Confirmatory factory analysis and application to different data sets

In this thesis, a factor analysis technique, which is commonly used in scientific research, is used as a part of the technique of validity factor analysis which is used to test the models or structures proposed by the researchers in the development of the scales or adaptation of the scales to another language. It is necessary to verify and confirm the status of a branch of the method analysis technique that requires testing the experiment by creating a model from the results obtained from the contents of the livestock production area, which is already increasing. With this analysis, the data obtained from animal husbandry were used and it was tried to be used in researches. The factor analysis technique used in the study and the confirmatory factor analysis technique which is seen as a sub-section of this study are tried to be explained. A wide variety of software can be used for the analysis. In this study, IBM SPSS and IBM SPSS AMOS software as a whole, this software was used because it provides the researcher with flexibility in use. In this study, five observed variables affecting the quality determined factor and 322 head of bovine data forming the observed variables were assigned and the results of the fit index obtained from confirmatory factor analysis were compared with the current fit indexes for estimating the quality factor. As a result of the analysis of the structure consisting of continuous variables, goodness of fit ındex 0.988, root mean square residual 7.792, χ2/DF 2.402, adjusted goodness of fit index 0.954, normed fit index 0.991, comparative fit index 0.995, root mean square error of approximation 0.066 values were obtained. The results were found to be generally compatible with the indices of conformity.