### 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 2 (con apos;t): Personality and Performance, Latent Variable Equations, 1992 (Bush and Clinton)

2000

"... In PAGE 33: ...f.) 496 Table2 : Personality and Performance, Latent Variable Equations, 1984 (Reagan, Mondale) Notes: Data Source = 1984 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations).... In PAGE 34: ...f.) 153 Table2 (cont.): Personality and Performance, Latent Variable Equations, 1988 (Bush and Dukakis) Character Empathy Bush Dukakis Bush Dukakis Notes: Data Source = 1988 NES.... In PAGE 36: ...otes: Data Source = 1996 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations). Standardized coefficients are italicized. Estimated with Proc CALIS (SAS) Leadership Competence Clinton Dole Clinton Dole Table2 (con apos;t): Personality and Performance, Latent Variable Equations, 1996 (Clinton and Dole) Character Empathy Clinton Dole Clinton... ..."

### Table 2 (con apos;t): Personality and Performance, Latent Variable Equations, 1996 (Clinton and Dole)

2000

"... In PAGE 33: ...f.) 496 Table2 : Personality and Performance, Latent Variable Equations, 1984 (Reagan, Mondale) Notes: Data Source = 1984 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations).... In PAGE 34: ...f.) 153 Table2 (cont.): Personality and Performance, Latent Variable Equations, 1988 (Bush and Dukakis) Character Empathy Bush Dukakis Bush Dukakis Notes: Data Source = 1988 NES.... In PAGE 35: ...f.) 153 Table2 (con apos;t): Personality and Performance, Latent Variable Equations, 1992 (Bush and Clinton) Character Empathy Bush Clinton Bush Clinton Notes: Data Source = 1992 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations).... ..."

### Table 2 (cont.): Personality and Performance, Latent Variable Equations, 1988 (Bush and Dukakis)

2000

"... In PAGE 33: ...f.) 496 Table2 : Personality and Performance, Latent Variable Equations, 1984 (Reagan, Mondale) Notes: Data Source = 1984 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations).... In PAGE 35: ...f.) 153 Table2 (con apos;t): Personality and Performance, Latent Variable Equations, 1992 (Bush and Clinton) Character Empathy Bush Clinton Bush Clinton Notes: Data Source = 1992 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations).... In PAGE 36: ...otes: Data Source = 1996 NES. Cell entries are confirmatory factor analysis coefficients (from manifest variable equations). Standardized coefficients are italicized. Estimated with Proc CALIS (SAS) Leadership Competence Clinton Dole Clinton Dole Table2 (con apos;t): Personality and Performance, Latent Variable Equations, 1996 (Clinton and Dole) Character Empathy Clinton Dole Clinton... ..."

### Table 3.Summary of the Cox proportional hazards regression analysis with genotype summarized by the two latent variables M1 and M2. Estimates of the mean, the probability of a negative e ect and 2.5th, 5th, 95th and 97.5th percentiles of the posteriors of selected param- eters are given under each of the three penetrance assumptions.

2000

"... In PAGE 10: ... An estimate of the pth percentile of one of the poste- rior apos;s marginals is found by ordering the sample, calcu- lating cumulative sums of the weights and reporting the smallest value with cumulative weight greater than p=100. Summaries of the marginal posterior samples of BRCA1 and BRCA2 mutation status coe cients and the coe - cients of the mutation status{radiation treatment interac- tion terms are given in Table3 . The table contains esti- mates of the posterior means, the probability of a nega- tive e ect and the 2.... In PAGE 10: ...ive e ect and the 2.5th, 5th, 95th and 97.5th percentiles of the four marginal distributions. Table3 also gives these summaries for two shorter (6,000 coe cient vectors from the posterior re ecting 250 imputations of bivariate muta- tion status) MCMC samples, one where the three{quarters penetrance carrier probabilities are used to impute genetic status and the other where the half penetrance probabili- ties are used. In the combined{gene analysis we found evidence of a protective e ect in patients with a probable mutation at BRCA1 or BRCA2.... ..."

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### Table 4. Factor loadings for two latent factors extracted from the original six logistic variables.

"... In PAGE 8: ... We then apply our clustering technique on these latent factors. Table4 displays the results of the Principal Component Analysis. Table 4.... ..."

### Table 4. Factor loadings for two latent factors extracted from the original six logistic variables.

"... In PAGE 8: ... We then apply our clustering technique on these latent factors. Table4 displays the results of the Principal Component Analysis. Table 4.... ..."

### Table 4. Factor loadings for two latent factors extracted from the original six logistic variables.

"... In PAGE 8: ... We then apply our clustering technique on these latent factors. Table4 displays the results of the Principal Component Analysis. Table 4.... ..."

### Table 4 Mean Correlations Between the Latent Change and the Latent Third Variable

2000

"... In PAGE 13: ...change variable for the six conditions can be found in Table4 . The results for the proposed model were similar to the results found for the change score cor- relations; namely, the relationship between the third variables and change was unaffected by the relationship between the third variables and baseline.... ..."