"... In PAGE 5: ... This broad group was introduced into a regression model with the aim of obtaining a first approxima- tion on the explanatory capacity of each ratio. In this way Pina (1989) selected the nine ratios which appear in Table1 . The first three are liquidity ratios, whilst the fourth measures the self-financing capacity of the bank.... In PAGE 6: ... We have used a procedure based on Tchebyschev inequality, which has allowed us to identify five companies as outliers (banks 14, 17, 24, 47 and 57 of Appendix A). In order to complete the study of the classifying power of each variable, a univariate analysis was carried out, the results of which appear in Table1 . For each financial ratio, the univariate statistics test for the equality of the means of the two groups.... In PAGE 8: ... Finally, the box plots also give us some idea of the form and symmetry of the distribution, albeit incomplete, so that we have applied a normality test, namely that of Kolmogorov Smirnov. As can be seen in Table1 , in five of the nine ratios analysed, specifically ratios 4, 5, 6, 7 and 8, the normality hypothesis has been rejected. 3.... ..."

"... In PAGE 15: ...(2,26) = 0.72, p = .50; interaction: F(30,390) = 3.08, p lt; .0001. See Figure 4, Plot 1). Three other ROIs exhibited the pattern we predicted for control-related regions, with the hemodynamic response increasing monotonically across condition, and both contrasts being significant. These regions are located in the dorsal ACC, the posterior parietal cortex, and in the head of the caudate nucleus (See Table3 and Figure 3, regions marked in black). The contrast between the internal numeric and the external parametric conditions was also significant (t(13) gt; 3.... In PAGE 16: ...16 The predefined left prefrontal region also conformed to our prediction, showing no significant difference between the two parametric conditions, but a significantly larger response for the internal numeric problems (See Table3 ). This pattern is consistent with the increased demands for retrievals elicited in the internal numeric condition.... In PAGE 17: ... Therefore, we concentrated on three critical conditions: external and internal parametric and internal numeric. Here, eight different regions of interest (ROI) matched our criteria: they are marked in red in Figure 3 and listed in Table3 , together with their corresponding anatomical structure, their size, and the Talairach- Tournoux coordinates of their centroids. For each of these regions, the average BOLD responses and the corresponding area under the curves were calculated for each condition, using the same method as in the confirmatory analysis.... In PAGE 35: ... Table3 : List of brain regions showing a significant (p lt; .01) Scan x Condition interaction when comparing the three critical conditions (external parametric vs.... ..."

"... In PAGE 24: ... In the first observation the participants explored the program and wrote a very short text; during the subsequent observations their texts were between 247 and 449 words per session (Frederik: meanZ355 words, Steven: meanZ330 words). Table7 gives a description of the five observation sessions. 6.... ..."

"... In PAGE 6: ...4 construct causal maps: confirmatory and exploratory [15]. The differences between the two approaches are shown in Table1 . The purpose of a confirmatory approach is to test prior hypothesis relating to a specific domain by answering the question: Does the text contain what I expect it to contain? On the other hand, the purpose of an exploratory approach is to inductively explore a new or unfamiliar domain by posing the question: What does the text contain? The choice of approach taken to construct causal maps affects the data elicitation process as well as the coding process.... ..."

"... In PAGE 6: ...able 1 : Tools for checking language subsets ............................................................................11 Table2 : Tools for code and data flow analysis .... ..."

"... In PAGE 20: ... In this case the three-, four- and five-factor solutions were inspected by both authors and none were found to be as readily interpretable as the six factor version. Table4 presents the results of the factor analysis. The six factors are listed in order of importance (determined by Eigenvalue magnitude and proportion of variance explained).... ..."

"... In PAGE 6: ... The objective of this step is to cut out items that did not load on the appropriate high- level construct. Table3 (a) reports the EFA result with principal component analysis and varimax rotation using SPSS. The pilot study result shows that item OV1, OV2, and EN1 were not loading correctly on the intended factor.... ..."