Module 5: Quantitative research design

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59 Terms

1
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What are the 2 types of quantitative research study designs?

  • experimental

  • non-experimental

2
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What are the 2 types of experimental designs?

  1. randomized

  2. non-randomized (quasi-experimental)

3
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Does RCT have a control group?

yes

4
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Does quasi-experimental have a control group?

it could depending on experiment

5
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What is an intervention?

when researcher does something to subject

  • introducing intervention/tx

6
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What is a control?

a group that does “nothing”

7
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What is randomization?

researcher assigns participants to a control or experimental condition on a random basis

8
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What type of quantitative design is the gold standard?

RCT

9
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Describe what a control group may look like

  • placebo

  • alternative tx

  • standard of care

10
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What is allocation concealment?

process of making randomization sequence unknown

11
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Why is allocation concealment important?

ensures randomization reminds valid until randomization

12
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What type of experiment is blinding or masking used in?

RCTs

13
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What is the purpose of blinding/masking?

prevent biases stemming from awareness

ensures randomization remains valid

14
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Whaat is single/double/triple blind?

single: blinding one group of people

double: blinding 2 groups of people

triple: blinding 3 groups of people

15
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What is the difference between causality and prediction?

causality: cause & effect

prediction: predicting outcomes

16
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What are 3 criteria for causality/making casual inferences?

  1. temporal

  2. relationship

  3. confounder

17
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Describe temporal criteria for causality

cause must precede effect

18
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Describe relationship criteria for causality

must be demonstrated association between cause & effect

19
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Describe confounder criteria for causality

relationship between cause & effect cannot be explain by third vairable AKA confounder

20
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What is biologic plausibility?

causal relatinship should be consistent w/ evidence frrom basic physiologic studies

21
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What are advantages of RCTs?

most powerful for detecting causal relationships

22
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What are disadvantages of RCTs?

often not feasible or ethical, often expensive

23
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Describe quasi-experimental study design

  • no random assignment

  • practical

  • results may be less conclusive

  • C &. E inferences are less compelling than RCT

24
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What is stronger: RCT or quasi?

RCT

25
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Does the researcher have control over treatment quasi-experimental designs?

no

  • pre-existing groups are already determined

26
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What are the 3 types of quasi-experimental designs?

  1. nonequivalent control group designs

    • experimental group results vs control group results

  2. within-subjects designs

    • one group is studied before & after intervention

  3. interrupted time series

    • historical comparison

27
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What are advantages to a quasi-experiemental design?

easier & more practical

28
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What is a disadvantage of quasi-experimental designs?

more difficult to infer causality

29
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What is sampling

selection of a portion of population (sample) to represent entire population

30
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What is eligibility criteria?

characteristics that define population

how sample is drawn

31
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What is sampling bias?

systematic overrepresentation or underrepresentation of population

32
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What is strata?

subpopulations of a population; may facilitate subgroup data analysis

  • ex. male & female

33
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What is a representative sample?

sample whose key characteristics closely approximate those of population

34
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What are 2 types of sampling designs in quantitative studies?

  1. probability sampling

  2. non-probability sampling

35
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What is probabiility sampling?

random selection of elements

  • each element has equal & independent change of being chosen

36
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What is nonprobablty sampling?

does not involve random selection

  • not representative of population

37
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What occurs first: sampling or intervention?

sampling

38
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What are the 3 types of probability sampling?

  1. simple random

  2. stratified random

  3. systematic

39
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Describe simple random sampling

researchers establish sampling frame & then chosen at random

  • ex. current MSU nursing students

40
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Describe stratified random sampling

population is divided into 2+ strata & then chosen at random

  • ex. divide population into men & women and then choose at random

41
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Describe systematic sampling

involves selection from every kth case

42
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What are the 4 types of non-probability sampling?

  1. convenience sampling

  2. quota sampling

  3. consecutive sampling

  4. purposive sampling

43
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Describe convenience sampling

selecting most conveniently available people as participants

44
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Describe quota sampling

identify population strata & determine how many people are needed from each

  • ensures diverse subgroups

  • ex. ensue male students are represented in nursing study

45
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Describe purposeful sampling

handpicking sample members

  • choosing deans for study

46
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Does probability (random) sampling or non-probability (non-random) sampling have more bias?

non-probability

47
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What type of probability sampling has an equal chance of selection?

probability (random) sampling

48
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how are sample size needs estimated prior to study beginning?

power analysis

49
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What is power?

ability of a study to detect a difference/effect when a difference/effect really exists

50
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Does power increase or decrease w/ sample size?

increases

51
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What is effect size?

expresses strength/magnitude of relationships among variables

52
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What are the 3 Belmont principles?

  • beneficence

  • respect for persons

  • justice

53
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What is research misconduct?

fabrication, falsification, or plagiarism in proposing, performing, or reviewing research or in report research results

54
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What is fabrication?

making up data & results

55
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What is falsification?

manipulating data & results inaccurately

56
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What are the 3 criteria for research misconduct?

  1. significant departure from accepted practices of the research community

  2. ocmmitted intentionally/knowingly

57
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What is authorship?

implies responsibility & accountability for published work

58
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What are the 4 criteria for authorship?

  1. substantial contribution

  2. drafting the work or revising it

  3. final approval

  4. agreement to be accountable for all aspects of work

59
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What happens if contributors don’t meet all 4 criteria for authorship?

contributors listed in acknowledgements section