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89 Cards in this Set
 Front
 Back
Sampling may be defined as the:

Process of selecting a subset of the population to represent the entire population


Bias in a sample for a quantitative study refers to:

Systematic over or underrepresentation of an attribute visàvis the population


Strata are incorporated into the design of which of the following sampling approaches?

Quota


Which of the following is not a nonprobability sampling method?

Cluster sampling


The sampling design that would be especially likely to yield a representative sample is:

Systematic


Which of the following types of sample is considered to be the weakest for quantitative studies?
A) Convenience B) Quota C) Purposive D) Systematic 
Convenience


The type of nonprobability design that is most likely to yield a representative sample is:

Quota sampling


The procedure of weighting is associated with which type of sampling design?

Disproportionate sampling


A researcher used a probabilitytype systematic sampling plan. The sample size was 200. The sampling interval was 250. The first element drawn was 196. The second element would be:

446


Which of the following terms does not belong with the others?
A) Purposeful sample C) Judgmental sample B) Purposive sample D) Volunteer sample 
Volunteer sample


Theoretical sampling is used by:

Grounded theory researchers


A sampling strategy that is diametrically opposed to maximum variation sampling is:

Homogeneous sampling


As qualitative researchers near the end of data collection, they may employ the technique of sampling:

Disconfirming cases


Samples of 10 or fewer subjects would be most likely to be found in a(n):

Phenomenological study


Sampling bias would be of greater concern in studying body temperatures in healthy adults than in studying their attitudes toward abortion.

False


The major criterion in assessing the adequacy of a sample in a quantitative study is the degree to which it represents the characteristics of interest in the population.

True


Random selection is a key concept in all types of probability sampling designs.

True


If a probability sampling design has been used, the researcher can safely generalize to the target population.

False


Systematic sampling involves the successive random sampling of units from largest to smallest.

False


In a quantitative study, larger samples are more likely to represent the population on the attribute of interest than smaller samples.

True


Snowball sampling is to convenience sampling what cluster sampling is to simple random sampling.

False


Each element in the population has an equal chance of being selected in a quota sampling plan.

False


Systematic sampling may be either probability or nonprobability.

True


The researcher handpicks people to be included in a study in cluster sampling.

False


If a researcher posted a recruitment notice for a study on a website, people who responded would comprise a convenience sample.

True


Differences between population values and sample values are referred to as weighting errors.

False


In quantitative studies, power analysis is used to estimate the sample size needed to adequately test research hypotheses.

True


Populations that are fairly homogeneous with respect to the dependent variable require a smaller sample size for a quantitative inquiry than heterogeneous populations.

True


A major criterion for assessing the adequacy of a sample in a qualitative study is the degree to which a theory has been developed to adequately describe the population.

False


In a qualitative study, sample size decisions are often guided by the principle of data saturation.

True


The sampling strategy that involves the selection of extreme cases is referred to as maximum variation sampling.

False


Qualitative researchers often strive to purposefully select sample members based on emerging information needs.

True


In homogeneous sampling, the researcher deliberately seeks to increase variation in the characteristics of the sample members.

False


Qualitative samples tend to be small primarily because indepth interviews are so timeconsuming there is insufficient time for large samples.

False


What are the Basic Sampling Concepts?

Population
Sampling Eligibility criteria Strata Target population Accessible population 

The aggregate of cases in which a researcher is interested in is?

Population


Are populations restricted to humans?

No


Selection of a portion of the population (a sample) to represent the entire population ?

Sampling


What are elements?

Entities that make up samples and populations?


Selection of a portion of the population (a sample) to represent the entire population is?

Sampling


What is a subset of a population?

sample


The characteristics that define the population is?

Eligibility criteria/Inclusion criteria


What is Exclusion criteria?

The population may be defined to exclude people who do not speak english.


Subpopulations of a population is?

Strata


The entire population of interest is?

Target population


The portion of the target population that is accessible to the researcher, from which a sample is drawn is?

Accessible population


What are the Sampling Concepts in Quantitative Research?

Representative sample
Sampling bias Sampling error 

A sample whose key characteristics closely approximate those of the population?

Representative sample


What is the main sampling goal in quantitative research?

Representative sample


Representative sample is more easily achieved with:

Probability sampling
Homogeneous populations Larger samples 

What is probability sampling?

it involves randome selection of elements from population.


What is Homogeneous population?

population that exhibits no varibility at all. the elements of the population are identical.


What is Sampling bias?

The systematic over or underrepresentation of segments of the population on key variables


What is Sampling error?

Differences between sample values and population values


What are the 2 braod types of sampling plans?

Probability sampling
Nonprobability sampling 

What is Probability sampling?

Involves random selection of elements: each element has an equal, independent chance of being selected


What is Nonprobability sampling?

Does not involve selection of elements at random


What are the Types of Nonprobability Sampling—Quantitative Research?

Convenience (accidental) sampling
Snowball (network) sampling Quota sampling Purposive sampling 

What is Convenience Sampling?

~Use of the most conveniently available people
~Most widely used approach by quantitative researchers ~Most vulnerable to sampling biases 

What is Snowball Sampling?

Referrals for others who meet eligibility criteria from other people already in a sample. Used to identify people with distinctive characteristics.
Used by both quantitative and qualitative researchers. 

What is Quota Sampling?

~Similer to Convenience sampling within specified strata of the population.
~Enhances representativeness of sample and does not require sophisticated skills or alot of efforts. ~Infrequently used 

What is Purposive (Judgmental) Sampling?

~Sample members are handpicked by researcher to achieve certain goals
~Used more often by qualitative than quantitative researchers ~Can be used in quantitative studies to select experts or achieve other goals 

What are the types of Probability Sampling?

Simple random sampling
Stratified random sampling Cluster (multistage) sampling Systematic sampling 

What is Simple Random Sampling?

Involves random selection of elements from the sampling frame
~Not to be confused with random assignment to groups in experiments Cumbersome, not used in large, national surveys. ~Uses a sampling frame 

What is a sampling frame?

a list of all population elements


What is Stratified Random Sampling?

~Population divided into strata, then random selection from the stratified sampling frames
~Enhances representativeness ~Can sample proportionately or disproportionately from the strata 

What is the most common procedure for drawing a stratified random sample?

to group those elements that belong to a stratum and to randomly select the desired number of elements.


What is Cluster (Multistage) Sampling?

~Successive random sampling of units from larger to smaller (e.g., states, then zip codes, then households)
~Widely used in national surveys ~Larger sampling error than simple random sampling, but more efficient 

What is the most common procedure for national surveys?

cluster sampling


The number of study participants in the final sample is?

The Sample Size


What is is a key determinant of sample quality in quantitative research?

Sample size


Sample size needs can be estimated through?

power analysis


Cluster sampling is often referred to as ________.

multistage sampling


What is sampling error/

the difference between population calues and samle values


What are the Methods of Sampling in Qualitative Research?

Convenience (volunteer) sampling
Snowball sampling Purposive sampling Theoretical sampling 

What are the Types of Purposive Sampling in Qualitative Research (Examples?

Maximum variation sampling
Homogeneous sampling Extreme/deviant case sampling Typical case sampling Criterion sampling Sampling confirming/disconfirming cases 

What is Theoretical Sampling?

Preferred sampling method in grounded theory research
Involves selecting sample members who best facilitate the development of the emerging theory 

What is Homogeneous sampling?

Associated with Purposive sampling. involves a deliberate reduction of variaiton to permit a more focused inquiry.


What is Maximum variation sampling?

Associated with Purposive sampling. involves purposefully selecting cases with a range of variation on dimensions of interest.


What is Extreme/deviant case sampling?

Associated with purposive sampling. provides opportunities for learning from the most unusual and extreme informants


What is Typical case sampling?

Associated with purposive sampling.Involves selecting participants who will illustrate or highlight what is typical or average.


What is Criterion sampling?

Associated with purposive sampling. involves studying cases that meet a predetermined criterion of importance.


What is Sampling confirming cases?

Associated with purposive sampling. Additional cases that fit researchers conceptualizations and offer enhanced credibility.


What is Sampling Disconfirming cases?

Associated with purposive sampling. New cases that do not fit and serve top challange researchers interpretations.


Sample Size in Qualitative Research is based on?

Sample size determined by informational needs


A guiding principle in sampling with Qualitative studies is?

data saturation which means sampling to the point at which no new information is obtained and rebundacy is achieved.


What are the Three Main Qualitative Traditions in sampling?

Ethnography
Grounded theory Phenomenology 

What is Ethnography?

~Mingling with many members of the culture—a “big net” approach
~Informal conversations with 25 to 50 informants ~Multiple interviews with smaller number of key informants 

What is Phenomenology?

~Relies on very small samples (often 10 or fewer)
~Participants must have experienced phenomenon of interest 