Chapter 4 Flashcards

(35 cards)

1
Q

What are descriptive statistics?

A

Methods of summarizing the data in an informative way.

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2
Q

What are measures of central tendency?

A

Mean, median, mode.

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3
Q

What are measures of dispersion?

A

Range, standard deviation, variance, interquartile range.

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4
Q

What are inferential statistics?

A

Methods to draw conclusions.

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5
Q

Which 5 types of inferential statistics are there?

A
Mean difference,
Chi-square,
Analysis of variance,
Regression analysis,
Logit analysis.
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6
Q

Which four statistical techniques are there?

A

Ratio,
Interval,
Ordinal,
Nominal.

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7
Q

When do you use an Chi-square test?

A

Independent: Nominal/Ordinal
Dependent: Nominal/Ordinal

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8
Q

When doe you use an T-test or ANOVA?

A

Independent: Nominal/Ordinal
Dependent: Interval/Ratio

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9
Q

When do you use an Logit analysis?

A

Independent: Interval/Ratio
Dependent: Nominal/Ordinal

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10
Q

When do you use an Regression analysis?

A

Independent: Interval/Ratio
Dependent: Interval/Ratio

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11
Q

Which four steps make up the sampling process?

A

1, define the population
2, determine the sampling frame
3, determine the sampling design,
4, determine sample size

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12
Q

What is an sampling frame?

A

Physical representation of the target population.

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13
Q

Which two coverage errors are there?

A

Under-coverage,

Miss-coverage.

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14
Q

Which solutions to coverage errors are there?

A

If small do nothing,

If large redefine population.

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15
Q

Which two types of sampling designs are there?

A

Probability sampling,

Non-probabilty sampling.

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16
Q

What is probability sampling?

A

When each element of the population has a known change of being selected as a subject.

17
Q

What is non-probability sampling?

A

When the elements of the population do not have a known change of being selected.

18
Q

Why use/don’t use probability sampling?

A

Results generalizable to population,

More time and resource intensive.

19
Q

Why use/don’t use non-probability sampling?

A

Less time and resource intensive,

Results not generalizable to population.

20
Q

Which four types of probability sampling are there?

A

1, Simple random sampling
2, Systematic sampling
3, Stratified sampling
4, Cluster sampling

21
Q

Which four types of non-probability sampling are there?

A

1, Convenience sampling
2, Quota sampling
3, Judgment sampling
4, Snowball sampling

22
Q

What is systematic sampling?

A

Pick every .. element.

23
Q

What is stratified sampling?

A

Divide population in equal groups then apply SRS.

24
Q

What is Simple random sampling?

A

Each population element has an equal chance of being choosen.

25
What is Cluster sampling?
Divide population in unequal groups and randomly select number of groups.
26
What is Convenience sampling?
Select subjects who are available.
27
What is Quoata sampling?
Fixed quota for each subgroup.
28
What is Judgment sampling?
Select subjects on their knowledge.
29
What is Snowball sampling?
Do you know anyone who?
30
What is the rule of thumb for sample size?
75 till 500 people.
31
How many parameters for multivariate research?
10 or more
32
How many people for subsamples?
Between 20 and 30.
33
Likert and Semantic differential are threated as?
Interval scales.
34
What is under-coverage?
True population members are excluded.
35
What is miss-coverage?
Non-population members are included