Main Article Content
Factor analysis is a statistical technique applying for reducing the number of variables when there are bunches of variables involved. This can be done by grouping the related variables under the condition that the relationship of those being grouped must be at a high level in either the same (positive) or different (negative) direction. The entire groups must have no or very low level of relationship. The preliminary conditions for this application are that: the number of selected variables should greater than 20; and the sample size must be 5 or 6 six times of the number of variables concerned. Therefore, this technique enables the researcher to interpret the meaning of each variable easier, more accurate and more reliable.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
I and co-author(s) certify that articles of this proposal had not yet been published and is not in the process of publication in journals or other published sources. I and co-author accept the rules of the manuscript consideration. Both agree that the editors have the right to consider and make recommendations to the appropriate source. With this rights offering articles that have been published to Panyapiwat Institute of Management. If there is a claim of copyright infringement on the part of the text or graphics that appear in the article. I and co-author(s) agree on sole responsibility.