The self-administered questionnaire in which the interviewee fills-in himself the questionnaire with the interviewer's assistance, is one of the various methods of data-collection in sample-surveys. In order to situate the self-administered questionnaire's applications, we will briefly recall the main data-collection methods which may be divided in two major classes.
The self-administered questionnaire in which the interviewee fills-in himself the questionnaire with the interviewer's assistance, is one of the various methods of data-collection in sample-surveys. In order to situate the self-administered questionnaire's applications, we will briefly recall the main data-collection methods which may be divided in two major classes.
Marketing Research, through its aim and furthermore by its methodology, has acquired a reputation which is incontestable. The complexity of the problems which must be solved and the evolution, on the one hand, of psycho-sociological science, and, on the other hand, of statistical technology and computer science, have contributed to a very elaborate scheme in Marketing Research. Nowadays, it is quite normal to associate with the problems encountered in the collection of information, analysis and computerised methods which lead to a better comprehension of this information. The frequentation of the situation and computer science has produced certain habits. The aim of this paper is to conjure up certain key-points connected with the two, by attempting to point out to users of opinion polls, surveys and computerised methods, the great utility in making use of these relationships rather than putting up with them.
Marketing Research, through its aim and furthermore by its methodology, has acquired a reputation which is incontestable. The complexity of the problems which must be solved and the evolution, on the one hand, of psycho-sociological science, and, on the other hand, of statistical technology and computer science, have contributed to a very elaborate scheme in Marketing Research. Nowadays, it is quite normal to associate with the problems encountered in the collection of information, analysis and computerised methods which lead to a better comprehension of this information. The frequentation of the situation and computer science has produced certain habits. The aim of this paper is to conjure up certain key-points connected with the two, by attempting to point out to users of opinion polls, surveys and computerised methods, the great utility in making use of these relationships rather than putting up with them.
This paper is directed at the numerate non-statistician. Its aim is to put the subject of weighting into perspective, to bring out the very real dangers and pitfalls of excessive weighting, to show how the effect of weighting can be assessed and to draw your attention in passing to some sampling techniques which can sometimes be used to minimise or totally eliminate the need for weighting surveys. My approach is via case studies rather than through some sophisticated general theory of weighting.
This paper approaches designing of questionnaires for the personal interview from the point of view of attempting to illustrate ways in which the questionnaire designer can make the interviewer's task less difficult. It starts off by explaining why there is an apparent incompatibility between the requirements of the questionnaire designer and those of the interviewer, in particular the fact that complex and sophisticated marketing models have necessitated the use of long and complicated questionnaires. The paper then goes on to suggest ways in which the interviewer can be helped, covering 4 specific aspects of questionnaire: design; length; complexity; layout and wording. Finally 4 Golden Rules for questionnaire designers are presented.
The first part of this paper attempts to enumerate the problems which face the sampling practitioner when he has to select the criteria typifying non-random populations samples. His choice is made in the light of the aims of the survey concerned and has to take account of two imperatives: 1. the criteria must be readily, identifiable by the field interviewers; 2. they must bear causal relationships to the variables at issue. The second part tries to demonstrate how a more precise formulation of these requirements enables the problem to be seen in terms of statistical analysis, then have DSP libraries can help to find a solution. An account is then given of the programmes which were used for fixing the quotas involved in a 5,000-household survey of electrical goods ownership: a data consolidation programme followed by a segmentation programme. Brief notes on the results of this first experiment hope to stimulate interest in the pre-survey application of methods which have hitherto been deployed mainly at the post-survey stage.
The first part of this paper attempts to enumerate the problems which face the sampling practitioner when he has to select the criteria typifying non-random populations samples. His choice is made in the light of the aims of the survey concerned and has to take account of two imperatives: 1. the criteria must be readily, identifiable by the field interviewers; 2. they must bear causal relationships to the variables at issue. The second part tries to demonstrate how a more precise formulation of these requirements enables the problem to be seen in terms of statistical analysis, then have DSP libraries can help to find a solution. An account is then given of the programmes which were used for fixing the quotas involved in a 5,000-household survey of electrical goods ownership: a data consolidation programme followed by a segmentation programme. Brief notes on the results of this first experiment hope to stimulate interest in the pre-survey application of methods which have hitherto been deployed mainly at the post-survey stage.
While carrying out the fieldwork for the British Standardisation of the Cattell 16 Personality Factor (PF) inventory, BMRB were able to collect personality data on a large number of their interviewers. Analysis of these personality data in relation to various measures of interviewer performance has produced.
Today I should like, in the main, to put before you certain possibilities and models which have already been successful in practice and which are no doubt suitable for conducting empirical field research with these pound scales - in terms of the metaphor.
Today I should like, in the main, to put before you certain possibilities and models which have already been successful in practice and which are no doubt suitable for conducting empirical field research with these pound scales - in terms of the metaphor.
I would reiterate that there should be minimum standards and training required by the Market Research Society and that buyers of market research are made aware of the companies who abide by these standards.