DATA COLLECTION & SAMPLING

Question 1

2 process of collecting information

Answer 1

1. Census

2. Sampling

Question 2

It is the complete enumeration or the process of collecting information from the whole population.

Answer 2

Census

Question 3

It is the process of getting a sample from a population.

Answer 3

Sampling

Question 4

It is a list of used to define researcher’s population of interest.

Answer 4

Sampling frame

Question 5

Why do sampling?

Answer 5

1. Low cost of sampling
2. Less time consuming in sampling
3. Scope of sampling is high
4. Accuracy of data is high

Question 6

The error attributed to the variation present among the computed values of the statistic from the different possible samples consisting of n elemnts.

Answer 6

Sampling error

Question 7

The error from other sources apart from the sampling fluctuations.

Answer 7

Nonsampling error

Question 8

2 nonsampling errors

Answer 8

1. measurement error

2. error in the implementation of the sampling design

Question 9

The difference between the true value and the observed value of the variable and the observed value used in the study.

Answer 9

Measurement error

Question 10

Occurs when we do not adhere to the procedures and requirements as specified in the sampling design.

Answer 10

Error in the implementation of the sampling design

Question 11

3 of the Error in the implementation of the sampling design

Answer 11

• selection error
• frame error
• population specification error

Question 12

Error in the design of the questionnaire.

Answer 12

Instrument Error

Question 13

This is the incorrect input of data recorded in the questionnaire into the computer.

Answer 13

Processing Error

Question 14

It is the use of the wrong variable to measure the concept under study.

Answer 14

Surrogate Information Error

Question 15

This is the response bias that happens when the respondent does not give truthful answers.

Answer 15

Response Bias Error

Question 16

Measurements Errors

Answer 16

1. Instrument Error
2. Processing Error
3. Surrogate Information Error
4. Response Error
5. Interviewer Error

Question 17

A response bias which happens when the respondent does not know the answer or simply refuses to answer certain questions.

Answer 17

Nonresponse Bias Error

Question 18

This error happens when the enumerator asks the question in a manner that influences the answer of the respondent.

Answer 18

Interviewer Error

Question 19

Method of selecting a sample wherein each element in the population has a known, nonzero chance of being included in the sample.

Answer 19

Random (Probability) Sampling

Question 20

2 Sampling Techniques

Answer 20

Random sampling

Non-random sampling

Question 21

5 Random Sampling

Answer 21

1. Simple random sampling
2. Systematic random sampling
3. Stratified random sampling
4. Cluster sampling
5. Multistage sampling

Question 22

2 Non-random Sampling

Answer 22

1. Quota Sampling
2. Snowball Sampling
3. Convenience Sampling
4. Judgmental Sampling

Question 23

A random sampling wherein all units of the frame are given an equal chance of being selected.
Ex: random number generators, lottery, draw lots

Answer 23

Simple random sampling

Question 24

Ordering of all units in the sampling frame then picking the number from 1 to m. With the number labelled as k. Then every kth number in the list is selected.

Answer 24

Systematic random sampling

m=N/n

Question 25

The population is divided into 2 or more homogenous group. Then the samples are randomly selected from each stratum.

Answer 25

Stratified random sampling

Question 26

Population is divided into natural groups. Randomly pick some clusters and completely enumerate all samples from chosen clusters.

Answer 26

Cluster sampling

Question 27

True or False. In stratified random sampling, only simple random sampling can be used to select samples from each stratum.

Answer 27

False. Both simple and systematic random sampling can be used.

Question 28

True or False. In stratified random sampling, only simple random sampling can be used to select samples from each stratum.

Answer 28

False. Both simple and systematic random sampling can be used.

Question 29

natural groups

Answer 29

clusters

Question 30

This sampling technique is carried out in stages using smaller and smaller sampling units at each stage. With simple random samplings utilized first and systematic sampling used last.

Answer 30

Multistage sampling

Question 31

Choosing respondents at the convenience of the researcher.

Answer 31

Convenience Sampling

Question 32

True or False. Convenience sampling restricts generalization.

Answer 32

True

Question 33

Wherein the researchers employ his/her own expert judgment.

Answer 33

Judgmental Sampling

Question 34

True or False. Judgmental sampling has the risk of bias selection.

Answer 34

True

Question 35

Strata exists but nonrandom selection of an individual within the group.

Answer 35

Quota Sampling

Question 36

It is when researchers has a key person and introduce the next one to become a chain.

Answer 36

Snowball Sampling

Question 37

True or False. Snowball sampling is useful in specific circumstances and for locating rare populations.

Answer 37

True

Question 38

symbol for population and sample

Answer 38

population=N

sample=n

Question 39

Infinite population formula for sample size

Answer 39

n0= [Z^2a/2 * pq] divided by d2

Question 40

Finite population formula for sample size

Answer 40

n= n0 divided by {1+ [(n0-1) divided by N]}

Question 41

level of significance symbol

Answer 41

alpha (a)

a=0.05, z a/2=1.96
a=0.01, z a/2=2.575

Question 42

This is what you expect the results to be.

Answer 42

Sample proportion (p)

q=1-p

Question 43

The difference between the population parameter and the sample statistic.

Answer 43

Margin of Error (d)

Question 44

Proportion formula

Answer 44

Pi= Ni/N

Question 45

Sample needed formula

Answer 45

ni = n x Pi

Question 46

True or False. When answer for sample is in decimal point always round up.

Answer 46

True