These last studies have primarily used a quantitative approach, making use of traditional statistical techniques such as multiple regression and ANOVA; however, various studies can also be found where the LLTM is used to estimate the predictive power of certain characteristics of logical reasoning and reading comprehension items (Embretson & Wetzel, 1987; Sheehan & Mislevy, 1990; Gorin, 2005; Sonnleitner, 2008; Attoresi, Picon, Abal, Aguerri & Galibert, 2009; Gilbert, Picon, Lozzia, Aguerri & Attorresi, 2010; Poinstingl, 2009).
The different studies that have used the LLTM for this purpose, along with those that used classical quantitative data analysis techniques, have served to justify the sources of difficulty that will be explained below.
In section 1.3, the appropriateness of the model is checked with the help of Log-Linear Transformation Model (LLTM) and Log-Exponential Transformation Model (LETM).
In this section we will test the appropriateness of the reverse and direct methods by using Log-Linear Transformation Model (LLTM) and Log-ExponentialTransformation Model (LETM).