CHAPTER 3: SAMPLING AND SAMPLING TECHNIQUES Flashcards

3.1 Basic Concepts 3.2 Methods of Probability Sampling 3.3 Methods of Nonprobability Sampling 3.4 Sample Size Determination

1
Q

It involves the collection of data from every element of the population.

A

Census or Complete Enumeration

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2
Q

What does the abbreviation NSO stand for?

A

National Statistics Office

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3
Q

Advantages of sampling

A
  1. More economical
  2. Requires less time to accomplish
  3. Sampling allows a wider scope for the study (smaller samples = more questions allowed)
  4. Results of studies based on a sample can even be more accurate (can hire experienced and better-qualified personnel for carrying out the data collection, producing fewer measurement errors and more accurate results)
  5. Sampling is sometimes the only feasible method.
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4
Q

The population we want to study

A

Target Population

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5
Q

The population from where we actually select the sample

A

Sampled Population

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6
Q

Member of the population whose measurement on the variable of interest is what we wish to examine

A

Elementary Unit or Element

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7
Q

Unit of the population that we select in our sample

A

Sampling Unit

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8
Q

List of map showing all the sampling units in the population

A

Sampling Frame or Frame

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9
Q

Error attributed to the variation present among the computed values of the statistic from different possible samples consisting of n elements

A

Sampling Error

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10
Q

Error from other sources apart from sampling fluctuations

A

Nonsampling Error

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11
Q

Error that occurs when we collect data from a sample and not from all the elements in the population (innate error in results based from a sample)

A

Sampling Error

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12
Q

2 Classifications of nonsampling error

A
  1. Measurement Error
    - Instrument Error
    - Response Error (Response and Nonresponse Bias)
    - Processing Error
    - Interviewer Bias
    - Surrogate Information Error
  2. Error in the Implementation of the Sampling Design
    - Selection Error
    - Frame Error
    - Population Specification Error
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13
Q

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

A

Probability Sampling

All elements in sampled population must be included in selection process

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14
Q

What is the method of selecting a sample that’s opposite of probability sampling?

A

Nonprobability Sampling

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15
Q

True or False

In probability sampling, the chance given to each one of the elements need not to be equal to each other.

A

True

What’s important is that we know the probability of inclusion in the sample for each one of the elements in the population

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16
Q

Enumerate

What are the 5 examples of probability sampling techniques?

A
  • Simple Random Sampling (either SRSWR or SRSWOR)
  • Stratified Sampling
  • Systematic Sampling
  • Multistage Sampling
17
Q

It is a probability sampling method wherein all possible subsets consisting of n elements selected from the N elements of the population have the same chances of selection

A

Simple Random Sampling

18
Q

What’s the SRS?

all the n elements must be distinct from each other

A

Simple random sampling without replacement (SRSWOR)

19
Q

What’s the SRS?

n elements can be selected more than once to be part of a sample

A

Simple random sampling with replacement (SRSWR)

20
Q

True or False

SRS makes it possible to get reliable estimates from a large sample so long as the elements are homogenous with respect to the characteristic under study

A

False

It is reliable with the small sample

It means that different values of the variable of interest taken from each element of the population are not too different from one another

21
Q

A probability sampling method where we divide the populatuon into nonoverlapping subpopulations

A

Stratified Sampling

elements are homogenous within each strata, and heterogenous throughout

Stratified Random Sampling if SRSWOR is being used to select the elements for all of the strata

22
Q

Probability sampling method wherein the selection of the first element is at random and the selection of other elements in the sample is systematic by subsequently taking every kth element from the random start, where k is the _________.

A

Systematic Sampling, sampling interval

23
Q

True or False

It is possible to not select a sample using systematic sampling even if there is no available list of all elements in the population

A

False

It is possible because there is a clear method of assigning a unique serial number to each one of the elements in the population.

24
Q

Probability sampling method wherein we divide the population into nonoverlapping groups consisting of one or more elements and the selected groups will be the sample

A

Cluster Sampling

elements are heterogenous within each cluster (mini population) but are homogenous with respect to the characteristic under study

25
Q

Probability sampling method where there is a hierarchical configuration of sampling units and we select a sample of these units in stages

A

Multistage Sampling

26
Q

True or False

Four and five-stage sampling are less common in practice because the analysis are more complicated and the reliability of the estimates are usually overly compromised

A

True

27
Q

True or False

Multistage sampling is the natural extension of one-stage cluster sampling.

A

True

28
Q

Sampling method that does not make use of any randomization mechanism in identifying the sampling units included in the sample

A

Nonprobability sampling

29
Q

Nonprobability sampling method that consists the sample of elements that are most accessible or easiest to contact

A

Haphazard or Convenience Sampling

30
Q

Nonprobability sampling method where the researcher chooses a sample that agrees with their subjective judgment of a representative sample

A

Judgment or Purposive Sampling

Selecting a sample may also be inquired through a professional

31
Q

Nonprobability sampling method of the stratified sampling

A

Quota Sampling

The researcher chooses the grouping or strata in the study but the selection of the sampling units within the stratum does not make use of a probability sampling method.