sampling and populations Flashcards

lecture 5

1
Q

By the end of the class students will:

A

 Distinguish between a sample and a population

 Explain why it is important to have a representative sample

 Describe quantitative probability and non-probability sampling
techniques

 Describe qualitative sampling techniques

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2
Q

Quantitative sampling

A

Random, Systematic, Convenience, Cluster, and Stratified.
represents a subset of the population
e.g mru students only hped hped is a subset

the sample must be like the population

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3
Q

define a population

A

it is a group that researchers generalize findings to

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4
Q

define a sample

A

A sample is the group taking part in the study
is a group within a population

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5
Q

types of sampling procedures, 2 categories

A

random probability
-Method that ensures population has equal probabilities of being
selected Strengthens the generalizability of the study’s findings

non-random probability
-Population does NOT have equal probabilities of being selected
* Findings might be generalizable, but unlikely
* Increases the risk of selection bias, which threatens internal validit

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6
Q

types of probability sampling

A

simple random
stratified
systematic

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7
Q

types of non-random probability

A

convenience
purposive

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8
Q

what is simple random?

A

name out of a hat
computer generated
equal opportunity for everyone to be selected
-The sample is representative of the population it is going to generalize to
-impartial and unbiased

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9
Q

what is systematic?

A

Researchers use lists or inventories of population, and names, and select people at regular intervals
e.g 100 selected but will pick one every 10 people

bias might be present

class list pick every 2nd student

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10
Q

what is stratified/

A

Population is divided into subgroups based on characteristics prior to random selection taking place

  • Subgroups are fairly represented
  • Proportionate vs. disproportionate
  • Important when there is a specific characteristic
    that needs to be in the sample

reduces bias

separating class into 1st 2nd and 3rd years

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11
Q

non probability sampling

Define what convenience is?

A

The researcher recruits participants that are familiar or convenient to them at that time and place
* Essentially asking people to volunteer
*based on who is available and willining ness
* “Take whatever they can get
A professor in biomechanics asked biomechanics people to be in a study

3 studies that we were asked to partake in

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12
Q

what is purposive sampling?

A

Identifies units (people, organizations, teams) that represent
characteristic of interest, such that, the sample is identified with
that purpose in mind
3 types
-Snowball
-expert
-quota

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13
Q

Purposive-what is Snowball ?

A

Word-of-mouth
* One person connects with their
network
* Useful for smaller or
vulnerable populations

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14
Q

Purposive-what is expert

A

identifying people
with a specific experience or
expertise in an area of interest

e.g athletes filling out a survey about fitness regime
e.g asking people with heart attacks to complete a questionnaire about their cardio health

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15
Q

Purposive-what is quota

A

researchers are given an amount such as 250 students in the health hped 125 female and 125 male

-can have errors and bias

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16
Q

what are the major defense between random vs non random assignment

A

Random
-unbiased
-accurately represents a sample
-equal opportunity
-not easy to find
OBJECTIVE
hypothesis tested

non-random
-biased
- requires traits/characteristics SUBJECTIVE
-represents subgroups
-does not represent a population
easy to find
-not equal opportunity
-hypothesis generated

17
Q

Sample size big or small?

A

Big the more the better

18
Q

why random assignment?

A

prevents bias; controls for unexpected differences

  • Different treatment groups will be equivalent.
    Changes due to intervention not characteristics of
    the group
19
Q

how is random achieved?

A

Computer generated, flipping a coin, drawing
names, assigning random numbers, etc.
* Can use stratification (X Females and X Males)

20
Q

in a study what is the process?

A

sample selection -random selection *before assighnment

random assignment of groups
e.g placebo
intervention
control

21
Q
A