Dependent variables

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4
Q

If people are anxious, then they will want to affiliate or be with others

A

Schachter hypothesis

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5
Q

It specifies the precise meaning of a variable within an experiment

A

Operational definition

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6
Q

It defines dependent variables which describe what we do to measure the variables

A

Measured operational definitions

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7
Q

We use hypothetical construct or concepts to explain unseen processes postulated to explain observable behavior. These constructs cannot be observed directly

A

Defining constructs operationally

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8
Q

It is equally important when we are working with variables that can be observed more directly

A

Defining non-construct variables

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9
Q

It is important that we know how to define scale of measurement in setting up experiments and formulating operational definitions

A

Defining scales of measurement

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10
Q

The simplest level of measurement

A

Nominal scale

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11
Q

A rank of ordering items

A

Ordinal scale

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12
Q

Measure magnitude or quantitative size using measure with equal intervals between the values

A

Interval scale

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13
Q

The highest level of measurement, which has equal intervals between all values and a true zero point

A

Ratio scale

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14
Q

Relevant to research questions, sampled appropriately, manipulability

A

Desirable qualities for an independent variable

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15
Q

Relevant to research question, reliable, sensitive

A

Desirable qualities for a dependent variable

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16
Q

Consistency, stability, or repeatability of scores

A

Reliability

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17
Q

One way to assess reliability of measurement procedures is to have different observers take measurements of the same responses

A

Interrater reliability

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18
Q

Reliability of measure can also be checked by comparing scores of people who have been measured twice using the same instrument

A

Test-retest reliability

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19
Q

This effect occurs when the first testing session influences the scores from the old session; practice effect

A

Carryover effect

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20
Q

The extent to which different parts of questionnaire or other instruments designed to assess the same variable attain consistent result

A

Inter-item reliability

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21
Q

0.86 and above index

A

Very easy item difficulty

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22
Q

0.71-0.85 index

A

Easy item difficulty

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23
Q

0.30-0.70 index

A

Moderate item difficulty

24
Q

0.15-0.29 index

A

Difficult item difficulty

25
0.14 and below index
Very difficult item difficulty
26
0.14 and below index
Very difficult item difficulty
27
Often use multiple choice to ask if they reliably measure the same variable
Internal consistency
28
Often split the test into halves at random and compute coefficient reliability and correlate items measuring on the same variable on the two halves
Split half reliability
29
The most widely used method for evaluating the inter-item reliability considers the correlation of each test item with every other item
Cronbach alpha
30
Single administration of a single form based on the consistency of subject’s responses to all items in the test
Coefficient alpha/Kuder Richardson
31
Same persons are tested with one form on the first occasion and with another equivalent form on the second
Alternate/parallel/equivalent forms reliability
32
Refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure
Validity
33
Validity of operational definitions is least likely to be a problem with variables that can be manipulated and measure directly
Face validity
34
Validity. Depends on whether we are taking a fair sample of the quality we intend to measure
Content validity
35
Validity. The predictive extent to which a scale predicts scores on some criterion measure
Predictive validity
36
Validity. Compares scores on the measuring instrument with an outside criterion
Concurrent validity
37
Validity. Deals with the transition from theory to research application
Construct validity
38
Validity. The test effectiveness in predicting behavior against a standard
Criterion related validity
39
The certainty that the changes in behavior observed
Internal validity
40
Factors that are not the main focus of the experiment and can confound the results if not controlled. Anything that varies or changes the systematic way along with independent variable
Extraneous variables
41
Takes place when the value of an extraneous variable changes systematically across different conditions of an experiment
Confounding
42
Threat. An outside event or occurrence that can produce effects on the dependent variable
History threat
43
Threat. Produced by internal changes in subjects as a function of the passage of time - growing older; hungrier. tiredness (boredom and the like)
Maturation threat
44
Threat. Produced by a previous administration of the same test or other measure (familiarity and practice effect that may improve the performance of the post test-performance improves through practice
Testing threat
45
Threat. Produced by changes in the measuring instrument itself
Instrumentation threat
46
Threat. Occur when subjects are assigned to conditions on the basis of extreme scores on a test (tendency of participants who received extreme scores in the pretest to receive less score on the post test; closer to the mean
Statistical regression threat
47
Threat. Occur when the research does not assign subject randomly to the different conditions of an experiment (choosing biased respondents)
Selection threat
48
Threat. Produced by differences in dropout rates across the conditions of the experiment (dropping out of participants from the group); eg. the experiment is painful, distressing, frightening
Subject mortality threat
49
Threat. Family of threats produced when a selection threat combines with one or more of the other threats to internal validity. (Choosing the experimental and control groups based on scores)
Selection interaction threat
50
Pretest might increase or decrease the respondent’s sensitivity or responsiveness to the experimental variable
Reactive or interaction effect of testing
51
Interaction effects to to the experimental variable; subjects selected are not susceptible to the effects of the experimental variable, the result will not be realizable to the larger group
Selection biases of sampling
52
Subjects are likely to experience cumulative effect
Replication when multiple treatments are applied
53
Exact duplication of an investigation but with a different sample selected from a population
Literal replication
54
Duplication using the same problem and methodology with some alteration
General replication
55
Would preclude to the generalization about the effect of experimental variable upon persons being exposed to it in non-experimental settings
Reactive effects of experimental arrangements
56
Likely to occur whenever multiple treatments are applied to the same respondents, the effects of prior treatments are not erasable
Multiple treatment intereferences