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A
|
|
| AAPOR
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(See American Association for Public Opinion Research)
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ABC
|
(See
Audit Bureau of Circulation)
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absolute
precision
|
Absolute
precision is precision expressed in units of the variable measured
(See precision. Compare relative precision.)
|
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absolute value
|
The numerical value which ignores the algebraic (+ or -) sign. |
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absolute zero
|
A natural zero point, e.g., the point of origin, characteristic
of a ratio scale (used to measure height, weight, etc.) |
|
acceptance region
|
A term used in significance (hypothesis) testing representing
values of the test statistic for which we accept (do not reject)
the null hypothesis. |
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accuracy
|
The degree to which a sample statistic would correspond to the
population parameter it is meant to estimate if there were no
random error. Accuracy is high when bias is low. |
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acquiescence bias
|
A respondent bias reflecting the respondent's tendency to concur
with all questions about a topic or position. |
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acquiescent response set
|
A biasing condition that can be set up by a series of questions
that beg a "YES" response.
|
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ad hoc research
|
Research designed to help solve a problem of immediate interest.
(Compare tracking research) |
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additive effect
|
When the joint influence of two or more variables may be determined
by simply adding together the individual effects of each of the
variables. |
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ADI
|
Area of Dominant Influence; a geographic market definition defined
by Arbitron for the purpose of analyzing markets based on the
predominant television broadcast signals. Arbitron no longer
defines ADIs and Nielsens Designated Market Areas (DMAs
have replaced ADIs as the preferred market designations.
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advertising development research
|
Advertising development research refers to those investigations
done prior to the launch of a campaign, to help define the audience
and their interests, and to provide input to the creative process
|
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advertising effectiveness research
|
Advertising effectiveness research refers to research done to
measure consumersawareness of and comprehension of advertising.
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advertising tracking study
|
(See tracking study)
|
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affective
component
|
Acceptance
or avoidance responses. Hedonic scales measure affective responses,
i.e. degree of pleasantness. |
|
after-only design
|
A research design involving measurements only after the treatment
(e.g. ad campaign) is introduced. The design generally involves
a control group and no measure is taken on either the test or
the control group before exposure of the independent variable. |
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agree-disagree scale
|
(Seescales)
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AID
|
(SeeAutomatic Interaction Detection)
|
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aided recall
|
Aided recall refers to the mention of a brand name in a brand
or advertising recall question; e.g., "Have you ever heard of
Microsoft as a provider of word processing software?" Aided
recall questions are typically asked after unaided recall questions.
(Also calledprompted recall. See recall. Compareunaided
recall)
|
|
alpha error
|
One of two types of errors encountered in statistical hypothesis
testing. Also referred to as the type I error, it represents the
probability of rejecting the null hypothesis when it is true. |
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alternative hypothesis
|
The counterpart of the null hypothesis in statistical significance
testing. Sometimes called the business hypothesis. The alternative
hypothesis is accepted when the null hypothesis is rejected. |
|
AMA
|
(SeeAmerican Marketing Association)
|
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ambiguous question
|
An ambiguous question is one that implies multiple questions
or could be answered correctly in at least two different ways.
|
|
ANA
|
(SeeAssociation of National Advertisers)
|
|
analysis of dependence
|
Analysis of dependence refers to any of a number of multivariate
analytical methods in which one or more variables (dependent
variables) are assumed to be dependent upon other variables
(independent variables). (Compareanalysis of interdependence)
|
|
analysis of interdependence
|
Analysis of interdependence refers to any of a number of multivariate
analytical methods in which a number of variables examined but
none are presumed to be dependent on others. (Compareanalysis
of dependence)
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analysis of variance
|
Analysis of variance, frequently abbreviated ANOVA, is a statistical
test used with interval data to determine if multiple samples
come from populations with equal means. Like chi-square, ANOVA
tests for significant variation between groups or samples. However,
ANOVA requires interval data and signifies differences in sample
means.
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analytical matrix
|
An analytical matrix is a row/column format in which the columns
are categories (e.g. under 40 years old, 40 years old or older)
and the rows are possible answers (e.g. yes, no) Sometimes used
in focus group analysis where vertical columns are separate
groups and horizontal rows are responses to each question. Allows
looking across columns for consistency or differences.
|
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anonymity
|
Keeping the identity (if known) of a respondent in a study strictly
confidential. |
|
ANOVA
|
(Seeanalysis of variance)
|
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a priori segmentation
|
A segmentation research strategy in which the market is segmented
using a criterion preselected by the researcher. Other characteristics
such as demographics are then used to describe the segments. |
|
area sampling
|
Method of sampling in which a georgraphic area is divided into
mutually exclusive and exhaustive subsets and a random sampling
of areas is then selected. If all households in the selected areas
are used, this is called 'one-stage area sampling.' A 'two-stage
area sample' involves a random selection of households within
the selected areas. |
|
ARC
|
(SeeAdvertising Research Foundation)
|
|
ARF
|
Advertising Research Foundation |
|
arithmetic mean
|
An average, obtained by dividing the sum of a set of observations
by the total number of observations in the set. |
|
ASA
|
(SeeAmerican Statistical Association)
|
|
association
|
The extent to which two or more variables tend to 'go together'.
May be expressed in terms of an index of association (e.g., correlation
coefficient) or a functional relationship (e.g., regression equation).
However, association does not imply causation. |
|
attitude
|
An attitude is a generalized predisposition to respond positively
or negatively to an object or class of objects such as symbols,
slogans, persons, products, institutions, etc. |
|
attitude scale
|
A scale designed to measure a person's attitude towards an object
or a class of objects. Examples of attitude scales include the
hedonic scale (like extremely thru dislike extremely), the Semantic
Differential (rude - courteous), the Likert Scale, etc. |
|
attribute
|
A quality, character or property used to describe an idea or object
being evaluated. |
|
audimeter
|
An electronic device which is wired to the television receiver
and utilized by the A.C. Nielsen Company to record automatically
the times the TV set is turned on and off and the stations to
which it is turned. |
|
audit
|
An audit is a review of specific aspects of a market, such as
products on store shelves, to determine the number of facings
and competitive mix, or a complete advertising audit. Also a
broad-based survey, such as a market audit, intended to determine
a wide range of basic market facts about a product category.
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average
|
(See mean)
|
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awareness
|
Awareness refers to the consumers knowledge of a brand,
advertising execution.
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awareness and attitude research
|
A fundamental type of marketing research often used as a baseline
for tracking companies positions in the market. Measures
awareness of the company and competitors and attitudes toward
the company or product.
|
|
|
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B
BACK TO TOP
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|
|
|
|
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back-to-back focused group interviews
|
Back-to-back focused group interviews are interviews conducted
so that one occurs shortly after another and on the same day.
|
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banner
|
The column or heading over a data set in a computer cross-tab
table.
|
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banner point
|
In cross-tabulations, banner points are the vertical headings
which describe data breakouts. For example:college grads,income
over $50,000,design engineers. Similar to the verbal
heading at the top of a spreadsheet column.
|
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base, sample base, base over
|
The number over which percentages, averages or other findings
are calculated. For example, positives or negatives about a
specific company will often be based over those who are aware
of the company. Often a subset of the entire sample.
|
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baseline
|
An initial research project against which future changes are
benchmarked
|
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basic research
|
Basic research is research undertaken to advance the knowledge
of methodologies and techniques of research. (Compare applied
research.)
|
|
before-and-after design
|
Experimental design in which a variable (e.g. awareness) is measured
on a sample (the before stage); then after potential exposure
to a stimulus (e.g. newspaper ad), awareness is measured again
(the after stage). May have a control group in addition to the
experimental group. |
|
before-and-after with control group
|
(See before-and-after design) |
|
behavioral correlates
|
Behavior variables (e.g. brand usage, purchase intent) that are
correlated with consumer actions and, hence, used to attempt to
predict or forecast such actions. |
|
benchmark
|
A tracking wave or survey designed to measure against the previous
baseline. All repetitions of a given study after the first are
benchmarks. Also used to describe the ability to measure one
company against an industry standard or its own past measures.
|
|
benefit segmentation
|
Breaking out specific subsets of a population based on their
needs or desires rather than on measurements such as life-style
or demographics.
|
|
beta coefficient
|
The standardized regression coefficient. Can be found either by
using standardized data in regression analysis or by mulitplying
the regression coefficient for a particula predictor variable
by the ratio of the standard deviations of that predictor variable
to the criterion variable. Gives a very rough indication of the
importance of predictors. |
|
beta weights
|
(See beta coefficients)
|
|
bias
|
Bias is the research equivalent of sin. Clients and researchers
are consistently on the lookout for anything which can corrupt
or "bias" data and lead to erroneous conclusions.
|
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blind study
|
Research where the sponsor/client/brand is masked from respondents
or researchers.
|
|
bimodal distribution
|
Different from the familiar bell-shaped curve or normal distribution.
Bimodal means that there are two modes of responding instead
of having the data cluster around a central point. A bimodal
distribution might be seen in a population where people either
strongly prefer a product or strongly reject a product - half
the population might be rating the product 1-2-3 on a ten-point
scale, and the other half of the population might be rating
it 8-9-10.
|
|
binomial distribution
|
The distribution of the probability of a specified number of successes
in a given number of independent trials, in each of which the
probability of success is the same. Useful in performing certain
statistical significance tests on dichotomous data. |
|
bipolar scale
|
Scale frequently used in attitude measurement in which the end
points are opposites (e.g. sweet - sour, friendly - unfriendly,
etc.). |
|
bivariate analysis
|
The simultaneous analysis of two variables, such as income and
brand expenditure |
|
blind test
|
A blind test is a taste test in which the samples have been
coded so that the brands or types are not known by the respondent.
(See alsodouble-blind test)
|
|
block
|
Normally a rectangular piece of land, bounded by four streets.
However, a block may also be irregular in shape or bounded by
railroad tracks, streams, or other features Blocks do not cross
the boundaries of counties, census tracts or block numbering areas
(BNA's). Census data are tabulated by block in all urbanized areas
but much information is suppressed to protect the confidentiality
of census information. A block is the smallest level of census
geography. |
|
block group
|
A combination of numbered blocks that is a subdivision of a census
tract or untracted area. Block groups are defined in all areas
for which block statistics are prepared. Block groups (BG's) are
defined as that set of blocks sharing the same first digit within
a census tract or non-tracted area. For example, Block Group '3'
within a particular census tract would include any blocks numbered
between 300 and 399. Block groups may cross and be split by the
boundaries of MCD's, places, and congressional districts. When
this occurs statistical summaries are provided for each component
or part, but not for the whole BG. Block groups are represented
by a one digit numeric code. |
|
block sampling
|
A method of selecting a sample based on the fact that individuals
live in city blocks (or similar land segments) and that these
blocks can be easily tested and sampled. |
|
branching
|
(See skipping)
|
|
brand preference and awareness research
|
Studies conducted to determine the awareness of specific brands
or companies and the degree to which the purchasing population
prefers or doesnt prefer a specific product.
|
|
brand switching
|
Brand switching refers to a consumers use of more than
one brand within a product category. A consumer who uses one
brand predominantly, rarely switching, is said to be brand-loyal.
|
|
briefing
|
Typically the process of orienting data collection personnel
(interviewers) on a new project.
|
|
|
|
|
C
BACK TO TOP
|
|
|
|
|
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call record sheets
|
A paper and pencil method of tracking results of calls made
to homes or businesses. Not the actual survey but a record of
terminations, those who were not at home, attempts, language
barriers, refusals and so forth. Becoming less common as CATI
(see definition) systems automate this record keeping.
|
|
callback
|
Recontacting a respondent to clarify or verify survey information.
Done to check quality, correct errors or expand an initial finding.
|
|
canonical correlation
|
Canonical correlation is one approach to correlation analysis
|
|
categorical data
|
Responses which have no numeric relationship to one another.
For example, categorizing respondents as brown-eyed, blue-eyed
or green-eyed. Same as nominal data.
|
|
causal inference |
An attempt to determine the nature of the cause-and-effect relationship
among two or more variables through the use of experimentation. |
|
causal relationship
|
A relationship between two or more variables characterized by
the condition that changes in one or more of the variables causes
changes in another variable.
|
|
CATI
|
(Computer-Aided Telephone Interviewing.) Questionnaires are
shown on a computer screen, and the questioning is directed
to some degree by computer. Results are usually entered directly
into a computer database. Can be administered solely by computer,
or the computer can aid a human interviewer.
|
|
cell
|
Often used to refer to a subset of a survey sample or experimental
design. "Since there are only ten males in the cell, the sample
base is too small to draw a conclusion."
|
|
census
|
A survey designed to reach all units of the population in question.
(Compare sample).
|
|
census divisions
|
The Bureau of the Census divides the entire U.S. into nine divisions
defined by groups of states. These divisions are: New England,
Middle Atlantic, East North Central, West North Central, South
Atlantic, East South Central West South Central, Mountain and
Pacific. These divisions should not be confused with the four
Census Regions, since they are comprised of different state groupings, |
|
census region
|
The Bureau of the Census divides the entire U.S. into four regions.
These regions are: Northeast, North Central (now named Midwest),
South and West. Each of these regions is defined by groups of
states. These regions should not be confused with the nine Census
Divisions, since regions are made up of larger state groupings.
The nine Census Divisions can be combined to form four Census
Regions. |
|
census tract
|
Geographic area including households with uniform social and economic
characteristics. Tracts generally have between 2,500 and 8,000
residents. |
|
central limit theorem
|
The central limit theorem states that as the sample size (n)
increases, the sampling distribution of means of samples taken
from the population of practically any distribution will approach
the normal distribution with mean µ (equal to the population
mean and variance equal to F2/n, where F2
is the population variance.
|
|
central location test (CLT)
|
Using a central site for conducting interviews. May be either
a convenience sample such as traffic in a shopping mall or pre-recruited
to specific criteria and invited to an interviewing location.
|
|
central tendency
|
There are three basic indicators: mean or average, mode (most
common) and median. The median is the middle response. For example,
if there are 19 responses, the median is the tenth response
up from the lowest or the tenth down from the highest.
|
|
CFA
|
Common Factor Analysis (Seefactor analysis)
|
|
chi-square distribution
|
A skewed distribution whose shape depends on the number of degrees
of freedom. As the number of degrees of freedom increases, the
distribution becomes more symmetrical. |
|
chi-square test
|
A test of statistical significance used for analyzing frequency
distributions or contingency tables.
|
|
choice modeling
|
A related technique to conjoint, used when there is a strong
need for the results to map closely to actual market response.
Also called discrete choice analysis.
|
|
clarification
|
An interviewing process used to improve the quality and clarity
of data for open-ended questions. For example, "Tell me more
about what you meant by your response."
|
|
classification/classification questions
|
Classification questions are those that ask for respondents
demographic or other characteristics (age, income, household
size, dollars spent in a product category, etc.) so that their
responses may be grouped with the responses of other respondents
like themselves. Typically classification questions occur late
in a questionnaire.
|
|
cleaning/data cleaning
|
The process of taking survey computer printouts and checking
data for logical consistency or error. Increasingly automated
by computer. Also, dual entry of data and comparing records
to eliminate mistakes.
|
|
closed-ended
|
A question with a fixed response set. Perhaps a rating scale,
"yes" or "no" choices and so forth. As opposed to an open-ended,
free-responding question where the respondents verbatim
answers are recorded.
|
|
cluster analysis
|
Techniques designed to classify individuals into a relatively
small number of exclusive groups. A goal of cluster analysis
is to maximize likeness within groups and differences between
them to create an understandable topology of the market.
|
|
cluster sample
|
A cluster samples is one drawn in a cluster so the researcher
can collect information from that cluster. Example Sales districts
are randomly chosen and then all buyers within the chosen district
are interviewed. Cluster samples are generally cost-efficient
|
|
CMSA
|
(See Consolidated Metropolitan Statistical Area)
|
|
code
|
A code is a mathematical symbol which represents a particular
response to a particular question. For example, in a yes/no
question, the response yes may be coded 1,
the response no coded 2, and no response
coded 9.
|
|
codebook
|
A set of question responses and their associated computer code
numbers. Used to assign categories to answers given to each
question on a survey questionnaire.
|
|
coding
|
Coding is the process of assigning codes to the acceptable responses
in a survey.
|
|
coefficient of determination
|
The percent of the variability in the dependent variable explained
by the independent variable. |
|
cohort analysis
|
Analysis of the activity of a cohort over an extended time period. |
|
collinearity
|
Collinearity refers to a degree of association between two or
more of the independent variables in a regression analysis.
|
|
comparative scale
|
(See scale)
|
|
completion rate
|
The percent of qualified respondents completing an interview or
study. |
|
concept test
|
A concept test is one which presents the idea of a product or
communication to consumers to observe their reactions at the
concept (pre-production) level
|
|
concomitant variation
|
(See causality)
|
|
confidence Interval
|
The range around a survey result for which there is a high statistical
probability that it contains the true population parameter. |
|
confounded
|
An independent variable and an extraneous variable are confounded
when their effects on the dependent variable cannot be distinguished
from each other. Often a comparative study using a control group
is used to avoid confounding variables. |
|
conjoint analysis
|
A multivariate technique used to quantify the value that people
associate with different levels of product/service attributes.
Respondents trade product attributes against each other to establish
product (brand) preference and the relative importance of attributes.
Based on utility theory and consumer rationality. Better for functional
than fashionable brands. |
|
consumer
|
the term consumer is frequently used to describe people generally,
under the assumption that their importance to the researcher
is invested in their ability to and interest in consuming products
or services.
|
|
contact rate
|
The proportion of respondents who were actually contacted divided
by the number of contacts which were attempted. |
|
content validity
|
The extent to which the questions in the instrument are an adequate
representation of the field being investigated. Usually, evaluated
by expert opinion. |
|
contrived observation
|
(See observation)
|
|
control group
|
An experimental sub-group where the independent variable is not
manipulated. It is used as a benchmark for comparison with the
experimental group. |
|
co-op fee (co-operation fee)
|
A co-op fee is stipend (money or gift) given to respondents
for their participation.
|
|
cooperation rate
|
Refers to the proportion of all contacted households where respondents
agree to participate in a survey. |
|
copy testing
|
Copy testing is a form of advertising testing in which the goal
is to measure respondents recall and comprehension of
the advertising as well as the ads uniqueness and believability
|
|
correspondence analysis
|
Maps results using categorical data such as "name anyone" responses.
Generally more flexible and easier on respondents than classic
multidimensional scaling.
|
|
cost per interview (CPI)
|
The dollar cost of completing one interview in a survey research
project.
|
|
CPI
|
(Seecost per interview)
|
|
CPS
|
(See Current Population Survey)
|
|
criterion validity
|
The degree to which a measurement instrument can predict a variable
that is designated a criterion. |
|
criterion variables
|
The variables being predicted or explained in a study. Also known
as the dependent variable. |
|
cross-cultural analysis
|
(See culture) |
|
cross-tabulation
|
A typical technique used to display research data, similar to
a spreadsheet. Used as a basis for analyzing most surveys. Cross-tabs
normally sort responses by type (young, aware, heavy users)
and display the results in a data matrix.
|
|
culture
|
The total sum of learned beliefs, values and customs that serve
to regulate the consumer behaviour of members of a particular
society. |
|
Current Population Survey (CPS)
|
The survey conducted by the Census Bureau which monitors changes
between the decennial censuses. Conducted monthly to 60,000 households. |
|
|
|
|
D
BACK TO TOP
|
|
|
|
|
|
DAR (day after recall)
|
The awareness or message content recalled within 24 hours. Normally
a measure used for television or radio advertising.
|
|
data collection
|
Also called field work or interviewing. The process of actually
collecting market research data. Conjoint Analysis.
|
|
data entry
|
Entering survey data into a database so that it can be analyzed.
May be done from a CATI terminal or entered from paper records
and questionnaires.
|
|
data processing
|
Organization of data for the purpose of producing desired information;
involves recording, classifying, sorting, summarizing, calculating,
disseminating and storing data. (The February issue of Quirk's
Marketing Research Review has a section devoted to data processing
service providers.) |
|
debriefing
|
The presentation of research findings to clients. |
|
demand bias
|
Research corruption created when respondents know or suspect
that researchers have a particular agenda. One example of demand
bias is the effect of knowing who is sponsoring the research.
|
|
demographics
|
The characteristics of respondents participating in research.
Typical examples include age, income, sex and so forth.
|
|
dependent variable
|
(See variable) |
|
depth interview
|
(See in-depth interview) |
|
descriptive data analysis
|
As opposed to statistical testing. Observing findings, data
distributions and relationships between data without applying
statistical tests. Reporting and summarizing on these observed
findings. Descriptive Statistics.
|
|
design
|
The framework or plan of a research project providing a detailed
specification of the best strategy for collecting the relevant
information to solve the problem at hand. |
|
design effect
|
That part of the observed variance in the sampling distribution
of an estimate due to certain aspects of the sample design. |
|
Designated Market Area (DMA)
|
A television market, as defined by NPD/Nielsen, a firm which measures
TV audiences. |
|
diadic
|
Paired or face-to-face. An example of a diadic design would
be a paired comparison taste test where two versions of a new
french fry might be tested against each other. As opposed to
monadic where one version of the french fry would be tested
independently of any comparison.
|
|
diary
|
The record kept by a respondent of purchase behavior, likes
and dislikes and so forth, over a period of time. Typically
diaries are a product of research panels who create them.
|
|
dichotomous question
|
A question that has only two possible responses. An example
might be, "Will you vote for candidate A or candidate B?"
|
|
partial termination
|
When a respondent ceases to be involved in an interview and
quits the process.
|
|
discriminant analysis
|
An analysis technique where the dependent variable is non-metric
(ie nominal or ordinal in nature) and the independent variables
are metric (ie interval or ratio in nature). |
|
discriminant validity
|
The lack of association among constructs that are supposed to
be different. |
|
discussion guide
|
Typically five to ten pages of questions used in a focus group.
The questions proceed in chronological order. Discussion guide
design is usually worked out between the researchers and the
client prior to conducting groups.
|
|
disk-by-mail
|
A research technique where a self-prompting questionnaire is
sent to respondents on floppy disk. Respondents use the disk
to answer the survey on their computer and send the completed
disks back to the researchers. Core Strengths.
|
|
disproportionate stratified sample
|
A disproportionate stratified sample is an appropriate sampling
method when certain segments of a population are seen as more
important than others, as varying more, or as more expensive
to sample. For example, a health insurance company surveys its
corporate customers, oversampling firms with larger memberships
to reflect their true influence.
|
|
distribution
|
The pattern and frequency of responses to a given question.
Descriptive Statistics. Testing Significance.
|
|
DK
|
(See dont know) |
|
DMA
|
(See Designated Market Area) |
|
dont know
|
The response a person gives when he doesnt have any other
answer. Dont know responses should not be
confused with "no answer" responses. In the former
case, a respondent was asked a question which he could not answer;
in the latter, the respondent was not asked the question.
|
|
door-to-door interviewing
|
Door-to-door interviewing is the practice of going into neighborhoods
and to individuals homes to interview them in some sort
of systematic fashion. The Gallup Poll was originally conducted
in respondents homes. In the United States, door-to-door
interviewing has largely given way to other interviewing methodologies;
in many other countries, door-to-door interviewing is still
very common. (Also calledin-home interviewing)
|
|
double-barreled question
|
Example: "What did you like about the new product, and how would
you improve it?" Also ambiguous question.
|
|
double-blind test
|
A double-blind test is a taste test in which the brand or product
types are hidden from both the respondent and the test administrator.
(Seeblind test)
|
|
drawing a sample
|
The process of determining in a random or systematic fashion
who will be candidates to participate in research.
|
|
dual moderator focused group interview
|
A technique using two researchers to conduct group interviews.
Typically used for complex or difficult topics to provide greater
depth, breadth and quality of information.
|
|
dwelling unit
|
The term dwelling unit refers to a place where a person or persons
live; it may be rented or owned, single-family or multiple-family,
|