Research Methods Final Exam With
Detailed Questions And Well Verified
Correct Answers||Latest Exam
2025/2026/2027||Already Graded A+
why do a survey? -ANSWER 1. allows for quick, cheep collection of a lot of data 2.
quickly investigates many types of questions 3. may be the best way to ask some
questions
a survey is -ANSWER a snapshot of a person at a given time
advantages of a survey -ANSWER can track changes by comparison over multiple
surveys, some questions are time specific, may need to look over many times to
investigate certain questions involving stable variables
types of questions you should avoid asking in a survey -ANSWER confusing wording,
loaded questions, overly complex questions
response set -ANSWER a tendency to respond to all questions from a particular
perspective rather than to provide ANSWERs that are directly related to the questions
types of response sets -ANSWER faking good, all true, all false, all highest/lowest
reasons for response sets -ANSWER respondents didn't adequately consider
questions, didn't adequately understand questions, wanted to seem more desirable to
researcher, didn't trust researcher
how to check for response sets -ANSWER switch the direction of the questions, create
questions so that consistent agreement or disagreement is not likely
interviewer bias -ANSWER when the interviewer might unintentionally encourage
respondents to respond in certain ways or might ask questions that lead to certain
ANSWERs
two kinds of sampling techniques -ANSWER probability sampling, non-probability
sampling
probability sampling -ANSWER each member has an equal chance of participating
types of probability sampling -ANSWER simple random sampling, stratified sampling,
cluster sampling
, simple random sampling -ANSWER every person in population has an equal chance of
participating
stratified random sampling -ANSWER population divided into groups, then persons are
randomly chosen from these groups
cluster sampling -ANSWER everyone is a potential participant, divided into clusters and
clusters are randomly chosen
non-probability sampling -ANSWER little effort is expended to ensure the sample
accurately represents the population
types of non-probability sampling -ANSWER haphazard sampling, purpose sampling,
quota sampling
haphazard sampling -ANSWER no attempts to randomize sample
purposive sampling -ANSWER recruiting based on a screening criterion
quota sampling -ANSWER participants recruited as encountered, inclusion based on
predetermined percentages and is stopped once quota is met
experimental design -ANSWER clearly defined IV and DV, extraneous variables are
controlled through randomization, IV is manipulated, changes are measured in DV
independent groups design -ANSWER each participant is exposed to only one level of
IV
basic design -ANSWER IV has two levels (experimental group and control group), need
to ensure that the only difference between groups is the IV
basic design: posttest only -ANSWER two equivalent groups, expose one group to the
IV, measure how groups differ on DV
participant mortality -ANSWER people drop out of the experiment before it is done
basic design: pretest - posttest -ANSWER two equivalent groups, test both groups on
DV, expose one group to IV, test both groups on DV again
repeated measures design -ANSWER each participant is exposed to all levels of the IV
repeated measure design without control group -ANSWER participants randomly
recruited, all participants exposed to IV, all participants exposed to IV again, all
participants measured on DV
Detailed Questions And Well Verified
Correct Answers||Latest Exam
2025/2026/2027||Already Graded A+
why do a survey? -ANSWER 1. allows for quick, cheep collection of a lot of data 2.
quickly investigates many types of questions 3. may be the best way to ask some
questions
a survey is -ANSWER a snapshot of a person at a given time
advantages of a survey -ANSWER can track changes by comparison over multiple
surveys, some questions are time specific, may need to look over many times to
investigate certain questions involving stable variables
types of questions you should avoid asking in a survey -ANSWER confusing wording,
loaded questions, overly complex questions
response set -ANSWER a tendency to respond to all questions from a particular
perspective rather than to provide ANSWERs that are directly related to the questions
types of response sets -ANSWER faking good, all true, all false, all highest/lowest
reasons for response sets -ANSWER respondents didn't adequately consider
questions, didn't adequately understand questions, wanted to seem more desirable to
researcher, didn't trust researcher
how to check for response sets -ANSWER switch the direction of the questions, create
questions so that consistent agreement or disagreement is not likely
interviewer bias -ANSWER when the interviewer might unintentionally encourage
respondents to respond in certain ways or might ask questions that lead to certain
ANSWERs
two kinds of sampling techniques -ANSWER probability sampling, non-probability
sampling
probability sampling -ANSWER each member has an equal chance of participating
types of probability sampling -ANSWER simple random sampling, stratified sampling,
cluster sampling
, simple random sampling -ANSWER every person in population has an equal chance of
participating
stratified random sampling -ANSWER population divided into groups, then persons are
randomly chosen from these groups
cluster sampling -ANSWER everyone is a potential participant, divided into clusters and
clusters are randomly chosen
non-probability sampling -ANSWER little effort is expended to ensure the sample
accurately represents the population
types of non-probability sampling -ANSWER haphazard sampling, purpose sampling,
quota sampling
haphazard sampling -ANSWER no attempts to randomize sample
purposive sampling -ANSWER recruiting based on a screening criterion
quota sampling -ANSWER participants recruited as encountered, inclusion based on
predetermined percentages and is stopped once quota is met
experimental design -ANSWER clearly defined IV and DV, extraneous variables are
controlled through randomization, IV is manipulated, changes are measured in DV
independent groups design -ANSWER each participant is exposed to only one level of
IV
basic design -ANSWER IV has two levels (experimental group and control group), need
to ensure that the only difference between groups is the IV
basic design: posttest only -ANSWER two equivalent groups, expose one group to the
IV, measure how groups differ on DV
participant mortality -ANSWER people drop out of the experiment before it is done
basic design: pretest - posttest -ANSWER two equivalent groups, test both groups on
DV, expose one group to IV, test both groups on DV again
repeated measures design -ANSWER each participant is exposed to all levels of the IV
repeated measure design without control group -ANSWER participants randomly
recruited, all participants exposed to IV, all participants exposed to IV again, all
participants measured on DV
