Lecture 9: Quantitative Methods, Measurements and Sampling 2 Flashcards

1
Q

what is the only way you can talk about causal relationships?

A

in the context of a true experiment

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2
Q

what does a true experiment require?

A
  • at least two groups
  • there is a randomization of participants to each of the two groups
  • a control condition (one of the two groups is a control condition)
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3
Q

what’s the difference because “cause and effect” and “correlation”

A

cause and effect: there’s a factor that causing things to happen
correlation: two things are happening at the same time

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4
Q

what is a Quasi-Experimental Research Design?

A
  • studies that are “sort of” experimental in design
  • no randomization to groups
  • low on internal validity but often higher in external validity
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5
Q

what is the ‘‘basic formula’’ for a quasi-experimental study?

A
  • people are studied in real-world settings
  • an independent variable is introduced or manipulated
  • there is a dependent variable (the effect) that is measured
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6
Q

when is a pre-experimental research design used?

A

when true experiments and quasi-experimental designs are not possible

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7
Q

what does a pre-experimental design do?

A
  • often used as a prequel or pre-cursor to randomized control trials
  • pre-experimental designs pose challenges to internal and external validity
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8
Q

feasibility and pilot studies can be conducted to?

A

improve the chances of conducting a high-quality RCT

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9
Q

what is a feasibility study?

A

used to assess whether a planned main study can be done, and the practicality of the study elements

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10
Q

what is a pilot study?

A

a type of feasibility study that is a small-scald and -scope preliminary test of whether the critical elements of the main study will be feasible

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11
Q

what is construct validity?

A

are you actually measuring what you think you’re measuring

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12
Q

what characterizes a non-experimental research design?

A
  • no randomization to groups
  • no groups to randomize to
  • no manipulation of the independent variable
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13
Q

what is a non-experimental research design used for?

A

to report correlations among variables of interest

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14
Q

how can data collected in quantitative studies be described as?

A
  • discrete
  • continuous
  • nominal
  • ordinal
  • interval
  • ratio
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15
Q

what is discrete data?

A

a count involving integers
ex. 206 people in a class

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16
Q

what is continuous data?

A

data that is continuously being taken
ex. heart beat

17
Q

what is nominal data?

A

type of discrete data, describes a category
ex. sex, blood type, eye colour

18
Q

what is ordinal data?

A

type of discrete data, values that provide a classification
ex. placement for a race or weight status category (overweight, underweight, etc.)

19
Q

what is interval data?

A

a type of continuous data, spacing between numbers, the amount of change between numbers is the same no matter what the numbers are
ex. temperature (5-10 degrees is the same at 80-85 degrees difference)

20
Q

what is ratio data?

A

a type of continuous data, classification using an ordered continuum with equal intervals and a true zero
ex. height, weight

21
Q

what are the data collection methods?

A
  1. observation (watch)
  2. measurement (assess)
  3. questioning (ask)
22
Q

what are the observation (watch) techniques?

A
  1. direct- participant is aware of researcher’s presence
  2. indirect- film or videotape is used
  3. participant- research is part of the research situation
23
Q

what are the measurement (assessing) techniques?

A
  1. physical measures (ex. BMI)
  2. cognitive measures (paper and pencil tests)
  3. affective measures (opinions, attitudes, emotions) (ex. perception of risk COVID-19)
24
Q

what are the questioning (asking) techniques?

A
  1. structured / unstructured questionnaire (ex. 24-hour movement behaviors)
  2. checklist (ex. dietary intake)
  3. structured / unstructured interview (ex. interview guide / scripted questions and prompts)
  4. Delphi Technique = consensus view of subject experts