Errata for Multilevel and Longitudinal Modeling Using Stata, Third Edition
The errata for Multilevel and Longitudinal Modeling Using Stata, Third Edition, are provided below. Click here for an explanation of how to read an erratum. Click here to learn how to determine the printing number of a book.
(1) | Vol I: Chapter 4, p. 185, 3 lines under last Stata output |
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We see that two of the schools in the master data did not have matches in the using data (because they had fewer than five students per school, so we did not compute OLS estimates for them). | We see that two of the students in the master data did not have matches in the using data (because their school, school 48, had fewer than 5 students in the data, so we did not compute OLS estimates for that school). |
(1) | Vol I: Chapter 4, p. 198, line 17 |
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the asymptotic null distribution is 0.5 x^{2} (0) + 0.5 x^{2}(1); the correct | the asymptotic null distribution is 0.5 x^{2} (0) + 0.5 x^{2}(2); the correct |
(1) | Vol I: Chapter 7, p. 351, lines 1 and 2 |
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. scalar var1 = exp(2*[lns1_1_1]_cons) . scalar var2 = exp(2*[lns1_1_2]_cons) |
. scalar var2 = exp(2*[lns1_1_1]_cons) . scalar var1 = exp(2*[lns1_1_2]_cons) |
(1) | Vol I: Chapter 7, p. 357, lines 11 and 22 |
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. scalar var1 = exp(2*[lns1_1_1]_cons) . scalar var2 = exp(2*[lns1_1_2]_cons) |
. scalar var2 = exp(2*[lns1_1_1]_cons) . scalar var1 = exp(2*[lns1_1_2]_cons) |
(1) | Vol II: Chapter 10, p. 530, second Stata command |
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. display invlogit((1+2)/1) .95257413 |
. display invlogit((1+2)/2) .81757448 |
(1) | Vol II: Chapter 11, p. 621, exercise 11.3 |
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thk: ordinal THKS score postintervention (four categories) | thk: ordinal THKS score postintervention (number of items correct, categorized as 1=0–1, 2=2, 3=3, and 4=4–7) |
(1) | Vol II: Chapter 11, p. 621, exercise 11.3 |
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prethk: ordinal THKS score preintervention (four categories) | prethk: ordinal THKS score preintervention (number of items correct) |
(1) | Vol II: Chapter 13, p. 711, line 4 of 3rd paragraph |
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as discussed in chapter 8 (see exercise 16.6). | as discussed in chapter 16 (see exercise 16.6). |