Good morning reader,



I have encountered a, probably, simple issue with respect to the *formulae* of
a *regression model* I want to use in my research. I’m researching
alliances as part of my study Business Economics (focus Strategy) at the
Vrije Universiteit in Amsterdam. In the research model I use a moderating
variable, I’m looking for confirmation or help on the formulation of the
model.



The research model consist of 2 explanatory variables, a moderating
variable and 1 response variable. The first explanatory variable is
Culture, measured on a nominal scale and the second is Structure of the
alliance, also measured on a nominal scale. The moderating variable in the
relation towards Trust is Speed of Integration, measured as an interval.
The response variable is Trust, measured on a nominal scale (highly likely
a 5-point Likert scale). Given the research model and the measurement
scales, I intent to use a ordered probit model, often used in Marketing
models,  to execute the regression modelling. I can’t seem to find
confirmation on how to model the formulae. I have been reading and studying
R! for a couple of weeks now, read a lot of books from the R! series in the
past, but I can’t get a grasp on this seemingly simple formulae. I think I
understand how to model multinomial regression (using the R-package MNP),
how to execute a Principal Components Analysis and an Explanatory Factor
analysis (obviously I’m using a questionnaire to collect my data), but the
formulae itself seems to be to simple.



I expect to use the interaction symbol: "Trust~Culture + Structure :
Speed_of_Integration" for the formulae, but is it really this simple? Can
anybody confirm this or help me, advise me on this issue?


Kind regards,

-- 

Met vriendelijke groet,

Johan Haasnoot

De Haan & Martojo
Kerklaan 5
3645 ES Vinkeveen
Telefoon: 0297-266354
Mobiel: 06-81827665
Email: johan.haasnoot@dh-m.nl
Website: www.dehaanenmartojo.nl

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