Gallup International was commissioned by Hakuhodo Inc., acting on behalf of the Japanese Foreign Ministry, to conduct a survey on the Image of Japan in Europe today. Approximately 1000 people were interviewed by the Gallup affiliates in each of the following five countries: Britain, France, Germany, Italy and Belgium. A feature of the survey was the use of standardised demographics across all five countries in order to facilitate comparable analysis for each country.
A survey based on 2000 personal interviews, each lasting about one hour was conducted amongst Thomson clients in Mallorca. Consumer attitudes towards food, quality of service in the dining-room, bar service, hotel entertainment, bedrooms and other factors were examined in relation to the customers' overall rating of the hotel. The paper concludes with an AID analysis which shows the relationship between these various factors and the overall rating of the hotel.
Covariance analysis is a combination of regression analysis and the analysis of variance. From the latter's standpoint it can be used with any of the above experimental designs to increase the precision of the experiment by removing one or more uncontrolled variables from the error term. From a regression standpoint it can be used to compare several regression lines to test whether they differ significantly from each other and to identify the sources of variance. This paper will illustrate the use of covariance analysis, primarily from a regression standpoint using an example taken from industrial marketing. At a later stage it will be suggested that covariance analysis can be used in the analysis of variance context to examine the competitiveness of price-setting policies by companies,
This paper outlines some current research being conducted at the London Business School, sponsored by the Leverhulme Trust in conjunction with the Gallup Poll, into how market survey data can be used to measure the state of consumer expectations and to examine the way in which it influences expenditure. There are two types of survey (generally referred to as anticipation surveys) which attempt to measure the strength of consumer expectations. The first, known as an Attitude Survey, is a more general measure of the state of consumer optimism and pessimism and is derived from a number of attitude questions relating to how a consumer views the likely outcome of economic conditions in the near future. The replies are summarised into a single index called the 'Index of Consumer Confidence' . The second type of survey, known as Buying-Intentions Survey, is concerned with measuring directly the expressed buying intentions for specific consumer durables, such as automobiles and major household goods