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principal components analysis<br />

Principal component analysis is a multivariate<br />

statistical technique designed to order and simplify<br />

the relationships between a large set of variables.<br />

Therefore, it is considered to be a data reduction<br />

technique. It is most often described as a type of<br />

factor analysis, but sometimes is presented as an<br />

alternative to it. This technique takes the correlations<br />

between a large number of variables and uses<br />

these to derive a smaller set of factors. Factors<br />

represent hypothesised underlying variables which<br />

explain the responses given to a set of the variables<br />

measured. It is a technique particularly suited to<br />

the investigation of underlying patterns in data<br />

such as large numbers of attitude statements or<br />

rating scales.<br />

All factor analyses share the same basic steps.<br />

First, a correlation matrix is produced for all the<br />

variables under investigation. These correlations<br />

are then examined in order to extract factors which<br />

explain the variance in one or more of the<br />

variables being analysed. These resulting factors<br />

are then usually rotated to produce the clearest<br />

possible interpretation of the factors.<br />

Principal components analysis is a particular<br />

method for extracting factors, a common technique<br />

used in tourism to study, for example, vacation<br />

motivation, destination choice or host attitude.<br />

Principal components are always orthogonal, that<br />

is, independent of each other, and the first factor<br />

always explains the largest amount of the variance;<br />

the second factor explains the next largest amount<br />

of the variance, and so on. Principal components<br />

are usually contrasted with common factors, which<br />

are the other main extraction method used in<br />

factor analysis. Principal components are derived<br />

from the data, whereas common factors reflect<br />

causal relationships which the researcher has<br />

hypothesised to exist between the variables. This<br />

distinction means that this analysis technique is<br />

strictly a data reduction and exploration technique.<br />

Further reading<br />

Lui, J.C., Sheldon, P.J. and Var, T. �1987) `Resident<br />

perception of the environmental impacts of<br />

tourism' Annals of Tourism Research 14�1): 17±37.<br />

�Offers an example of the use of principal<br />

components factor analysis in an investigation<br />

of resident attitudes towards tourism.)<br />

Moscardo, G., Morrison, A.M., Pearce, P.L., Lang,<br />

C. and O'Leary, J.T. �1996) `Understanding<br />

vacation destination choice through travel motivation<br />

and activities', Journal of Vacation Marketing<br />

2�2): 109±22. �Provides an example of the use<br />

of principal components factor analysis in an<br />

investigation of tourism motivation.)<br />

Stevens, J. �1986) Applied Multivariate Statistics for the<br />

Social Sciences, Hillsdale, NJ: Lawrence Erlbaum<br />

and Associates. �The chapter on principal<br />

components which discusses this technique is<br />

relatively free of mathematical equations.)<br />

product<br />

product 461<br />

GIANNA MOSCARDO, AUSTRALIA<br />

The concept of a tourism product is, at first glance,<br />

deceptively simple. A tourism product presumably<br />

is whatever one buys while away from home.<br />

Indeed, from a marketing perspective, one can<br />

define any product as `anything that can be offered<br />

to a market for attention, acquisition, use or<br />

consumption that might satisfy a need or want. It<br />

includes physical objects, services, persons, places,<br />

organisations, and ideas' �Kotler 1984: 463). In the<br />

context of tourism, the most common types of<br />

products arguably are services and places, although<br />

tourists will also use physical objects, persons,<br />

organisations and ideas.<br />

Marketers, however, tend to view tourism<br />

products ± and services in general ± as being fairly<br />

complex phenomena. Some authors suggest tourism<br />

products consist of a number of components or<br />

layers. One model suggests that tourism products<br />

consist of two parts: a `tangible' good or service,<br />

and its symbolic value. Another model suggests<br />

there is a core component �such as an airline<br />

flight) and peripheral components �such as reservations<br />

and baggage handling). A slightly more<br />

complex model posits three levels: a `formal'<br />

commodity the customer is seeking �usually conceived<br />

as specific benefit the visitor is seeking, such<br />

as a relaxing weekend), a `core' commodity actually<br />

being sold �such as a room at a resort and access<br />

to a golf course), and an enhanced commodity that

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