Resources Library by ANA

Random VS quota sampling methods

In survey research it is very rare for all respondents in a given population to be interviewed. We usually take a sample of that population. The reason why we can do this is because a sample can give us, not necessarily the accuracy of a census (or...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

Sampling errors

In this and the following paper, the phenomena associated with and the nature of "survey error" is explored.

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Neil Higgs

February 14, 1995

How to determine the size of a sample

How should I decide on the sample size for a survey? That is a question often posed by survey researchers to statisticians. It is difficult to answer simply as in market research we carry out surveys which more often than not carry a large number of...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

Automatic interaction detector (AID) and CHAID

In this technique we are interested how one key variable relates to other survey variables. The technique of AID is particularly useful when applied to survey tabulations. Let us suppose that we have interviewed 1,000 smokers and asked them. How many...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

Discriminant analysis

Discriminant Analysis Models are very similar to regression models, but differ in one important respect. In Discriminant Analysis the key variable of interest Y is now categorised (eg, Buyer = 1, Non-buyer = 0) rather than being continuous like...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

The problem of bias

This paper looks at the various sources of bias, discusses how to reduce them or, at least, how to measure them.

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Neil Higgs

February 14, 1995

Theory and application of multivariate methods (interdependance)

Factor Analysis (like the similar technique of Principal Components Analysis) is a multivariate statistical method used primarily for data reduction. Itis usually employed to reduce the columns of our data matrix, that is the variables measured for...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

Finding and interpreting patterns of numerical data

The simplest form of analysing data is to form survey tabulations. This is done by counting the number (and percentage) of people that fall in to the predefined categories of our questionnaire. The basic tool for the survey analyst is the cross...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires

Author: Paul Harris

February 14, 1995

Multimedia CATI/CAPI

The paper concentrates on two new tools for data collection developed by Infratest Burke in conjunction with Quantime in 1994. The first part demonstrates the value of using scanned images in a CAPI process. Computer-assisted personal interviewing...

Catalogue: Seminar 1995: Information Technology- How Can Research Keep Up With The Peace Of Change

Author: Matthias Thomae

Companies: Burke, Inc.,

January 1, 1995