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EDA > Sampling Theory Part 1 > Flashcards

Sampling Theory Part 1 Flashcards

1
Q

It is the creation of sample set.

A

Sampling Theory

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2
Q

It retains the accuracy in bringing out the correct statistical information.

A

Sampling Theory

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3
Q

The entire group you want to draw conclusions about.

A

Population

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4
Q

It is the specific group where you will collect data from .

A

Sample

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5
Q

What do you call the sample in a research?

A

respondents

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6
Q

It is the process of selecting a small number of elements (sample) from a larger defined target group of elements (population) such that the information gathered from the small group will allow judgements to be made about the larger groups.

A

Sampling

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7
Q

What are the basics of sampling theory?

A
  1. Population
  2. Element
  3. Defined Target Population
  4. Sampling Unit
  5. Sampling Frame
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8
Q

This is any type of bias that is attributable to mistakes in either drawing a sample or determining the sample size.

A

Sampling Error

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9
Q

Explain the ways in developing a sampling plan.

A
  1. Define the Population of Interest
  2. Identify a Sampling Frame (if possible)
  3. Select a Sampling Method
  4. Determine Sample Size
  5. Execute the Sampling Plan
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10
Q

Population of interest is entirely dependent on:

A
  1. Management Problem
  2. Research Problems
  3. Research Design
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11
Q

Bases for Defining Population

A
  1. Geographic Area
  2. Demographics
  3. Usage/Lifestyle
  4. Awareness
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12
Q

It is a list of population elements (people, companies, houses, cities, etc.) from which units to be sampled can be selected.

A

Sampling Frame

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13
Q

A good sample frame for a project on living conditions would:

A
  1. Include all individuals in the target populations
  2. Exclude all individuals not in the target population
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14
Q

Factors to be considered in sampling frame.

A
  1. Unique identifier for each member
  2. Logical organization to the list
  3. Up to date information
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15
Q
A
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16
Q

It is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability.

A

Probability Sampling

17
Q

Types of Probability Sampling

A
  1. Simple Random Sampling
  2. Systematic Random Sampling
  3. Stratified Random Sampling
  4. Cluster Sampling
18
Q

A method of probability sampling in which every unit has an equal nonzero chance of being selected.

A

Simple Random Sampling

19
Q

A method of probability sampling in which the defined target population is ordered and the sample is selected according to position using a skip interval.

A

Systematic Random Sampling

20
Q

Steps in a drawing a systematic random sampling.

A
  1. Obtain a list of units that contains an acceptable frame of the target population
  2. Determine the number of units in the list and the desired sample size.
  3. Compute the skip interval
  4. Determine a random start point
  5. Beginning at the start point, select the units by choosing each unit that corresponds to the skip interval.
21
Q

It is a method of probability sampling in which the population is divided into different subgroups and samples are selected from each.

A

Stratified Random Sampling

22
Q

Steps in Stratified Random Sampling

A
  1. Divide the target population into homogenous subgroups or strata.
  2. Draw random samples from each stratum
  3. Combine the samples from each stratum into a single sample of the target population.
23
Q

It has all members from a randomly selected segments of a population.

A

Cluster Sampling

24
Q

This is used when the population falls into naturally occuring subgroups.

A

Cluster Sampling

25
Q

It is defined as a sampling technique in which the researcherr selects samples based on the subjective judgement of the researcher rather than random selection.

A

Non-probability sampling

26
Q

Types of Nonprobability Sampling.

A
  1. Convenience Sampling
  2. Judgement Sampling
  3. Quota Sampling
  4. Snowball Sampling
27
Q

It consists only of available members of the population.

A

Convenience Sampling

28
Q

It is a sampling that relies upon belief that participants fit certain characteristics.

A

Judgement Sampling

29
Q

It is non-probability sampling method in which researchers create a sample involving individuals that represent a population. Researchers choose these individuals according to specific traits or qualities.

A

Quota Sampling

30
Q

Other term for snowball sampling

A

Chain-referral Sampling

31
Q

It is a non-probability sampling technique in which the samples have traits that are rare to find.

A

Snowball Sampling

32
Q

This is a sampling technique in which existing subjects provide referrals to recruit samples required for a research study.

A

Snowball Sampling

EDA (5 decks)

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