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the process of assigning numbers or labels to phenomena or characteristics of individuals, objects, or events according to specific correspondence rules.
measurement
what are the four levels of measurement scales?
nominal
ordinal
interval
ratio
classifies or identifies categories where numbers have no inherent meaning and analysis is limited to frequency counts and percentages.
nominal scale
arranges categories in a meaningful order, but the intervals between the categories are not assumed to be equal.
ordinal scale
includes the properties of nominal and ordinal scales and assumes equal distances between numbers, allowing statistical analysis such as means and standard deviations.
interval scale
contains all the properties of nominal, ordinal, and interval scales and has an absolute zero point, meaning the numbers represent actual quantities.
ratio scale
what is the key difference between interval and ratio scales?
ratio scales have a true zero point
interval scales do not
what does it mean for response categories to be mutually exclusive and collectively exhaustive?
mutually exclusive means each response fits into only one category
collectively exhaustive means all possible responses are covered.
the degree to which a measurement is free from random error and produces consistent results over time.
reliability
a reliability coefficient that measures the internal consistency of items within a scale.
cronbach's alpha
what cronbach's alpha value generally indicates acceptable reliability?
a value of 0.70 or higher.
the ability of a measurement scale to measure what it is intended to measure and the degree to which it is free from systematic and random error.
validity
the judgment by researchers or experts that a measurement appears to measure what it is supposed to measure.
face validity
evaluates whether the items in a measurement adequately cover the entire concept or construct being studied.
content validity
measures how well a scale can predict future actions or behaviors.
predictive validity
evaluates how well a measurement represents the theoretical concept it is intended to measure.
construct validity
refers to the degree to which measures that should be related are actually correlated.
convergent validity
tests whether measures that should not be related actually have low correlations.
divergent (discriminant) validity
numerical summaries used to describe and summarize data, such as means, frequencies, percentages, and standard deviations.
descriptive statistics
why are interval and ratio scales often preferred in research?
because they provide more detailed information and allow for more advanced statistical analysis.
what is the process of choosing a group of individuals to study?
sampling
what is the group of individuals chosen for the research project called?
sample
what is the larger group from which a sample is drawn called?
population
what is a study of every member of the population called?
census
what is the first step in the sampling process?
define the population
how does a broad population definition affect incidence rates?
broad definitions result in higher incidence rates, while restricted definitions result in lower incidence rates
what is the list of people or objects from which the sample is drawn?
sample frame
a sampling method where each member of the population has a known, non-zero chance of being selected, and sampling error can be computed
probability sampling
a sampling method where the chance of selection is unknown, sampling error cannot be computed, and generalizability is limited
nonprobability sampling
what is the difference between a fixed and a sequential sample?
a fixed sample size is determined before data collection
a sequential sample is selected in stages until research objectives are met
a probability sampling method where each element has an equal chance of being selected
simple random sample
a probability sampling method where the first respondent is randomly selected, then every Nth element is chosen
systematic random sample
a probability sampling method where the population is divided into mutually exclusive and exhaustive groups, and elements are randomly selected from each group
stratified sample
a probability sampling method where the population is divided into representative clusters, and elements are randomly selected from the clusters
cluster sample
a nonprobability sampling method where participants are chosen based on convenience
convenience sample
a nonprobability sampling method where the researcher uses personal judgment to select participants
judgement sample
a nonprobability sampling method where the sample reflects specific characteristics or criteria of the target population
quota sample
a nonprobability sampling method where initial respondents refer additional participants to the study
snowball sample
how do researchers determine sample size?
by using general practice, previous studies, statistical formulas, sample size calculators, or sample size tables
what are online research panels, and what are some of their advantages and disadvantages?
online research panels are pre-recruited groups who complete research tasks
advantages include faster data collection, cost-effectiveness, efficient targeting, and use of multimedia
disadvantages include bias from professional respondents or heavy internet users, attrition, and international differences in internet access.
what is the purpose of a t-test, what are the null and alternative hypotheses, what are the two types of t-tests, and how are results interpreted using p-values?
a t-test compares the means of two groups. The null hypothesis states no difference the alternative states a difference.
Independent samples t-test compares two separate groups; paired-samples t-test compares two related groups.
what are the specific ethical concerns in marketing experiments?
no physical or mental risk
right to withdraw
knowledge of data use
confidentiality or anonymity
debriefing.
what factors are considered when selecting test markets?
population size
demographic composition
market situation
media options
distribution options
what can be tested in test markets?
new products
brand extensions
consumer promotions
pricing
advertising and communications
distribution
what are the main challenges of test markets?
cost
time
controlling extraneous variables
competitive reactions
measuring results
novelty vs. normal behavior
test length
what are the three types of test markets?
standard
controlled
simulated (virtual).
what characterizes quasi-experimental designs?
no randomization and limited control over the environment.
what characterizes true experimental designs?
random assignment and inclusion of a control group.
what characterizes pre-experimental designs?
no randomization
little control over extraneous variables
weak internal validity
what are the three criteria to establish causality?
temporal precedence
concomitant variation
non-spurious correlation.
what does experimental notation use R, X, and O to represent?
R = random assignment
X = treatment
O = observation/measurement.
what are the main threats to internal validity?
history
maturation
testing effect
instrumentation effect
selection effect
mortality (attrition).
variables other than the independent variable that may affect the dependent variable.
extraneous variables (confounds)
how well a study measures what it is supposed to measure.
validity
what is the difference between internal and external validity?
internal validity is whether the treatment alone caused the effect
external validity is whether results can be generalized
the deliberate change in the independent variable.
manipulation in an experiment
what is the difference between a treatment group and a control group?
the treatment group receives the manipulation
the control group does not
what is the difference between an independent and dependent variable?
the independent variable is the cause that is manipulated
the dependent variable is the effect that is measured
what are the basic components of experimental design?
subjects
independent variable
dependent variable
treatment group
control group
manipulation
validity
what is the main purpose of survey research in marketing?
to collect information to answer "w questions" and provide mostly quantitative data.
why are surveys considered flexible in research?
because they can collect a wide variety of information, adapt to different topics, and be conducted using multiple methods (online, mail, phone, in-person).
what is the difference between cross-sectional and longitudinal studies?
cross-sectional studies collect data at a single point in time
longitudinal studies collect data at multiple points in time to track changes over time.
a group of respondents who are surveyed repeatedly over time in a longitudinal study.
consumer panel
the error that occurs due to chance differences between the sample and the population.
random (sampling) error
name three types of sample design errors.
population specification error
sample frame error
selection error
errors caused by problems with the respondents, such as non-response bias or response bias.
respondent error
an error caused by a problem in the research design or research process.
systematic error
when respondents deliberately or unconsciously provide incorrect, false, or misleading answers.
response bias
the difference between the measured value and the true value of a concept, including process errors, interviewer errors, instrument errors, or order effects.
measurement error
why do people take surveys?
to receive rewards
voice their opinions
help companies
fill free time
learn about market research
name five types of incentives used in surveys.
donations to charity
gift cards or money
coupons
sweepstakes or lotteries
points programs
what are some advantages of telephone surveys?
low cost
faster than mail surveys
CATI systems reduce some errors
easy to use skip patterns
what are some disadvantages of telephone surveys?
limited information
short survey length
screening devices
declining landline use
and declining response rates
what are some advantages of mail surveys?
higher response rates
confidential
good for sensitive topics
no interviewer error
convenient
can include visuals
representative of the population
what are some disadvantages of mail surveys?
costly and slow
cannot clarify questions
uncertainty about who completes it
what are some advantages of personal interviews or intercept surveys?
question clarification
lower item non-response
more complete answers
longer interviews
use of visuals
higher participation
what are some disadvantages of personal interviews or intercept surveys?
wall intercepts may not be representative
lack of anonymity
poor for sensitive topics
interviewer bias
higher costs
what factors should researchers consider when selecting a survey method?
cost
time frame
precision/accuracy
questionnaire length
questionnaire structure
incidence rate
sample characteristics
which survey method generally has the highest cost?
personal interviews or intercept surveys.
which survey method is generally the slowest?
mail surveys
the range within which the true population value is expected to fall due to sampling error.
margin of error
what is the difference between confidence level and confidence interval?
confidence level is the probability that the margin of error contains the true population value
confidence interval is the range of values around the sample statistic where the true value likely falls.
observation research
the systematic process of recording the behavior or the results of behaviors of people, objects, and occurrences.
what are the three conditions for observation research?
1) action or behavior is observable
2) action or behavior is repetitive or frequent
3) action or behavior is of short duration.
what is the difference between natural and contrived dimensions of observation research?
natural: behavior occurs in a natural setting
contrived: behavior occurs in a controlled setting.
in disguised observation, do subjects know they are being observed?
no, subjects do not know they are being observed
which type of observation involves watching the results of behavior rather than the behavior itself?
indirect observation
what is the key difference between structured and unstructured observation?
structured: uses a checklist and is less subjective
unstructured: records behaviors deemed relevant and is more subjective.
what is an advantage of mechanical observation compared to human observation?
data accuracy and objectivity.
name two advantages of observation research.
1) actual behavior may be more accurate than recall
2) useful when participants are reluctant or unable to provide information.
what is a limitation of observation research?
only observable behavior can be reported; cannot discern motives, attitudes, or feelings.
list four types of human observation methods.
1) in-person observation
2) camera/one-way mirror
3) mystery shopping
4) ethnographic research
give two examples of online observation methods.
social media monitoring (text analytics) and web tracking.
what are some examples of mechanical observation method?
market basket analysis, radio and tv monitoring, eye tracking
name three things that can be observed using observation research.
1) inventories
2) non-verbal reactions
3) physical movements (others include web traffic, scanner data, television viewing).
what is cross-tabulation used for?
examining the relationship between two nominal or ordinal variables using frequency counts or percentages.
what is the purpose of the chi-square test of independence?
to determine if two nominal or ordinal variables are associated with each other.
state the null and alternative hypotheses in a chi-square test.
H₀: the two variables are independent.
Hₐ: the variables are related.
iIn chi-square analysis, if p < α, what is the conclusion?
reject the null hypothesis; the variables are related.
what is one advantage and one disadvantage of observing behavior in a natural setting?
advantage: subjects act naturally.
disadvantage: researcher must wait for behavior to occur; environment may confound results.