Quantitative research (planning and collecting) Flashcards

1
Q

What are the steps of quantitative research?

A
  1. formulate the objectives
  2. prepare the research instrument (survey)
  3. create a sample structure
  4. collect the data
  5. analyze the results (SPSS)
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2
Q

What are the steps to developing a questionnaire?

A
  1. develop the question topics
  2. select question and response format
  3. select wording
  4. determine sequence
  5. design layout and appearance
  6. pilot test
  7. undertake the survey
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3
Q

What should you do to develop the question topics?

A

-> clarify what should be asked
-> identify the best way of tackling each topic
-> determine the most relevant wording
-> determine the statements to be used in rating scales

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4
Q

What should be the outline of your questionnaire?

A
  1. introduction
  2. A: screening/selection questions
  3. B-E: generic specific questions
  4. F: demographic
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5
Q

What are dichotomous and multichotomous responses&

A

dichotomous: 2 responses
multichotomous: multiple responses

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6
Q

What are the 4 types of measurement scales?

A

nominal - assigns labels
ordinal - places in order
interval - in order and how far apart
ratio- a real number

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7
Q

What is the measurement scale of these questions?
1. gender
a. male
b. female
2. rank theses brands in order of preference:
a. banana republic
b. gap
c. H&M
3. Do you agre with this statement (1 being not at all, 5 being totally agree)
a.1
b.2
c. 3
d.4
e. 5
4. Select your favorite brand
a. gap
b. banana republic
c. zara
5. rank these attributes in importance (1being most, 3 being least)
a. quality
b. price
c. brand

A
  1. nominal
  2. ordinal
  3. interval
  4. nominal
  5. ordinal
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8
Q

What are the steps to selecting your sample

A
  1. define the target population
  2. identify the sampling frame
  3. select a sampling procedure
  4. select the sample characteristics
  5. determine the sample size
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9
Q

What is the sampling frame?

A

the list of elements from which the sample is drawn
ex: from a list of postal codes, from university directory, etc

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10
Q

What are the 2 types of sampling procedure?

A

probability and non-probability

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11
Q

What are the types of probability sampling?

A

simple random
stratified
cluster

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12
Q

what is simple random sampling?

A

every element has an equal probability to be selected.
ex: with random number generator

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13
Q

What is a stratified sampling?

A

division of the population into smaller subsets according to certain attributes (gender, income,etc)

simple random sample chosen from each subset

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14
Q

What is a cluster sampling?

A

create clusters that each represent the population (one of each)

select a whole cluster

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15
Q

What are the types of non-probability sampling?

A

convenience
judgment
snowballing
quota

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16
Q

what is a convenience sampling?

A

easy to access, no way of knowing if they represent the population

17
Q

what is a judgment sampling

A

handpicked since they serve the purpose (ex: choose parents because survey on kids)

18
Q

what is a snowballing sampling?

A

start and recruit via referral

19
Q

what is quota sampling?

A

select sample to represent population via categories of quota

20
Q

What are the three sample size determination methods?

A
  1. comparability
  2. budget availability
  3. statistical method
21
Q

what information do you need in order to calcule the sample size?

A
  1. size of the population
  2. confidence level
  3. margin of error
  4. expected variance (proportion)
22
Q

What are the two types of errors in sample ?

A

sampling
non-sampling

23
Q

what is a sampling error

A

difference between statistics and true expected value over many repetitions of the sample

reduce by increasing the sample size

24
Q

what is a non-sampling error

A

errors in conception, logic, interpretation, statistics, etc

cannot be fixed by a bigger sampling size

25
Q

what are the two types of non-sampling errors?

A
  1. non-observation
    a. non-coverage (sampling
    frame errors
    b. nonresponse
  2. observation
    a. collecting the data (field)
    b. processing the data (most
    prevalent)