General
factorial design of experiment was used to compare all possible conditions for the following factors: Ionization Mode (APCI, ESI, DUIS), organic phase (methanol, acetonitrile), aqueous phase (5 mM ammonium acetate, 5 mM oxalic acid, 0.
The experimental data used in the preparation of this model were obtained according to the use of a two-level,
factorial experimental design that has been used over a wide range of industrial process [8].
Posteriormente se llevo a cabo un analisis exploratorio para conocer la estructura
factorial del cuestionario en poblacion mexicana.
With the purpose of inquiring whether the data collected verifies the hypotheses set out, it was decided to use, on one hand, a Confirmatory
Factorial Analysis (CFA), which allows to confirm the relationship between the six dimensions regarding Job Satisfaction and, on the other, to perform a Second Level Confirmatory
Factorial Analysis, which allows to see whether Job Satisfaction is actually manifested through the six dimensions presented in Figure 1.
The best conditions for pH, temperature and agitation for xylanase production were independently evaluated, while conditions determined by
factorial design (wastewater concentration and production period) were kept constant.
El ANOVA
factorial realizado sobre cada una de las variables dependientes, arrojo que para el pH (tabla III) no existio influencia significativa de los factores %P y V.
Se valora el esfuerzo desplegado por los autores en la validacion del instrumento, pero existen aspectos metodologicos a tomar en cuenta al momento de llevar a cabo estudios de validacion teniendo como base el analisis
factorial (2-5), ya que de estos dependen la validez cientifica de los resultados y su posterior generalizacion.
La complejidad
factorial puesta en evidencia indica que muchos de los items del Faces 20 ESP pueden ser explicados por mas de una variable latente o constructo, lo que ocasionaria problemas de interpretacion de la estructura
factorial al no precisar de forma adecuada el constructo.
A
factorial experiment can be analyzed using ANOVA or regression analysis.
The
factorial load analysis related to the four factors showed that some of them loaded simultaneously in more than one factor, indicating that they were not representative to styles that they were originally elaborated and therefore were excluded.
The objectives of this research are: (i) discuss and explain how to deal with the analysis of experiments conducted in completely randomized design (CRD) and split double
factorial design with additional treatment in the plot; (ii) program a function able to perform such analysis in a single run, using R language (R CORE TEAM, 2014); and (iii) illustrate the discussion analyzing data from an experiment on post-harvest of Niagara grapes.
El analisis
factorial confirmatorio, por el contrario, es una tecnica que no es utilizada con fines exploratorios, sino que funciona como evaluacion de un posible modelo de medicion sobre la base de una teoria a ser probada.
