### Table 3: Factor analysis

"... In PAGE 9: ... Several items did not load on their respective factors, and so were dropped. After dropping items, factor loadings as shown in Table3 below were achieved. This second round analysis demonstrated validity for the constructs of Structural Assurances (SA2 to SA4); Perceived Usefulness (PU3 to PU6); Situational Normality (SN1 to SN3); Calculative-based Beliefs (CB1 to CB3); Familiarity (FB2 to FB3), Trust (TR1 to TR6); and Perceived Ease of Use (PEOU1 to PEOU6).... ..."

### Table 3. Factor analysis

"... In PAGE 6: ... The factors were extracted using the principal components method (varimax rotation) which is an optimum approach to condensation prior to rotation. Table3 clearly shows that the five-factor solution is appropriate and the items display desirable convergent and discriminant validity. Table 3.... In PAGE 6: ...In specific, Table3 highlights in bold style the values higher than 0.5 (in each column), thereby indicating that the items used for the specific construct belong together and measure the same variable.... ..."

### Table 1 : Factor Analysis

### Table 3. Factor analysis

### Table 3: LISREL Estimates, Standard Errors for Confirmatory Factor Analysis and Item Means with Response Modes

in The Relationship between Educational Ideologies and Technology Acceptance in Pre-service Teachers

"... In PAGE 7: ... The questions in the Table 2 represent the three factors of technology acceptance. Table3 indicates the Lambda-x estimates and standard errors as obtained for each of the observed variables from the confirmatory factor analysis, with their abbreviations, the names of the latent variables, response modes, and respective item means. Lambda-x values, which are the loadings of each observed variable on the respective latent variable, indicate reasonable sizes to support the idea of using these latent variables in the proposed path analytic model to explain significant factors in educational technology acceptance.... ..."

### Table 8: Factor analysis of cost parameters

"... In PAGE 7: ... These three groups account for the 68.97% of the total variance of the answers to the relevant question ( Table8 ). Table 8: Factor analysis of cost parameters ... ..."

### Table 3. Preliminary factor loadings Factor

2002

"... In PAGE 24: ... To classify the Internet commerce components, exploratory principal component factor analysis was undertaken using SPSS 10, with VARIMAX rotation. Five factors with eigenvalues over one emerged, showing that there was a large amount of overlap in the 26 items (see Table3 ). Loadings of .... ..."

### Table 3 Factor analysis with two factors

"... In PAGE 6: ...ses only 6 more parameters. It is also seen in model 2 having a considerably smaller (better) BIC value. BIC is a measure that combines the loglikelihood value, which we want to maximize, with the number of parameters, which we want to keep at a minimum. The model 2 FA estimates for the three subsamples are shown in Table3 . The three subsamples have remarkably similar factor loading patterns.... ..."