LESSON 3 Flashcards

1
Q

the group defined by the researcher’s specific interests.

A

Target Population

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2
Q

Individuals in a target population typically share ____ _______

A

one characteristic

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3
Q

the part of the target population that can be accessed by the researchers.

A

Accessible Population

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4
Q

[HOW DO WE MAKE SURE THAT THE STATISTICS AND INFERENCES CAN BE GENERALIZED TO THE POPULATION?]

The _______ of a sample refers to the extent to which the characteristics of the sample accurately reflect the characteristics of the population

A

representativeness

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5
Q

A _______ _______ is a sample with the same characteristics as the population.

A

representative sample

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6
Q

A ____ _____ is a sample with different characteristics from those of the population.

A

biased sample

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7
Q

[HOW DO WE MAKE SURE THAT THE STATISTICS AND INFERENCES CAN BE GENERALIZED TO THE POPULATION?]

_____ _____ or _____ _____ occurs when participants or subjects are selected in a manner that increases the probability of obtaining a biased sample.

A

Selection bias , sampling bias

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8
Q

The process of selecting
individuals for a study is
called _______.

A

sampling

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9
Q

Researchers have developed
a variety of different sampling methods (also called ____ _____or _____ ______).

A

sampling techniques , sampling procedures

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10
Q

TWO TYPES OF SAMPLING TECHNIQUE

A

probability sampling
non-probability sampling

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11
Q

the entire population is known, each individual in the population has a specifiable probability of
selection, and sampling occurs by a random process based on the
probabilities.

A

probability sampling,

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12
Q

the population is not completely
known, individual probabilities cannot be known, and the sampling method is based on factors such as commonsense or ease, with an effort to maintain representativeness and avoid bias.

A

non-probability sampling,

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13
Q

PROBABILITY SAMPLING TECHNIQUES

A
  • Simple random sampling
  • Systematic Sampling
  • Stratified Random Sampling
  • Proportionate Stratified Random Sampling
  • Cluster Sampling
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14
Q

[SIMPLE RANDOM SAMPLING]

The basic requirement for ____ ______ is that each individual in the population has an equal chance of being selected.

A

random sampling

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15
Q

[SIMPLE RANDOM SAMPLING]

_____ means that no individual is more likely to be chosen than another.

A

Equality

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16
Q

[SIMPLE RANDOM SAMPLING]

A second requirement that is sometimes added is that each selection is ______ of the others.

A

independent

17
Q

[SIMPLE RANDOM SAMPLING]

______ means that the choice of one individual does
not influence or bias the probability of choosing another
individual.

A

Independence

18
Q

The basic requirement for random sampling is that each individual in the population has an equal chance of being selected. Equality means that no individual is more likely to be chosen than another. A second requirement that is sometimes added is that each selection is independent of the others. Independence means that the choice of one individual does not influence or bias the probability of choosing another individual.

A

SIMPLE RANDOM SAMPLING

19
Q

The process of simple random sampling consists of the
following steps:

A
  1. Clearly define the population from which you want to select a
    sample.
  2. List all the members of the population.
  3. Use a random process to select individuals from the list.
20
Q

TWO PRINCIPAL METHODS OF RANDOM SAMPLING

A
  • Sampling with replacement
  • Sampling without replacement
21
Q

____ ______ is a type of probability sampling that is
very similar to simple random sampling.

A

Systematic sampling

22
Q

____ ______
begins by listing all the individuals in the population, then randomly picking a starting point on the list. The sample is then obtained by moving down the list, selecting every nth name.

A

Systematic sampling

23
Q

[STRATIFIED RANDOM SAMPLING]

We first identify the specific ______ (__ ____) to be
included in the sample.

A

subgroup (or strata)

24
Q

[STRATIFIED RANDOM SAMPLING]

Then we select ______ random
samples from each of the pre-identified subgroups, using the same steps as in simple random sampling.

A

equal-sized

25
[STRATIFIED RANDOM SAMPLING] Finally, we combine the subgroup samples into one ___ _____
overall sample
26
We first identify the specific subgroups (or strata) to be included in the sample. Then we select equal-sized random samples from each of the pre-identified subgroups, using the same steps as in simple random sampling. Finally, we combine the subgroup samples into one overall sample
STRATIFIED RANDOM SAMPLING
27
[PROPORTIONATE STRATIFIED RANDOM SAMPLING] As with a stratified sample, we begin by identifying a set of ______ or _______in the population.
subgroups, segments
28
[PROPORTIONATE STRATIFIED RANDOM SAMPLING] Next, we determine what _____ of the population corresponds to each subgroup.
proportion
29
[PROPORTIONATE STRATIFIED RANDOM SAMPLING] Finally, a sample is obtained such that the proportions in the sample exactly match the proportions in the ___ ______.
overall population
30
As with a stratified sample, we begin by identifying a set of subgroups or segments in the population. Next, we determine what proportion of the population corresponds to each subgroup. Finally, a sample is obtained such that the proportions in the sample exactly match the proportions in the overall population.
PROPORTIONATE STRATIFIED RANDOM SAMPLING
31
It is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.
Cluster sampling
32
NON-PROBABILITY SAMPLING TECHNIQUES
* Convenience Sampling * Quota Sampling * Network Sampling/Snowball Sampling
33
In _____ ______, researchers simply use as participants those individuals who are easy to get. People are selected on the basis of their availability and willingness to respond.
convenience sampling
34
It is a non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units.
Quota sampling
35
It is a non-probability sampling method where new units are recruited by other units to form part of the sample.
Snowball sampling
36
it can be a useful way to conduct research about people with specific traits who might otherwise be difficult to identify
Snowball sampling