Looking for any quantitative data related to national of corporate culture collected within the past 6 years. If you have access to such data, please let me know.
If you have done any data collection already, please let me know what have you collected? for example the questions, or the variables.If you are willing to help collecting the new data based on the questionnaire that I have, please see attached.
Dear Massoud,
I have no data but i have read the paper you attached and i found it very interesting, but perhaps i would have apllied another statistical methods.
Have a nice time
Helena
Dear Massoud,
They aplly Exploratory factorial analysis (EFA) and Anova to test their 4 hypotheses wich are represented in a research model - graph 1 . They are analysing all hyptheses as they were independent of each other (ex family culture has nothing to do with tower culture, missile culture, incubator culture)...
Do you think they are not connected?
But suppose their methods were well apllied: also they resume the information in a very small number of statistics....
This is my opinion..usually i do not like very much to analyse only anova results, if they were seemed necessary, just because the information is summarized in "averages" i.e "means"...usually if it is possible i would have categorize those variables at the end and would have apllied methods for categorical data...
Having and knowing the data perhaps i would have done a different analysis......
Also for me it will be very important to understand that subject in a way to make the best of data analyis. I usually I do that each time i have to analyse data...we have to understand the reality we are analysing ..because statistic is only a tool we use, but it should be connnected with the theoretical understanding of the problem we want to make conclusions.
...also they "accept" and "reject" hypotheses...and we know that all decisions have errors that we try to minimized...then...perhaps we should not say also that......
But it was an interesting paper, anyway.
Have a nice time
Helena
Thank you Helena!
So, are you suggesting a qualitative analyses on the side of the quantitative analyses?
..Not only that i think. Perhaps if we knew the nature of your variables, their scale (how many categories, if are ordinal) and n dimension of your sample ( at least i do not remember your n ) we could aplly structure equation models (SEM) or PLS....or combine SEM via ODA in the case you have a small number of categories, or your data is no normal, no symetrical....with lots of outliers.......you see there are lots of "if"...and ways to the best analysis...but dear Massoud all analysis have to be in connection with the theory....statistics should be a real tool that helps to interpret accurately data...it is like to "clean a house" to look better but we should never change the "house" ...just make it look better...in my opinion this is the job of a statistician..Do you kindly agree?
Have a nice time
Helena...
Massoud, Martina Rešlová has published this (and the full paper is for download on Internet): https://www.researchgate.net/publication/275067566_Using_test_of_Colour_Semantic_Differential_for_research_into_organizational_culture
Article Using test of Colour Semantic Differential for research into...
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