Introduction to Structural Equation Modeling s1

Corrections to

Introduction to Structural Equation Modeling using SPSS and AMOS

, line below equation (12): Should be:

’– where X is the mean of X j –’ ’– where X is the mean and s j the

standard deviation of X j –’ Page 23, 3rd para from below, last Should be: ‘that time’ line: ‘his time’ Page 30, equation (7): The parentheses around strictly and weakly should be deleted Page 32, Summated Scales, para 2, Should be: line 1: ‘Example 1.2’ ‘Example 2 in chapter (2.1)’ Page 35, line below equation (18): Should be: ‘In other words, in a test battery of n ’In other words, in a test battery of k items we can calculate n(n - 1) / 2 items we can calculate k(k - 1) / 2 different estimates of the reliability different estimates of the reliability of of the summated scale’ the summated scale’ Page 35, para below equation (19), Should be: line 4: ’ k(k - 1) / 2 ’ ‘n(n - 1) / 2 ’ Page 63, Table 3.5: Should be: The following lines Involv8 3.70 Involv8r 4.30 Involv10 2.84 Involv10r 5.16 Involv21 6.34 Involv21r 1.66 Page 83, line 3 below the list of three Should be: points: ‘I your scale is shorter’ ‘If your scale is shorter’ Page 86, Figure 4.3, panel (b): Should be: ‘Tech’ ‘Technology’ Page 87, equation (7): Should be:

Sem.AStructure (“Risk<--d” Sem.AStructure (“Risk<--d (1)) (1)”) Page 91, point 9, last line: Should be 0.001 0.0001 Page 93, Negative Variances, para 1, Should be: ‘similar’ line 6, last word: ‘different’ Page 113, Absolute Fit Measures, Should be: line 1: ‘Model Fit Summary’ ‘Summary of models’ Page 116, last para but one, last line: Should be: ‘substantive’ ‘substantively’ Page 137, last line but one: Should be:

‘next to two variable forces, the two ‘ next to two variables, forces the two variables to have the same regression variables to have the same regression weight. ‘ weight.‘ Page 142, Table 6.5: Should be:

‘Sem.BeginGroup (“SOP”,”SOP”)’ ‘Sem.BeginGroup (“SOP.xls”,”SOP.xls”)’ Page 151, Example 2, line 3: Should be: ‘in the program in Table 7’ ‘in the program for the third run’ Page 152, line 8 from below: Should be: ‘is connected to the concepts it is ‘is connected to the each of the concepts assumed to measure’ it is assumed to measure’ Page165, Table 7.5: line 8 and 9 in the program should be deleted Page 173, 2nd para from below, line 2 Delete: ‘– whether the calculations are relevant or not’ Page 200, last line: Should be: ‘model E dose behind’ ‘model E close behind’ Page 214, para 4: Should be: ‘whereas metric invariance and error ‘whereas scale invariance and error variance invariance are not variance invariance are not supported by supported by the data. the data.

, line 4 from below: Should be: ‘expression (2)’ ‘expression (5)’ Page 239,1st line after Table: Should be: ’as an estimator of sˆ 2 . In fact it can ’as an estimator of s 2 . In fact it can be be shown that X and s 2 are shown that X and sˆ 2 are maximum maximum likelihood’ likelihood’ Page 242, The Chi-Square Test: Should be:

H 0 : The model fits the data exactly H 0 : The model fits the data exactly

H 0 : The model does not fit the data H1: The model does not fit the data Page 244, equation (18): Should be: -243.9000 -243.9000 r = = 0.6000 r = = - 0.6000 310.5500 ҙ 532.2000 310.5500 ҙ 532.2000 Page 245, Regression Analysis using Add the following: SPSS, para 2 ‘However, observe that (in connection with regression analysis) SPSS calculates the correlation coefficient as positive, although we know from equation (18) that, in this case, it is negative! This is because SPSS uses the same algorithm as when the multiple correlation is calculated. See next section’