In the gravity analysis shown as points in our
charts one may sometimes ask the question whether a distance between two points is
significant. There are more or less sophisticated ways of tackling this, but the simplest
is to run a chi-square of the percentages for the products (or equivalent categories)
across the nine segments. The correspondence analysis that reproduces the value space is a
summary measure of the underlying table. If the table shows significance, the chart also
has statistical significance.
In practice, clients often provide reasonable
interpretations of distances, and the question of statistical significance does not often
arise. Always look both at the frequency analyses of value segments and the gravity
analysis. Both are used by clients in decision-making. "Do I want to grow in these
segments? Do I want to reposition to another part of the value space?"

ValueScope AB provides licensed clients with
regional reference surveys, as they become available. We have one for the four main Nordic
countries.

In social science we do not have scales with a
fixed zero and equal and interchangeable units. The Consumer Valuescope copes with this
problem by using (1) different national reference surveys for each country, and (2)
regional and international reference surveys.
One might say that you have completed a reference
survey all subsequent surveys will use its coefficients. In this way the changes in
positions in value space and size of the various value types over time will be real, and
they will be accurately assessed within normal sampling errors.
If we would recalculate our types from scratch
each time, we would not have this security.
You may, of course, later do a a new reference
survey or pool several smaller surveys into one - to create a a better reference survey.
Then we would again recalculate the previous measurements from its coefficients; a kind of
DC and AD approach from the reference point in time.
In a national reference survey the types are
defined by the cutting point 0 and a standardized (normalized) scale with average 0 and a
fixed SD for each of the three dimensions. This means that all national reference surveys
have approximately the same size of their value groups. It is like a geographical atlas in
which each country is allocated a page regardless of the size of the country. So long you
dont travel outside your own country this is no problem. The variations between
types among four national Gallup surveys should therefore be next to nil. Actually this
vary somewhat due to scaling imperfections.
|
Belgium |
Japan |
New Zealand |
Finland |
|
% |
% |
% |
% |
| Centrites |
12.5 |
10.0 |
12.3 |
8.6 |
| Folks |
11.0 |
11.8 |
13.4 |
9.8 |
| Uprights |
8.9 |
13.4 |
10.2 |
12.2 |
| Belongers |
12.7 |
12.1 |
11.3 |
11.0 |
| MatterOfFacts |
12.2 |
11.7 |
10.9 |
9.6 |
| Zealots |
11.6 |
10.1 |
10.0 |
12.2 |
| Advocates |
11.7 |
9.9 |
9.9 |
12.2 |
| Minglers |
8.9 |
9.7 |
8.9 |
11.4 |
| DareDevils |
10.5 |
11.3 |
13.1 |
13.0 |
Each research institute can assure
the clients in their national markets of consistency of measurements. The equal size of
the segments makes for sampling and tabulation efficiency with the Ns for each column
roughly the same.

[This is the answer to the question.]

Demographics, as all know, is the descriptions of
consumers in terms of their age, sex, education, income etc. Valuegraphics is the
description of consumers in terms of the values they hold.
ValueScope AB plans to provide an international
reference survey consisting of the three biggest market economies: the US, Japan and
Germany. All other countries may be scaled in terms of the Big Three.

[This is the answer to the question.]

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