Big and Research Questions Flashcards

1
Q

Belief Bias

A

The strength of an argument altered by how believable the conclusion is, e.g.:
All professors are mortal
All sadists are mortal
Therefore, all professors are sadists

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Confirmation Bias

A

Tendency to search for/remember information that confirms your preconceptions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Experimental Bias

A

Tendency for experimenters to believe, certify, and publish data that agree with their expectations for the outcome of an experiment, and to disbelieve, discard, or downgrade the corresponding weightings for data that appear to conflict

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Conjunction Fallacy

A

When it is assumed that specific conditions are more probable than a single general one.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Availability Heuristic

A

Tendency to overestimate the probability of events that are more available in memory (e.g., recent, unusual, emotionally charged)
◦ Accidents
◦ Lottery winning

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Gambler’s fallacy

A

The mistaken belief that, if something happens more frequently than normal during some period, it will happen less frequently in the future, or that, if something happens less frequently than normal during some period it will happen more

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Introspection Illusion

A

A cognitive bias in which people wrongly think they have direct insight into the origins of their mental states, while treating others’ introspections as unreliable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Data driven research

A

Reasoning from the data to the general theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Theory driven research

A

Reasoning from general theory to the data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Good theory criteria:

A
  • Comprehensiveness
  • Precision and testability
  • Parsimony
  • Heuristic value
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Comprehensiveness

A

Broad enough to account for as much data as possible
•If there are data relevant to a theory that it cannot account for:
• Either adapt the theory to account for the new data
• Develop a new theory that incorporates the new data

•Example: Can the auditory theory account for perceptual phenomena, such as categorical perception, phonemic restoration?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Precision and Testability

A

A good theory should have concepts that are clearly and explicitly defined:
• Contains rational, logically related statements
• Empirically testable hypotheses
•Some ESP believers argue that the presence of a disbeliever can prevent someone with ESP from being able to perform.
•We aim to disprove theories (not prove them)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Omnipotent theory

A

So powerful, general, or flexible that they can account for everything
• Not testable/falsifiable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Parismony

A

Occam’s razor: The explanation of any phenomena should make as few assumptions as possible.
àAll things being equal, the simplest explanation tends to be the best

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Heuristic Value

A

Makes (basic or applied) predictions, generates new knowledge, stimulates future research

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Empirical research

A

Gather new information through observation/measurements

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Non-empirical research

A

use existing information

18
Q

Quantitative

A

Numerical data or data to which statistics can be applied
Quantify attitudes, opinions, behaviors, etc.
Generalize results from a sample to a population
Methods include surveys, structured interviews/observations, systematic experiments

19
Q

Qualitative

A

Primarily exploratory: Aim to reveal underlying reasons,
opinions, motives, trends
Often used to generate hypotheses to be tested in
subsequent quantitative research
Methods include unstructured/semi-structured
techniques, verbal measures
Focusgroups,individualinterviews,observations,field-work
Sample size is typically small

20
Q

Validity

A

how accurately a test or measure represents the knowledge, skill, or
trait you set out to assess

21
Q

Reliability

A

the extent to which the measure yields consistent or repeatable results

22
Q

Concept of Validity vs Reliability

A

a measure can be

reliable even if it is not valid, but a measure cannot be valid if it is not reliable

23
Q

Face Validity

A

validity based on a person’s judgment of how well a test appears to
accomplish its purpose (customers)

24
Q

Content Validity

A

How valid is a test judged by experts in the field?

25
Q

Concurrent Validity

A

Compare results with an old test to see if the test measures are similar

26
Q

Predictive Validity

A

administer the new test to a group of
participants and determine how they perform on a criterion measure in the future (grad school performance, reading achievement)

27
Q

Construct validity

A

patterns or relationships among test

items, or relationships between test items and external standards of comparison

28
Q

Convergence (Validity)

A

When a person performs in a similar way on test items

29
Q

Divergence (validity)

A

A person could have very good cognitive abilities and relatively poorer motor skills, and, thus, scores from items that tap cognitive abilities could be quite different from scores on items that tap motor skills.

30
Q

Interobserver reliability

A

the procedure is one that yields
consistent results when two different examiners or observers use the procedure to test the same
persons

31
Q

Parallel-forms reliability

A

The researchers or test developers construct two different, but hopefully equivalent, forms of a measure

32
Q

split half reliability

A

Following test administration, you split the test items into two equivalent forms and then compare the participants’ scores for each form. One common way to divide a test into equivalent halves is to split it into odd-numbered and evennumbered
items.

33
Q

Operationalize

A

process of defining the variables in a study

34
Q

Null hypothesis

A

Strategy for maintaining researcher’s objectivity (REJECT, not disprove)

35
Q

Alternative

A

(directional or non directional) what the researchers expect to find.

36
Q

Evidence basked practice (EBP)

A

an approach in which clinicians use the
best available scientific evidence to guide their decisions about how to evaluate and treat persons with communication disorders

37
Q

PICO

A

Patient Intervention Comparison Outcome

often used with EBP

38
Q

Quasi-experimental research

A

Experimental research that lacks random assignment to groups is sometimes referred to as…

39
Q

Examples of nonexperimental research

A

case studies, surveys, studies of relationships or correlations between measures, as well as comparison or
case-control studies

40
Q

True experiment (2)

A

experimental manipulation and random assignment