04. Intro to Research Flashcards

1
Q

Basic research

A

FOCUSED ON DEVELOPING THEORY; Understand, explore,develop theory; Describe & provide foundation; Process of collecting/analyzing info to develop theory

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2
Q

Applied research

A

FOCUSED ON TESTING A THEORY; Apply & test theory; Predict, compare & explain cause; Results either support or don’t support a theory; Action research

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3
Q

Nuremberg Code

A

1947; 10 standards to which physicians must conform when carrying out experiments; Require voluntary informed consent; Risk must be weighed against the expected benefit; Avoid actions that injure humans

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4
Q

National Research Act

A

1974; Belmont Report - a foundational document in the US for ethics; Respect for persons - Informed consent; Beneficence - Assessment of risks and benefits; Justice - Fair selection of subjects; Requires proposed research to be approved by an authorized group (IRB)

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5
Q

Discrete variable definition

A

Whole numbers; Possibilities within a variable are distinct within a certain range of values (e.g. children in a family)

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6
Q

Continuous variable definition

A

Any value withina given range (e.g. BP)

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7
Q

Types of qualitative research

A

Historical; Case study; Biography; Ethnography; Phenomenology

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8
Q

Reliability vs. Validity

A

Test CANNOT be VALID WITHOUT also BEING RELIABLE; A test can be RELIABLE WITHOUT BEING VALID.

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9
Q

Types of reliability

A

Stability (Test-retest); Equivalence; Equivalence & Stability

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10
Q

Stability

A

Type of reliability; Results consistent over TIME

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11
Q

Equivalence

A

Type of reliability; Results are consistent over DIFFERENT FORMS

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12
Q

Equivalence & Stability

A

Type of reliability; One version of test yields comparative results to an alternate version after a period of time

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13
Q

Types of validity

A

Content Validity; Construct Validity; Criterion-related Validity

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14
Q

Content validity

A

Measures the intended CONTENT AREA; Judge needed

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15
Q

Construct validity

A

Degree to which TEST ITEMS get at the construct the test is intended to measure

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16
Q

Criterion-related validity

A

SCORES are RELATED to a separate ALREADY VALID test; Extent to which test PREDICTS BEHAVIOR

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17
Q

Population

A

Large group of subjects

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18
Q

Sample

A

Group of subjects selected from a population

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19
Q

Parameter

A

Numerical value that describes a POPULATION

20
Q

Statistic

A

Numerical value that describes a SAMPLE; Tool to ORGANIZE DATA and DRAW CONCLUSIONS

21
Q

Descriptive statistics

A

Procedures used to summarize, organize, and simplify data

22
Q

Interferential Statistics

A

Procedures that ALLOW CONCLUSIONS about a population to be drawn from sample data

23
Q

Descriptive statistic categories

A

Central tendency; Dispersion (or Variation); Relative Position

24
Q

Sampling error

A

CHANCE inaccuracies

25
Sampling bias
Inaccuracies that are ACTUAL ERRORS d/t the SAMPLE NOT BEING REPRESENTATIVE; Controllable; Results of study become INVALID
26
Measures of central tendency
Mean, median, & mode; Describe HOW SIMILAR
27
Mean
Average
28
Median
Score in the middle when everything arranged in ascending or descending order; best for data including EXTREME SCORES
29
Mode
Most frequent score; Best central tendency score for nominal or ordinal data
30
Measures of dispersion
Range, standard deviation, & variance; How DISSIMILAR, SPREAD OUT
31
sd
Standard deviation for a SAMPLE; Square root of the variance; (almost always what we use)
32
Range
Quick & easy, but not very stable and easily affected by extreme scores
33
Measures of relative proportion
Percentile ranks, standard scores (z- & t-scores); COMPARISON of one to others
34
Distribution
Assumption that samples were taken from populations with normal distributions; normally distributed populations will have all 3 measures of central tendency that are about equal
35
Positively Skewed Distribution
Peak at the left of the graph with long tail on the right
36
Negatively Skewed Distribution
Tail at the left of the graph with peak on the right
37
Major classifications of research
Non-experimental; Experimental
38
Non-experimental
Does not exert any direct influence
39
Types of non-experimental research
Qualitative; Descriptive (Quantitative); Correlational
40
Experimental research
Researcher exerts control over one or more variables
41
Steps of scientific method
1 - Problem; 2 - Plan; 3 - Analyze; 4 - Results, Conclusion & Implications
42
When is research not worth doing?
If there is not an unsettling problem that needs attention
43
What components are in methodology?
Design; Instrumentation; Participants; Variables; Plan for analyzing data
44
Quantitative Research Design
Highly structured; STRICT RULES
45
Qualitative Research Design
Fairly FLEXIBLE; Design can EVOLVE during study