Glossary

Applied research

answers specific questions about specific problems or makes decisions about particular courses of action

Basic or pure research

advances the knowledge about a given concept or tests the acceptability of a given theory

Basic research

(also called pure research) advances the knowledge about a given concept or tests the acceptability of a given theory

Bell curve

(also called normal curve) a symmetrical distribution that describes the expected probability distribution of many samples or chance occurrences

Bias

anything that influences unduly the outcome of research results

Case study

an intensive investigation of specific situation that can provide insight to the problem at hand

Causal research

research that attempts to show that there is a cause and effect relationship between certain variables

Central tendency

or "average"; there are three types: mode, median and mean

Chi-square

determines whether differences between groups are statistically significant

Close-ended question

respondents is limited to a number of given alternatives in his/her response

Cluster sampling

the random selection of groups of units rather than individual units from the population

Conclusive research

research that has followed a formal research design process and provides reliable information on which to base decisions

Content validity

(also called face validity) determines whether the research instrument measures what it is supposed to measure

Convenience sampling

the selection of units from the population based on easy availability and/or accessibility

Correlation

determines the relationship between two variables, and to what degree one variable will vary as a result of the other

Criterion validity

said of a research instrument that tests whether there is consistency in the way a respondent answered

Criterion variable

(also called dependent variable) a variable that can be explained or predicted since they are the effect of the independent variable; the variable that is expected to change because of the manipulation of another (independent) variable

Delimitations

restrictions that have been placed on the study in order to make it more doable, e.g. surveying adults aged 18 and over only

Dependent or criterion variable

a variable that can be explained or predicted since they are the effect of the independent variable; the variable that is expected to change because of the manipulation of another (independent) variable

Dependent variable

(also called criterion variable) a variable that can be explained or predicted since they are the effect of the independent variable; the variable that is expected to change because of the manipulation of another (independent) variable

Descriptive research

(also called statistical ) research designed to describe the characteristics of the population or universe under study

Experimentation

research that allows for the isolation of one variable at a time while the others are being kept constant to test a hypothesis about cause and effect

Exploratory research

initial research conducted to determine the real scope of the problem and the course of action to be taken, including whether further research is required

External validity

said of research where the results apply to other similar approaches in the "real" world

Face or content validity

determines whether the research instrument measures what it is supposed to measure

Face validity

(also called content validity) determines whether the research instrument measures what it is supposed to measure

Focus group

an unstructured, free-flowing but moderated interview with a small number of selected individuals on a specific topic

Frequency

the number of times a given response occurs, expressed in absolute numbers or in percentage

Heterogeneity, heterogeneous

dissimilarity, made up of unlike elements or parts

Homogeneity, homogeneous

similarity, made up of like elements or parts

Hypothesis

(pl. hypotheses) educated guess as to the outcome of the research

Independent variable

(also called predictor variable) a variable that is thought to be independent of the outcome itself but instead influence other variables; the variable that is manipulated in experimental research

Intercept survey

respondents are approached in a high traffic area (e.g. a mall) and asked to complete a questionnaire either as part of an interview or self-administered

Internal validity

said of research where it can be shown that the observed changes in the data were the exclusive result of the experiment

Interval scale

not only orders items but also measures the exact difference between points

Interviewer error

(or bias) occurs when the interviewer's behaviour, appearance or actions in some way influence the respondents such that s/he will provide an inaccurate answer

Item non-response

refers to the failure to provide an answer to a question and is particularly common with open-ended questions

Judgement sampling

the researcher or some other "expert" uses his/her judgement in selecting the units from the population for study based on the population's parameters

Marketing research

systematic and objective gathering and analysis of information in support of marketing decisions

Mean

one of the measures of central tendency, also referred to as the arithmetic average; calculated by adding up the values for each case and dividing by the total number of cases

Median

one of the measure of central tendency, also known as the midpoint or the value below which half the values in a distribution fall

Mode

one of the measure of central tendency, also known as the value that occurs most often

Nominal scale

numbers or letters assigned to the item that serve to label it for identification or classification into mutually exclusive categories

Non-probability sampling

selection of the sample in such a way that each unit within the population or universe is not chosen by chance; three types are judgement, quota and convenience sampling

Non-response error

(or bias) occurs when the respondents who did not participate in the study for a variety of reasons are in fact different from those who did

Normal curve

(also called bell curve) a symmetrical distribution that describes the expected probability distribution of many samples or chance occurrences

Normal or bell curve

a symmetrical distribution that describes the expected probability distribution of many samples or chance occurrences

Observation technique

the systematic recording of behaviour patterns of the subjects or occurrences without questioning or in any way communicating with them

Open-ended question

there are no pre-determined answers to choose from; the respondent uses his/her own words to answer the question

Ordinal scale

permits the measurement of a degree of difference (more or less), but does not indicate the how much more or less of a particular characteristic an object has; also referred to as rank-order scale

Parameter

the population (as opposed to the sample) value of a distribution

Pilot study

the collection of data from a limited number of the ultimate consumer group targeted or the actual subjects of the research project

Population

(also called universe) all elements within a given group, whether people, objects or organizations, about whom information is required; normally expressed as "N"

Population or universe

all elements within a given group, whether people, objects or organizations, about whom information is required; normally expressed as "N"

Population parameter

the variable or characteristic of population that are being measured

Predictor variable

a variable that is thought to be independent of the outcome itself but instead influence other variables; the variable that is manipulated in experimental research

Pretest

a trial run of the questionnaire; administering a questionnaire to a small group of respondents to determine whether there are any potential problems with question wording and layout that could introduce bias

Primary research

information gathered specifically for the project at hand, whether using quantitative or qualitative research techniques Predictor variable (also called independent variable) a variable that is thought to be independent of the outcome itself but instead influence other variables; the variable that is manipulated in experimental research

Probability sampling

selection of the sample in such a way that each unit within the population or universe has a known chance of being selected; three types are simple, stratified and cluster random sampling

Pure Research

(also called basic research) advances the knowledge about a given concept or tests the acceptability of a given theory

Qualitative research

in-depth research into the motivation, attitudes and behaviour of respondents or into a given situation

Quantitative research

information in the form of numbers that can be quantified and summarized

Quota sampling

selection of units from the population that has been segmented into mutually exclusive sub-groups based on a specified proportion of sample units from each segment

Random sampling

each unit to be selected from the population has a known and equal chance of being selected

Randomization

procedure whereby the selection of subjects is based on chance

Range

the distance between the smallest and largest values of a frequency distribution

Ratio scale

numbers on the scale not only represent equal distances from one another, but there is also an absolute zero point

Reliability

the extent to which results are consistent over time and an accurate representation of the total population under study

Repeatability

(also called replicability) the ability to replicate or repeat a study to determine whether the same results can be obtained; a measure of reliability

Replicability

(also called repeatability) the ability to replicate or repeat a study to determine whether the same results can be obtained; a measure of reliability

Replicability or repeatability

the ability to replicate or repeat a study to determine whether the same results can be obtained; a measure of reliability

Representative

said of a sample that has been chosen randomly from the population, where it can be viewed as an approximation of that population

Request for Proposal

(RFP) a research buyers’ statement outlining his/her research needs issued to potential suppliers and calling for a proposed methodology and price quotation in response to the research problem described

Research design

The plan used to guide the researcher in choosing the methods and procedures for collecting, analyzing and interpreting data

Research instrument

a measuring form or data collection device, such as a questionnaire

Response error

(or bias) occurs when the respondent consciously or unconsciously provides an untruthful answer

Response error or bias

occurs when the respondent consciously or unconsciously provides an untruthful answer

Response rate

the proportion of respondents that participated in the study; the number of respondents that participated/completed a survey divided by the total number of subjects contacted or requested to participate in the study x 100 (expressed as %)

Sample

a proportion of the population; a sub-set of a larger group; normally expressed as "n"

Sample bias

occurs when the sample deviates from the true value of the population

Sample statistics

the variables or characteristics of the sample that are being measured and from which inferences are made about the population parameters

Sampling frame

(also called working population) The list of elements or physical entity from which the sample is drawn, e.g. a telephone directory or membership listing

Sampling frame error

occurs when the sampling frame does not accurately reflect the operational definition of the population or certain sample elements are not listed

Sampling frame or working population

The list of elements or physical entity from which the sample is drawn, e.g. a telephone directory or membership listing

Sampling unit

the element or group of elements targeted for selection in the sample

Scale

a set or range of numbers or scores which allows for the measurement of a particular concept or attribute

Scientific method

a systematic approach to gathering information that will lead to the unbiased assessment of whether an expected outcome is confirmed or disproved; generally follows six distinct steps: formulation of the problem; determination of sources of information; determination of research and sample design; collection of the data; analysis and interpretation of the data

Secondary data

Any information that has been previously collected or published. It includes literature as well as data assembled other projects

Secondary research

Any information that has been previously collected or published. It includes literature as well as data assembled other projects

Simple random sampling

a sampling procedure whereby each element in the population has an equal chance of being selected

Simulation

a computer model is used to recreate a certain real-life situation and determine mathematically what the results would be if a certain variable is changed in the cause and effect equation

Standard deviation

a measure of how widely scores are spread out or dispersed

Statistical significance

indicates a result that happens by chance, usually less then once in 20 times (.05)

Stratified sampling

segmenting a population into mutually exclusive subgroups or strata and then randomly selected units from each stratum

Survey technique

a method whereby primary data is collected about subjects, usually by selecting a representative sample of the population or universe under study, through the use of a questionnaire

Universe

(also called population) all elements within a given group, whether people, objects or organizations, about whom information is required; normally expressed as "N"

Validity

the ability of research to measure that which it was intended to measure; the truthfulness of the research

Variable

any criteria or factor that can be expressed numerically; any property that can take on different values

Weighting

increasing or decreasing the weight attributed to a part of the sample to make it proportionate to the characteristic found in the population Working population (also called sampling frame) The list of elements or physical entity from which the sample is drawn, e.g. a telephone directory or membership listing