Friday, 2 May 2008

Factor Analysis

The first step in factor analysis is for the computer to select the combination of variables whose shared correlations explain the greatest amount of total variance. This is called factor 1. Factor analysis will then extract a second factor. This is the combination of variables that explains the greatest amount of variance that remains, that is, variation after the first factor has been extracted. This is factor 2.

Supervisory meet

discussed meeting with Jim

need to analyse data - SPSS

need to pilot more
using data from SPSS

and then contact JIM re confidentiality agreement

and look into piloting with different questionnaires, by switching the link.

discussion of experience economy - hg not too impressed - but I think he thought we were looking at RT - even i find it difficult to get RT into exp economy.

next step get analysed - get into snap - sort out confidentiality - get links to snap- sps sorted.

said best to use all destinations - then filter by them.

Monday, 28 April 2008

Value

The reason I cannot really look at value is because the tourist does not really know the cost of individual components of his/her holiday - so the only way is to look at overall value, which could link in with CIT - does the normal questionnaire look at value at all?

I don't think so - need to ascertain whether the normal questionnaire is up for grabs...

Three levels

Attributional - Overall - Loyalty measures.

Need to be clear on which relates to which...

more

need to clarify the link to satisfaction/value etc - where did this break down exactly?

i guess the link to service was lost with the jump to experience... although the link to loyalty remains. so the link is from critical incident to experience to rt(experience) to loyalty

each of them seem theoretically sound (apart from RT)

CIT (? used by Petrick- need to check)
Experience Economy (Pine & Gilmore)
Loyalty (Zeithaml)

Leaning towards more of an orthodox look at RT - with standard questions. (allows for benchmarking).

more

what are each of CIT
EXP ECON
RT
LOYALTY

going to bring to the party?

and how can links between them give me knowledge?????

Where are we at?

Piloted the questionnaire - got about 30 back, which is reasonable - just need to get SPSS fired up to do some factor analysis. The IT guy is supposed to be coming today/tomorrow.

I really want to look at the quaetionnaire critically - what are the different elements and what exactly am I supposed to be looking for/at?

4 parts I guess - CIT, experience economy, RT, Loyalty
each of these makes up a critical element.
I need to delve more into these, and especially the RT - have I been too ambitious with my questions on the pilot? Is it too contrived and complicated? Should I have moved so far from the tried and tested (Mintel)? What about the experience economy and the incorporation of RT? If I am trying to conceptualise Rt and experience as nearly one, then why am I separating them?

Bottom line is that I don't understand the maths enough to understand what I may be capable of finding out. Can I really find links between these things? I simply don't know!

Should I focus on conceptualising Rt within an experience economy framework? Where am I getting my RT definition from? - are there just generally accepted rt initiatives?

Monday, 10 March 2008

Questionnaire Breakdown

So - I have giventhe questionnaire out to a few peeps.
and got a little bit of feedback - mainly about technical detail - layout etc.
useful, because I didn't know that bits of the form did not work, and also because the repetition was quite obvious.

I now need to look at the 4 different areas in detail - as well as factor analysis - just to clarify why I am doing these four things in tandem.
Exp
Rt
Loyalty
CIT
as well as biographical stuff.

Need to ask some key questions - summarise the key points from each method, and then look at synergies.

Exp - really need to look at Oh's battery - maybe expand the remit - the questions are sooo repetitive - Pine & Gilmore
RT - need to integrate the points from other RT questions - ?
Loyalty - just clarify why I am using this and if it is possible to expand the options - Zeithaml
CIT - need to clarify how I am going to use this - how is it normally analysed? petrick