Market Research Glossary

Market Research Glossary

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There are currently 11 names in this directory beginning with the letter K.
Kelly Repertory Grid
It is a qualitative research technique that aims to describe how potential consumers perceive products. Participants are presented with three attributes and they are asked to think of ways in which two are similar to each other but different from the third.
Key Informant Technique
key informant refers to the person with whom an interview about a particular organization, social program, problem, or interest group is conducted.
Key Verifying
key verifying is a process whereby two individuals input identical data to prepare it for processing and analysis.
Key Word Recording
It is a method used by interviewers to record answers to open-ended questions where only the important words and phrases are recorded.
Keypunch
The process of punching holes in a card by a machine for data processing.
Keyword
Keyword research is the process of uncovering the keywords your target market uses when conducting searches.
Knowledge Management
knowledge management implies with process of organizational marketing is associated with the specific goal of knowledge.
Kolmogorov-Smirnov One Sample Test
It is a non-parametric goodness-of-fit test that compares the cumulative distribution function for a variable with a specified distribution, based on one sample.
Kolmogorov-Smirnov Test
The Kolmogorov–Smirnov (KS) test is one of many goodness-of-fit tests that assess whether univariate data have a hypothesized continuous probability distribution.
Kolmogorov-Smirnov Two Sample Test
It is a non-parametric statistical test to determine whether two distributions are the same. The test takes into account differences in means, dispersion and skewness.
Kurtosis
It is a measure of the relative peakedness or flatness of a distribution curve compared with a normal distribution. A positive Kurtosis value indicates that the distribution is more peaked than a normal distribution. A negative Kurtosis value indicates that the distribution is flatter than a normal distribution.