In this thesis, we worked with Rasch modeling, aiming to present more practical alternatives and better quality in terms of measurement, for two different scenarios. The first one is related to the fact that measuring knowledge is something very complex and difficult to understand for professionals who are not in the psychometrics area. Through experiments involving the Rasch family models, we present the applicability and the potentiality of this model to adequately comply with the new demands of the large-scale evaluation in Brazil. The second scenario is related to the search of measuring, in the most impartial way possible, written production items which grade received by the subjectivity of the raters (severity), that is, lenient raters benefit students and severe raters penalize them. In view of these two scenarios, this thesis has the following objectives: (i) to bring to the scope of the evaluations carried out in Brazil a simpler mathematical modeling than the currently adopted, aiming at a better communication with the teachers; and (ii) the possibility of operating not only with multiple choice items, corrected automatically, but also with written production items, in which the subjectivity of the raters (severity) is controlled by the psychometric model, generating better quality measures. For this, Many-Facet Rasch Measurement was used, approaching, through practical cases, the advantages of this modeling in relation to other methodologies currently adopted in the country. Thus, in order to reach the first objective, we confronted Many-Facet Rasch Measurement with the modeling of three logistic parameters in a study of context effect in tests composed by different models of test books and with more than one discipline evaluated by test book and, for the second one, we compared the measures of proficiency through the Many-Facet Rasch Measurement with the average scores of the double corrections given by the raters to the students in tests of the essay type. From the results found, we conclude that the Many-Facet Rasch Measurement can be used in an alternative or concomitant way with the evaluations that use the three logistic parameters model, producing faster results and easier to understand by the teachers and that, in the case of essays, the measures of proficiency obtained by Many-Facet Rasch Measurement presented measures with better reliability and validity indicators, when compared to the grading measures through the Classical Theory of Testing, being, therefore, a more viable alternative for this type of evaluation. This thesis concludes with situations of usability of the methodologies studied.