Populasi dan Sampel Flashcards

1
Q

What is a good sample supposed to represent?

A

As many population characteristics as possible.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Why is a sample from only the people of Bandung not valid for studying the Sundanese people?

A

It does not represent something that should be measured (the Sundanese people).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the recommended sample size range according to Roscoe (1975)?

A

30 to 500 samples.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the minimum number of subsamples required if the sample is divided into subsamples?

A

30 per subsample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

In multivariate research, how should the sample size relate to the number of variables?

A

It should be several times larger (recommended: 10 times).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What does Krejcie and Morgan (1970) provide for determining sample size?

A

A list correlating population size with sample size.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is Slovin’s Formula used for?

A

Determining an appropriate sample size.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the margin of error typically used in Slovin’s Formula for social sciences?

A

0.05.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is the approximate sample size for a population of 3000 people using Slovin’s Formula?

A

352.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the Lemeshow Formula better suited for?

A

An undefined population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does probability sampling allow regarding population selection?

A

Each unit has a chance (greater than zero) of being selected.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is a characteristic of non-probability sampling?

A

Some elements may have a chance of not being selected.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is simple random sampling?

A

Each member of the population has an equal chance of being selected.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is systematic sampling?

A

Selecting every k-th individual from a divided population frame.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is stratified sampling?

A

Dividing the population into subgroups and selecting a simple random sample from each.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What does cluster sampling involve?

A

Dividing the population into clusters and selecting a random sample of clusters.

17
Q

What is convenience sampling?

A

Selection based on convenience considerations.

18
Q

What is purposive or judgment sampling?

A

The researcher selects the sample based on their assessment of appropriateness.

19
Q

What is quota sampling?

A

A form of proportional stratified sampling, but not selected randomly.

20
Q

What is snowball sampling?

A

A method where existing study subjects recruit future subjects from among their acquaintances.

21
Q

Fill in the blank: A good sample must be valid in _______.

A

[measurement].

22
Q

True or False: Non-probability sampling allows for an estimate of sampling error.

23
Q

What type of sampling is excellent for exploratory research followed by further research?

A

Convenience sampling.

24
Q

What should a researcher do when data becomes saturated in snowball sampling?

A

Stop searching for more participants.