Determination of the optimal approach, of the dimensions of the sample group, and guidance for the elaboration of the incoming data forms.
2 GATHERING OF DATA
By resorting to our specialized network in the field.
Recording of data in compliance with strict quality control criteria.
3 STATISTICAL ANALYSIS
Design and implementation of an Analysis Plan, with special emphasis on the selection of the best methodology according to the nature of the data, the objectives and the evaluation criteria of the assignment (doctoral thesis, paper, journal, etc.)
Elaboration of a report with solid and clear result data, the contents of which can be easily integrated in the researcher’s final documentation.
5 FINAL REVIEW OF THE PUBLICATION
Support and adaptation of the final document according to the evaluation criteria of the journal, conference, etc.
INITIAL DESIGN
The researcher describes the project’s objectives and deadlines and ERATEMA will determine the type of study and the final time frame.
GATHERING OF DATA
Researchers can be assisted by ERATEMA regarding the data gathering and provide the final database or they may request ERATEMA’s field network to carry out the data gathering and the subsequent data recording.
The researcher proposes the areas of interest, while ERATEMA lays out the most adequate statistical analysis plan; from this point, a constant flow of information between the researcher and ERATEMA is established in order to achieve the best possible results for the researcher.
FINAL PUBLICATION
ERATEMA’s technical personnel explains the results gathered to the researcher, and responds to all possible claims and doubts which may arise, subsequently advising and reviewing the final publication.
• The implementation of the EFQM model in services companies in which, by means of causal analysis carried out using LISREL methodology, a comparison is made of the relationship between some EFQM context activities (i.e. search for excellence) and the results perceived by employees and clients of a group and companies.
• Citizens’ perception and image of culture and cultural activities, where Cluster analysis allowed the outline of several segments of citizens according to lifestyles and to check for differences in their perception, their consumer habits and their cultural needs.