INTRODUCTION TO SAMPLING THEORY

Question 1

refers to the totality of observations or elements from a set of data.

Answer 1

POPULATION

Question 2

refers to one or more elements taken from the population for a specific purpose.

Answer 2

SAMPLE

Question 3

a numerical measure that describes the whole population

Answer 3

PARAMETER

Question 4

a numerical description of the sample

Answer 4

STATISTIC

Question 5

Researchers need to guarantee that the sample chosen to partake in a study is the representative of the entire population and thus, proper ______ must be carried out in order to ensure that the results of the study will not be put to waste.

Answer 5

sampling technique

Question 6

TWO CATEGORIES OF SAMPLING TECHNIQUES

Answer 6

PROBABILITY SAMPLING
NONPROBABILITY SAMPLING

Question 7

each member of the population has a known probability of being selected in the sample.

Answer 7

PROBABILITY SAMPLING

Question 8

there is bias in the selection and there is no recognized probability that one member will be included in the sample.

Answer 8

NONPROBABILITY SAMPLING

Question 9

In this technique, each member of the population has an equal chance to be selected as a participant.

The process is done by choosing the members of the sample one by one, using either the lottery method or the tables of random numbers

Answer 9

SIMPLE RANDOM SAMPLING

Question 10

All the members of the population are assigned with specific numbers which are then written on pieces of paper and placed in a fishbowl (or box).

The researcher then selects numbered pieces of paper from the bowl, one at a time. All members that correspond to the selected numbers will make up the sample.

Answer 10

LOTTERY METHOD

Question 11

Is a random sampling technique which considers every nth element of the population in the sample with the selected random starting point from the first q members.

Answer 11

SYSTEMATIC RANDOM SAMPLING

Question 12

given population is purposively divided into homogenous partitions (or groups) depending on certain factors that might be affecting the results of the study. These homogenous partitions are also called strata

Answer 12

STRATIFIED SAMPLING

Question 13

clusters are heterogeneous groups of population. This means that they are grouped differently according to the controlling variables of the study.

Answer 13

CLUSTER SAMPLING

Question 14

this sampling technique is also called haphazard sampling

Answer 14

CONVENIENCE SAMPLING

Question 15

This sampling is carried out on the matter of convenience or ease of implementation on the part of the researcher.
Examples: “ambush interview”, “opinion poll”

Answer 15

CONVENIENCE SAMPLING

Question 16

This sampling is done with a purpose in mind.

The goal of this sampling is to carefully choose the members of the population which are best fitted to answer the research questions.

Answer 16

PURPOSIVE SAMPLING

Question 17

Also called judgmental or selective sampling.

Answer 17

PURPOSIVE SAMPLING

Question 18

SNOWBALL SAMPLING is also called?

Answer 18

chain – referral sampling

Question 19

The researcher chooses a possible respondent for the study at hand. Then, each respondent is asked to give recommendations or referrals to other possible respondents.

Answer 19

SNOWBALL SAMPLING

Question 20

the equivalent of stratified random sampling in terms of nonprobability sampling.

The researcher starts by identifying quotas, which are predefined control categories such as age, gender, education, or religion. The population is then divided into several categories according to the control category.

Answer 20

QUOTA SAMPLING