Chapter 1 Flashcards

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1
Q

Goals of behavioral science

A

Describe
Predict
Explain
Control

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2
Q

Step 1

A

Identify a problem

- find new ideas
- area of interest 
- research hypothesis
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3
Q

Step 2

A

Develop research plan

  • define variables being tested
  • identify participants and how to sample
  • select research strategy and design
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4
Q

Step 3

A

Conduct study

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5
Q

Step 4

A

Analyze and evaluate data

  • statistics
  • is hypothesis supported/ non supported
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6
Q

Step5

A

Communicate results

  • published paper
  • oral presentation
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7
Q

Step 6

A

Generate new ideas

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8
Q

Basic research

A

Exploring and expanding knowledge

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9
Q

Applied research

A

Finding potential solutions for an issue

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10
Q

The 3 C’s for conducting a literature review

A
  • comprehensive
  • critical
  • clever
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11
Q

Comprehensive

A
  • multiple databases

- know format for journal articles

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12
Q

Critical

A
  • ask questions and remain objective

- know sources

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13
Q

Clever

A

-unique ways to advance research

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14
Q

Format for journal article

A
  • abstract
  • introduction
  • method
  • results
  • discussion
  • references
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15
Q

Belmont report 3 principles

A
  • respect for persons
  • beneficence
  • justice
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16
Q

Respect for persons

A

-autonomous agents : participants capable of making informed decisions

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17
Q

Beneficence

A
  • protect from harm and ensure well-being of participants

- maximize benefits and minimize potential

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18
Q

Justice

A
  • fairly administered, non-exploitative research

- participants involved are representative of those who would benefit

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19
Q

Construct (conceptual) variable

A

Known to exist, but cannot directly be measured

20
Q

Operational definition

A

Ways in which a construct can be measured

  • forms of measurement
21
Q

Quantitative variable

A

Varies by amount

-measured as a numeric number

22
Q

Qualitative variable

A

Varies by class

-category or label

23
Q

Continuous variable

A

Can take on a full range of values

-infinite number of potential values

24
Q

Discrete variable

A

Can only be whole numbers

-no values can exist between

25
Q

Reliability

A

How consistent, stable, or repeatable an observation/ measurement is

26
Q

Test-retest reliability

A

Same individual; two different times (same test is given)

-same person retaking same test

27
Q

Interrater reliability

A

2 or more raters agree on same observation

28
Q

Internal consistency

A

Cronbach’s alpha

-how closely related a set of items are as a group

29
Q

Validity

A

The extent to which a measurement for variable/ construct measures what is supposed to measure

30
Q

Face validity

A

Content appears to accurately reflect construct

31
Q

Construct validity

A

Is operational definition actually measuring the construct

32
Q

Content validity

A

Adequately includes all parts of defined construct

33
Q

Criterion-related validity

A

Looks at relationships between measure and expected outcomes

  • predictive
  • concurrent (distinguish)
  • convergent (correlate)
  • discriminant
34
Q

Participant

A

Human volunteer

35
Q

Subject

A

Non human subjected to research

36
Q

Target population

A

All members of group of interest

37
Q

Accessible population

A

Portion of target population that can be sampled from

38
Q

Convenience sampling

A

Subjects or participants are selected based on how easy it is to access them

39
Q

Quota sampling

A

Sampling subgroups of participants to resemble target population

40
Q

Probability sampling

A

Sample is selected from target population

41
Q

Non probability sampling

A

Sample is selected from accessible population

42
Q

Simple random sampling

A

All subjects/ participants have equal chance of being selected

43
Q

Simple stratified random sampling

A

Equal number from each subgroup is selected

44
Q

Proportionate stratified random sampling

A

Participants of individuals selected from each subgroup to represent population

45
Q

Systematic sampling

A

First person randomly selected then every nth person thereafter until all have been selected

46
Q

Cluster sampling

A

Clusters randomly selected; all individuals in each cluster used

47
Q

Multistage sampling

A

Random sample of clusters followed by random sample of individuals within clusters