MATH 225N WEEK 1 ASSIGNMENT COMPARING SAMPLING
METHODS QUESTIONS AND ANSWERS
What is a research problem? - ANSWER: an area of concern in which there is a gap in
the knowledge base needed for nursing practice
The research question determines the ________________ - ANSWER: research
method
what are the different types of research methods - ANSWER: 1) quantitative
2) qualitative
3) mixed methods
quantitative research - ANSWER: research that measures variables and reports
results primarily in numerical form
tests theories or broad explanations; applies results to a large number of people
qualitative research - ANSWER: research that relies on what is seen in field or
naturalistic settings more than on statistical data
generates theories based on participant perspectives
population - ANSWER: a group of persons that share common characteristics as
defined by the investigator. defined via inclusion and exclusion criteria
inclusion criteria - ANSWER: characteristics that each element must possess to be
included in the sample
exclusion criteria - ANSWER: characteristics of elements that will not be included in
the sample
target population - ANSWER: the group of individuals from which the investigator is
able to select a sample
sample - ANSWER: A relatively small proportion of people who are chosen in a
survey so as to be representative of the whole
sampling frame - ANSWER: a list of individuals or elements from whom the sample is
drawn
e.g. the target population: students in OCTH 245
sampling frame: Heather, Anthony, Brandon, Jackie, Karisa, Patrick, Melissa
, what are the 2 types of sampling? - ANSWER: probability and nonprobability
probability sampling - ANSWER: A type of sampling in which every element in the
population being studied has a known chance of being selected for study
examples of probability sampling - ANSWER: 1) Simple Random Sampling
2) Systematic Sampling
3) Stratified Random Sampling
4) Cluster Sampling
simple random sampling - ANSWER: every member of the population has an equal
probability of being selected for the sample
e.g. "drawing from a hat"
systematic sampling - ANSWER: A procedure in which the selected sampling units are
spaced regularly throughout the population; that is, every n'th unit is selected
e.g. every 3rd get intervention
stratified sampling - ANSWER: the population is divided into groups with a common
attribute and a random sample is chosen within each group
e.g. age, diagnosis, geographic location
proportional stratified sampling - ANSWER: stratified sampling where the sample
proportions are made to be the same as the population proportions on the
stratification variable
cluster sampling - ANSWER: a sample chosen in one or two stages because the
population is not easily identified or is large
e.g. hospitals, clinics, schools
multi-stage sampling - ANSWER: a sampling plan that combines two or more
sampling procedures
nonprobability sampling - ANSWER: a nonrandom sampling technique
selection of participants because they are available, convenient, etc
examples of non probability sampling - ANSWER: 1) Convenience Sampling
2) purposive sampling
3) Quota Sampling
4) Snowball Sampling
convenience sampling - ANSWER: choosing individuals who are easiest to reach
METHODS QUESTIONS AND ANSWERS
What is a research problem? - ANSWER: an area of concern in which there is a gap in
the knowledge base needed for nursing practice
The research question determines the ________________ - ANSWER: research
method
what are the different types of research methods - ANSWER: 1) quantitative
2) qualitative
3) mixed methods
quantitative research - ANSWER: research that measures variables and reports
results primarily in numerical form
tests theories or broad explanations; applies results to a large number of people
qualitative research - ANSWER: research that relies on what is seen in field or
naturalistic settings more than on statistical data
generates theories based on participant perspectives
population - ANSWER: a group of persons that share common characteristics as
defined by the investigator. defined via inclusion and exclusion criteria
inclusion criteria - ANSWER: characteristics that each element must possess to be
included in the sample
exclusion criteria - ANSWER: characteristics of elements that will not be included in
the sample
target population - ANSWER: the group of individuals from which the investigator is
able to select a sample
sample - ANSWER: A relatively small proportion of people who are chosen in a
survey so as to be representative of the whole
sampling frame - ANSWER: a list of individuals or elements from whom the sample is
drawn
e.g. the target population: students in OCTH 245
sampling frame: Heather, Anthony, Brandon, Jackie, Karisa, Patrick, Melissa
, what are the 2 types of sampling? - ANSWER: probability and nonprobability
probability sampling - ANSWER: A type of sampling in which every element in the
population being studied has a known chance of being selected for study
examples of probability sampling - ANSWER: 1) Simple Random Sampling
2) Systematic Sampling
3) Stratified Random Sampling
4) Cluster Sampling
simple random sampling - ANSWER: every member of the population has an equal
probability of being selected for the sample
e.g. "drawing from a hat"
systematic sampling - ANSWER: A procedure in which the selected sampling units are
spaced regularly throughout the population; that is, every n'th unit is selected
e.g. every 3rd get intervention
stratified sampling - ANSWER: the population is divided into groups with a common
attribute and a random sample is chosen within each group
e.g. age, diagnosis, geographic location
proportional stratified sampling - ANSWER: stratified sampling where the sample
proportions are made to be the same as the population proportions on the
stratification variable
cluster sampling - ANSWER: a sample chosen in one or two stages because the
population is not easily identified or is large
e.g. hospitals, clinics, schools
multi-stage sampling - ANSWER: a sampling plan that combines two or more
sampling procedures
nonprobability sampling - ANSWER: a nonrandom sampling technique
selection of participants because they are available, convenient, etc
examples of non probability sampling - ANSWER: 1) Convenience Sampling
2) purposive sampling
3) Quota Sampling
4) Snowball Sampling
convenience sampling - ANSWER: choosing individuals who are easiest to reach
