Factors to Consider in Determining the Sample Size Flashcards

1
Q

The higher the degree of variation within the population, the smaller the sample size can be utilized.

A

Homogeneity of the population

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2
Q

A larger sample size will result in greater precision or accuracy of the results.

A

Degree of precision desired by the researcher

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3
Q

Probability sampling utilizes smaller sample sizes than non-probability sampling

A

Types of Sampling Procedure

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4
Q

Used when the population is more than 100 and the researcher decides to utilize scientific sampling.

A

Calmorin’s Formula

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5
Q

What sample size is generally adequate to ensure that the sampling distribution of the mean will approximate the normal curve?

A

Sample sizes as small as 30

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6
Q

When the total population is equal to or less than 100, this same number may serve as the sample size.

A

Universal Sampling

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7
Q

Acceptable sample size for descriptive research?

A

10% - 20%

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8
Q

Acceptable sample size for comparative research?

A

15/group

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9
Q

Acceptable sample size for experimental research?

A

15-30 / group

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10
Q

a technique used to select members of the target population for the purpose of identifying characteristics of the whole population.

A

Sampling

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11
Q

2 Types of Sampling Methods

A
  1. Probablity Sampling
  2. Non-Probability Sampling
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12
Q

The researcher randomly chooses members of the target population. The members have an equal chance to be selected.

A

Probability Sampling (also known as random sampling)

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13
Q

The researcher selects participants based on his or her research goals.

A

Non-probability Sampling (also known as non-random sampling)

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14
Q

Types of Probability Sampling/Random Sampling

A

a. Simple random sampling
b. Cluster sampling
c. Systematic sampling
d. Stratified random sampling

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15
Q

Every participant is chosen randomly. It can be done by designating a code for each member of the population and then picking codes randomly.

A

Simple random sampling

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16
Q

The researcher divides the whole population into sections or clusters which will represent a population. Clusters are determined based on specific demographic factors such as age, gender, geography, and the like.

A

Cluster sampling

17
Q

The researcher chooses the sample members of a population at regular intervals except for the first one chosen.

A

Systematic sampling

18
Q

The researcher divides the population into smaller groups or subgroups based on similarity.

A

Stratified random sampling

19
Q

What kind of probability/random sampling is shown below?:

If the researcher wants to sample 15 out of 150 teachers in a particular university, they can take every 10th name.

A

Systematic sampling

20
Q

What kind of probability/random sampling is shown below?:

The population has 20 English majors, 20 Math majors, and 20 Science majors. If the researcher plans to select four participants from each major, they have to divide the population first based on the member’s specialization.

A

Stratified random sampling

21
Q

Types of non-probability/non-random sampling

A

a. Convenience sampling
b. Purpose sampling
c. Snowball sampling/referral sampling
d. Quota sampling

22
Q

This relies on accessibility or proximity and availability of participants.

A

Convenience Sampling

23
Q

The researcher takes into account the purpose of the study and the capability of the target participants.

A

Purposive Sampling

24
Q

What kind of non-probability/non-random sampling is shown below?:

The researcher decides to focus on Master’s students; the only participants that will be selected are those that are currently enrolled in a masteral program.

A

Purposive sampling

25
Q

It is being applied when subjects are not easily traceable. People who already responded to the research study are asked to invite people they know to participate in the same study.

A

Snowball sampling/referral sampling

26
Q

This is conducted based on a preset standard.

A

Quota sampling

27
Q

What kind of non-probability/non-random sampling is shown below?:

If the target population has 30% teachers and 70% students, the sample population should have the same proportion.

A

Quota Sampling