Marketing Research Chapter 11 Vocab

The aggregate of all the elements, sharing some common set of characteristics, that compromises the universe for the purpose of the marketing research problem.

A complete enumeration of the elements of a population or study objects.

A subgroup of the elements of the population selected for participation in the study.

The collection of elements or objects that possess the information sought by the researcher and about which inferences are to be made.

An object that possesses the information sought by the researcher.

The basic unit containing the elements of the population to be sampled.

A representation of the elements of the target population. It consists of a list or set of directions for identifying the target population.

A selection method in which the elements are selected sequentially. The Bayesian approach explicitly incorporates prior information about population parameters as well as the costs and probabilities associated with making wrong decisions.

A sampling technique in which an element can be included in the sample more than once.

A sampling technique in which an element cannot be included in the sample more than once.

the number of elements to be included in a study.

Sampling techniques that do not use chance selection procedures. Rather, they rely on the personal judgment of the researcher.

A sampling procedure in which each element of the population has a fixed probabilistic chance of being selected for the sample.

A nonprobability sampling technique that attempts to obtain a sample of convenient elements. The selection of sampling units is left primarily to the interviewer.

A form of convenience sampling in which the population elements are purposely selected based on the judgment of the researcher.

A nonprobability sampling technique that is two-stage restricted judgmental sampling. The first stage consists of developing control categories or quotas of population elements. In the second stage, sample elements are selected based on convenience or judgment.

A nonprobbility sampling technique in which an initial group of respondents is selected randomly. Subsequent respondents are selected based on referrals or information provided by the initial respondent. This process may be carried out in waves by obtaining referrals from referrals.

A probability sampling technique in which each elements in the population has a known and equal probability of selection. Every element is selected independently of every other element and the sample is drawn by a random procedure form a sampling frame.

A probability sampling technique in which the sample is chosen by selecting a random starting point and then picking every i^th element in succession from the sampling frame.

A probability sampling technique that uses a two-step process to partition the population into subpopulations, or strata. Elements are selected from each stratum by a random procedure.

First, the target population is divided into mutually exclusive and collectively exhaustive subpopulations called clusters. Then a random sample of clusters is selected based on a probability sampling technique such as simple random sampling. For each selected cluster, either all the elements are included in the sample or a sample of elements is drawn probabilistically.

A common form of cluster sampling in which the cluster consists of geographic areas such as counties, housing tracts, blocks or other area descriptions.

A selection method in which the clusters are selected with probability proportional to size and the probability of selecting a sampling unit in a selected cluster varies inversely with the size of the cluster.

A probability sampling technique in which the population elements are sampled sequentially, data collection and analysis are done at each stage, and a decision is made as to whether additional population elements should be sampled.

A sampling technique in which certain population elements are sampled twice.