Module 5: Quantitative research design

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59 Terms

1

What are the 2 types of quantitative research study designs?

  • experimental

  • non-experimental

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2

What are the 2 types of experimental designs?

  1. randomized

  2. non-randomized (quasi-experimental)

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3

Does RCT have a control group?

yes

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4

Does quasi-experimental have a control group?

it could depending on experiment

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5

What is an intervention?

when researcher does something to subject

  • introducing intervention/tx

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6

What is a control?

a group that does “nothing”

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7

What is randomization?

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

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8

What type of quantitative design is the gold standard?

RCT

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9

Describe what a control group may look like

  • placebo

  • alternative tx

  • standard of care

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10

What is allocation concealment?

process of making randomization sequence unknown

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11

Why is allocation concealment important?

ensures randomization reminds valid until randomization

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12

What type of experiment is blinding or masking used in?

RCTs

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13

What is the purpose of blinding/masking?

prevent biases stemming from awareness

ensures randomization remains valid

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14

Whaat is single/double/triple blind?

single: blinding one group of people

double: blinding 2 groups of people

triple: blinding 3 groups of people

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15

What is the difference between causality and prediction?

causality: cause & effect

prediction: predicting outcomes

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16

What are 3 criteria for causality/making casual inferences?

  1. temporal

  2. relationship

  3. confounder

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17

Describe temporal criteria for causality

cause must precede effect

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18

Describe relationship criteria for causality

must be demonstrated association between cause & effect

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19

Describe confounder criteria for causality

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

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20

What is biologic plausibility?

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

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21

What are advantages of RCTs?

most powerful for detecting causal relationships

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22

What are disadvantages of RCTs?

often not feasible or ethical, often expensive

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23

Describe quasi-experimental study design

  • no random assignment

  • practical

  • results may be less conclusive

  • C &. E inferences are less compelling than RCT

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24

What is stronger: RCT or quasi?

RCT

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25

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

no

  • pre-existing groups are already determined

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26

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

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27

What are advantages to a quasi-experiemental design?

easier & more practical

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28

What is a disadvantage of quasi-experimental designs?

more difficult to infer causality

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29

What is sampling

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

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30

What is eligibility criteria?

characteristics that define population

how sample is drawn

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31

What is sampling bias?

systematic overrepresentation or underrepresentation of population

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32

What is strata?

subpopulations of a population; may facilitate subgroup data analysis

  • ex. male & female

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33

What is a representative sample?

sample whose key characteristics closely approximate those of population

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34

What are 2 types of sampling designs in quantitative studies?

  1. probability sampling

  2. non-probability sampling

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35

What is probabiility sampling?

random selection of elements

  • each element has equal & independent change of being chosen

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36

What is nonprobablty sampling?

does not involve random selection

  • not representative of population

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37

What occurs first: sampling or intervention?

sampling

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38

What are the 3 types of probability sampling?

  1. simple random

  2. stratified random

  3. systematic

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39

Describe simple random sampling

researchers establish sampling frame & then chosen at random

  • ex. current MSU nursing students

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40

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

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41

Describe systematic sampling

involves selection from every kth case

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42

What are the 4 types of non-probability sampling?

  1. convenience sampling

  2. quota sampling

  3. consecutive sampling

  4. purposive sampling

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43

Describe convenience sampling

selecting most conveniently available people as participants

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44

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

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45

Describe purposeful sampling

handpicking sample members

  • choosing deans for study

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46

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

non-probability

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47

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

probability (random) sampling

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48

how are sample size needs estimated prior to study beginning?

power analysis

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49

What is power?

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

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50

Does power increase or decrease w/ sample size?

increases

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51

What is effect size?

expresses strength/magnitude of relationships among variables

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52

What are the 3 Belmont principles?

  • beneficence

  • respect for persons

  • justice

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53

What is research misconduct?

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

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54

What is fabrication?

making up data & results

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55

What is falsification?

manipulating data & results inaccurately

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56

What are the 3 criteria for research misconduct?

  1. significant departure from accepted practices of the research community

  2. ocmmitted intentionally/knowingly

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57

What is authorship?

implies responsibility & accountability for published work

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58

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

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59

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

contributors listed in acknowledgements section

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