data/vanderPol17.R
In mikewlcheung/metasem: Meta-Analysis using Structural Equation Modeling
vanderPol17 <-
structure(list(Number = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
60, 61), Study = c("Dakof et al.", "Dakof et al.", "Dakof et al.",
"Dakof et al.", "Dakof et al.", "Dakof et al.", "Liddle et al.",
"Liddle et al.", "Liddle et al.", "Liddle et al.", "Liddle et al.",
"Liddle et al.", "Schaub et al.", "Schaub et al.", "Schaub et al.",
"Rigter et al.", "Rigter et al.", "Rigter et al.", "Hendriks et al.",
"Hendriks et al.", "Hendriks et al.", "Hendriks et al.", "Hendriks et al.",
"Hendriks et al.", "Hendriks et al.", "Liddle et al.", "Phan",
"Phan", "Phan", "Grichting", "Grichting", "Grichting", "Tossmann",
"Tossmann", "Tossmann", "Verbanck", "Verbanck", "Verbanck", "Henderson et al. I",
"Henderson et al. I", "Henderson et al. II", "Henderson et al.",
"Henderson et al.", "Liddle et al.", "Liddle et al.", "Liddle et al.",
"Liddle et al.", "Hogue et al.", "Hogue et al.", "Hogue et al.",
"Hogue et al.", "Hogue et al.", "Hogue et al.", "Dennis et al. I",
"Dennis et al. II", "Liddle et al. I", "Liddle et al. I", "Liddle et al. I",
"Liddle et al. II", "Liddle et al. II", "Liddle et al. II"),
Year = c("2015", "2015", "2015", "2015", "2015", "2015",
"Draft", "Draft", "Draft", "Draft", "Draft", "Draft", "2014",
"2014", "2014", "2013", "2013", "2013", "2012", "2012", "2011",
"2011", "2011", "2011", "2011", "2011", "2011", "2011", "2011",
"2011", "2011", "2011", "2010", "2010", "2010", "2010", "2010",
"2010", "2010", "2010", "2010", "2010", "2009", "2009", "2009",
"2009", "2008", "2008", "2008", "2008", "2004", "2004", "2004",
"2004", "2004", "2001", "2001", "2001", "2001", "2001", "2001"
), N = c(112, 54, 58, 112, 112, 112, 113, 79, 34, 113, 113,
113, 450, 450, 450, 450, 237, 213, 109, 109, 109, 50, 53,
37, 109, 154, 101, 58, 43, 60, 20, 40, 120, 66, 54, 60, 39,
21, 45, 178, 50, 104, 83, 83, 83, 83, 224, 136, 136, 136,
51, 51, 51, 200, 200, 152, 152, 152, 152, 152, 152), N_target = c(55,
24, 31, 55, 55, 55, 57, 43, 14, 57, 57, 57, 212, 212, 212,
212, 108, 104, 55, 55, 55, 28, 24, 21, 55, 76, 38, 20, 18,
30, 8, 22, 59, 33, 26, 30, 19, 11, 22, 90, 25, 51, 40, 40,
40, 40, 112, 74, 74, 74, 25, 25, 25, 100, 100, 47, 47, 47,
47, 47, 47), N_control = c(57, 30, 27, 57, 57, 57, 56, 36,
20, 56, 56, 56, 238, 238, 238, 238, 129, 109, 54, 54, 54,
22, 29, 16, 54, 78, 63, 38, 25, 30, 12, 18, 61, 33, 28, 30,
20, 10, 23, 88, 25, 53, 43, 43, 43, 43, 112, 62, 62, 62,
26, 26, 26, 100, 100, 105, 105, 105, 105, 105, 105), Comparison_condition = c("Group",
"Group", "Group", "Group", "Group", "Group", "CT", "CT",
"CT", "CT", "CT", "CT", "CBT", "CBT", "CBT", "CBT", "CBT",
"CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CT",
"CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CBT",
"CBT", "CBT", "CBT", "CBT", "CT", "CT", "Group", "Group",
"Group", "Group", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT",
"CBT", "CT", "CT", "Group", "Group", "Group", "CT", "CT",
"CT"), Study_ID = c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 5, 5, 4, 4, 6, 6, 6, 6, 5, 5, 5, 5, 5,
5, 5, 7, 7, 8, 8, 8, 8, 8, 8), Age_mean = c(16, 16.26, 15.9,
16, 16, 16, 15.36, 15.33, 15.44, 15.36, 15.36, 15.36, 16.3,
16.3, 16.3, 16.3, 16.39, 16.09, 16.8, 16.8, 16.8, 17.03,
17.03, 16.8, 16.8, 15.4, 16.29, 16.48, 16.02, 16.07, 16.15,
16.03, 16.21, 16.42, 15.96, 16.6, 16.67, 16.48, 15.53, 15.36,
15.52, 15.36, 13.73, 13.73, 13.73, 13.73, 15.4, 15.5, 15.5,
15.5, 15.2, 15.2, 15.2, 16, 16, 15.9, 15.9, 15.9, 15.9, 15.9,
15.9), Follow_up = c(18, 18, 18, 18, 18, 18, 12, 12, 12,
12, 12, 12, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 12, 12, 3, 3, 6, 6, 6, 6,
12, 6, 6, 6, 12, 12, 12, 9, 9, 12, 12, 12, 12, 12, 12), Per_Males = c(88,
NA, NA, 88, 88, 88, 75, NA, NA, 75, 75, 75, 85, 85, 85, 85,
NA, NA, 80, 80, 80, NA, NA, NA, 80, 83, 89, 89, 89, 92, 92,
92, 83, 83, 83, 93, 93, 93, NA, 81, NA, NA, 74, 74, 74, 74,
81, 81, 81, 81, 67, 67, 67, 83, 83, 80, 80, 80, 80, 80, 80
), Per_Minorities = c(100, 100, 100, 100, 100, 100, 88, NA,
NA, 88, 88, 88, 40, 40, 40, 40, NA, NA, 28, 28, 28, NA, NA,
NA, 28, 84, 33, 33, 33, 67, 67, 67, 30, 30, 30, 37, 37, 37,
NA, NA, NA, NA, 84, 97, 97, 97, 97, 80, 80, 80, 75, 75, 75,
39, 39, 49, 49, 49, 49, 49, 49), Per_Conduct_disorder = c(52,
NA, NA, 52, 52, 52, 77, NA, NA, 77, 77, 77, NA, NA, NA, NA,
NA, NA, 29, 29, 29, 29, 29, 84, 29, 43, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 39, 39, 39, 39,
50, 50, 50, 50, 69, 69, 69, 53, 53, NA, NA, NA, NA, NA, NA
), Per_Severe_cannabis_users = c(48, 100, 0, 48, 48, 48,
70, 100, 0, 70, 70, 70, 48, 48, 48, 48, 100, 0, 51, 51, 51,
100, 0, 57, 51, 33, 57, 100, 0, 33, 100, 0, 55, 100, 0, 65,
100, 0, 100, 0, 100, 0, 2, 2, 2, 2, 21, NA, NA, NA, NA, NA,
NA, NA, NA, 1, 1, 1, 1, 1, 1), Outcome_measure = c("Substance abuse",
"Substance abuse", "Substance abuse", "Delinquency", "Externalizing",
"Internalizing", "Substance abuse", "Substance abuse", "Substance abuse",
"Delinquency", "Externalizing", "Internalizing", "Externalizing",
"Internalizing", "Family", "Substance abuse", "Substance abuse",
"Substance abuse", "Externalizing", "Internalizing", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Delinquency", "Delinquency", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Family", "Substance abuse",
"Delinquency", "Internalizing", "Substance abuse", "Substance abuse",
"Externalizing", "Internalizing", "Substance abuse", "Externalizing",
"Internalizing", "Substance abuse", "Substance abuse", "Substance abuse",
"Externalizing", "Family", "Substance abuse", "Externalizing",
"Family"), d = c(0.05, 0.09, 0.01, 0.14, 0.21, 0.24, 0.05,
0.29, -0.62, 0.13, 0.2, 0.11, 0.05, 0.1, 0.18, 0.25, 0.35,
0.11, 0.25, 0.42, 0.14, 0.41, -0.04, 1.16, 0, 0.3, 0.14,
-0.19, 0.38, 0, 0.28, -0.21, 0.51, 0.7, 0.26, 0.65, 0.53,
0.83, 0.51, 0.33, 0.23, -0.34, 0.44, 1.07, 0.31, 0.54, 0.59,
0.47, 0.56, 0.76, 0.47, 0.62, 0.74, -0.06, -0.26, 0.25, -0.1,
0.61, 0.85, 0.35, 0.31), v = c(0.0357368385452267, 0.075075,
0.0692959636221316, 0.035813177830941, 0.035922552830941,
0.0359828206880838, 0.0354120644531683, 0.0515658702122788,
0.127081512605042, 0.0354757812673276, 0.0355779936567081,
0.0354545423292745, 0.00892143958212216, 0.00892977291545549,
0.00895466180434438, 0.00898810624878882, 0.0172696360623208,
0.0188181002978587, 0.0369870339480431, 0.0375095110122633,
0.0367902449572174, 0.0828498311688312, 0.076164519626979,
0.128302831402831, 0.0367003367003367, 0.0262706153495627,
0.0422858350496704, 0.0766269963702359, 0.0972346253229974,
0.0666666666666667, 0.210293333333333, 0.101561351010101,
0.0344263451653237, 0.0643181818181818, 0.0748017501017501,
0.0701875, 0.10623286099865, 0.207311471861472, 0.0918228063241107,
0.022780646351152, 0.080529, 0.039031536896326, 0.0494220790137293,
0.0551528019052956, 0.048834729616139, 0.0500124404595125,
0.0186341517857143, 0.0304546781245192, 0.0307954869480486,
0.0317660751833427, 0.0806272247360483, 0.0822301659125188,
0.0838301659125189, 0.020009, 0.020169, 0.0310059973737535,
0.0308333000053325, 0.0320244184263851, 0.0331770500053325,
0.0312033657948062, 0.031116523689543)), row.names = c(NA,
-61L), class = "data.frame")
mikewlcheung/metasem documentation built on April 9, 2024, 2:17 a.m.
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vanderPol17 <-
structure(list(Number = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
60, 61), Study = c("Dakof et al.", "Dakof et al.", "Dakof et al.",
"Dakof et al.", "Dakof et al.", "Dakof et al.", "Liddle et al.",
"Liddle et al.", "Liddle et al.", "Liddle et al.", "Liddle et al.",
"Liddle et al.", "Schaub et al.", "Schaub et al.", "Schaub et al.",
"Rigter et al.", "Rigter et al.", "Rigter et al.", "Hendriks et al.",
"Hendriks et al.", "Hendriks et al.", "Hendriks et al.", "Hendriks et al.",
"Hendriks et al.", "Hendriks et al.", "Liddle et al.", "Phan",
"Phan", "Phan", "Grichting", "Grichting", "Grichting", "Tossmann",
"Tossmann", "Tossmann", "Verbanck", "Verbanck", "Verbanck", "Henderson et al. I",
"Henderson et al. I", "Henderson et al. II", "Henderson et al.",
"Henderson et al.", "Liddle et al.", "Liddle et al.", "Liddle et al.",
"Liddle et al.", "Hogue et al.", "Hogue et al.", "Hogue et al.",
"Hogue et al.", "Hogue et al.", "Hogue et al.", "Dennis et al. I",
"Dennis et al. II", "Liddle et al. I", "Liddle et al. I", "Liddle et al. I",
"Liddle et al. II", "Liddle et al. II", "Liddle et al. II"),
Year = c("2015", "2015", "2015", "2015", "2015", "2015",
"Draft", "Draft", "Draft", "Draft", "Draft", "Draft", "2014",
"2014", "2014", "2013", "2013", "2013", "2012", "2012", "2011",
"2011", "2011", "2011", "2011", "2011", "2011", "2011", "2011",
"2011", "2011", "2011", "2010", "2010", "2010", "2010", "2010",
"2010", "2010", "2010", "2010", "2010", "2009", "2009", "2009",
"2009", "2008", "2008", "2008", "2008", "2004", "2004", "2004",
"2004", "2004", "2001", "2001", "2001", "2001", "2001", "2001"
), N = c(112, 54, 58, 112, 112, 112, 113, 79, 34, 113, 113,
113, 450, 450, 450, 450, 237, 213, 109, 109, 109, 50, 53,
37, 109, 154, 101, 58, 43, 60, 20, 40, 120, 66, 54, 60, 39,
21, 45, 178, 50, 104, 83, 83, 83, 83, 224, 136, 136, 136,
51, 51, 51, 200, 200, 152, 152, 152, 152, 152, 152), N_target = c(55,
24, 31, 55, 55, 55, 57, 43, 14, 57, 57, 57, 212, 212, 212,
212, 108, 104, 55, 55, 55, 28, 24, 21, 55, 76, 38, 20, 18,
30, 8, 22, 59, 33, 26, 30, 19, 11, 22, 90, 25, 51, 40, 40,
40, 40, 112, 74, 74, 74, 25, 25, 25, 100, 100, 47, 47, 47,
47, 47, 47), N_control = c(57, 30, 27, 57, 57, 57, 56, 36,
20, 56, 56, 56, 238, 238, 238, 238, 129, 109, 54, 54, 54,
22, 29, 16, 54, 78, 63, 38, 25, 30, 12, 18, 61, 33, 28, 30,
20, 10, 23, 88, 25, 53, 43, 43, 43, 43, 112, 62, 62, 62,
26, 26, 26, 100, 100, 105, 105, 105, 105, 105, 105), Comparison_condition = c("Group",
"Group", "Group", "Group", "Group", "Group", "CT", "CT",
"CT", "CT", "CT", "CT", "CBT", "CBT", "CBT", "CBT", "CBT",
"CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT", "CT",
"CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CBT",
"CBT", "CBT", "CBT", "CBT", "CT", "CT", "Group", "Group",
"Group", "Group", "CBT", "CBT", "CBT", "CBT", "CBT", "CBT",
"CBT", "CT", "CT", "Group", "Group", "Group", "CT", "CT",
"CT"), Study_ID = c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 5, 5, 4, 4, 6, 6, 6, 6, 5, 5, 5, 5, 5,
5, 5, 7, 7, 8, 8, 8, 8, 8, 8), Age_mean = c(16, 16.26, 15.9,
16, 16, 16, 15.36, 15.33, 15.44, 15.36, 15.36, 15.36, 16.3,
16.3, 16.3, 16.3, 16.39, 16.09, 16.8, 16.8, 16.8, 17.03,
17.03, 16.8, 16.8, 15.4, 16.29, 16.48, 16.02, 16.07, 16.15,
16.03, 16.21, 16.42, 15.96, 16.6, 16.67, 16.48, 15.53, 15.36,
15.52, 15.36, 13.73, 13.73, 13.73, 13.73, 15.4, 15.5, 15.5,
15.5, 15.2, 15.2, 15.2, 16, 16, 15.9, 15.9, 15.9, 15.9, 15.9,
15.9), Follow_up = c(18, 18, 18, 18, 18, 18, 12, 12, 12,
12, 12, 12, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 12, 12, 3, 3, 6, 6, 6, 6,
12, 6, 6, 6, 12, 12, 12, 9, 9, 12, 12, 12, 12, 12, 12), Per_Males = c(88,
NA, NA, 88, 88, 88, 75, NA, NA, 75, 75, 75, 85, 85, 85, 85,
NA, NA, 80, 80, 80, NA, NA, NA, 80, 83, 89, 89, 89, 92, 92,
92, 83, 83, 83, 93, 93, 93, NA, 81, NA, NA, 74, 74, 74, 74,
81, 81, 81, 81, 67, 67, 67, 83, 83, 80, 80, 80, 80, 80, 80
), Per_Minorities = c(100, 100, 100, 100, 100, 100, 88, NA,
NA, 88, 88, 88, 40, 40, 40, 40, NA, NA, 28, 28, 28, NA, NA,
NA, 28, 84, 33, 33, 33, 67, 67, 67, 30, 30, 30, 37, 37, 37,
NA, NA, NA, NA, 84, 97, 97, 97, 97, 80, 80, 80, 75, 75, 75,
39, 39, 49, 49, 49, 49, 49, 49), Per_Conduct_disorder = c(52,
NA, NA, 52, 52, 52, 77, NA, NA, 77, 77, 77, NA, NA, NA, NA,
NA, NA, 29, 29, 29, 29, 29, 84, 29, 43, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 39, 39, 39, 39,
50, 50, 50, 50, 69, 69, 69, 53, 53, NA, NA, NA, NA, NA, NA
), Per_Severe_cannabis_users = c(48, 100, 0, 48, 48, 48,
70, 100, 0, 70, 70, 70, 48, 48, 48, 48, 100, 0, 51, 51, 51,
100, 0, 57, 51, 33, 57, 100, 0, 33, 100, 0, 55, 100, 0, 65,
100, 0, 100, 0, 100, 0, 2, 2, 2, 2, 21, NA, NA, NA, NA, NA,
NA, NA, NA, 1, 1, 1, 1, 1, 1), Outcome_measure = c("Substance abuse",
"Substance abuse", "Substance abuse", "Delinquency", "Externalizing",
"Internalizing", "Substance abuse", "Substance abuse", "Substance abuse",
"Delinquency", "Externalizing", "Internalizing", "Externalizing",
"Internalizing", "Family", "Substance abuse", "Substance abuse",
"Substance abuse", "Externalizing", "Internalizing", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Delinquency", "Delinquency", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Substance abuse",
"Substance abuse", "Substance abuse", "Family", "Substance abuse",
"Delinquency", "Internalizing", "Substance abuse", "Substance abuse",
"Externalizing", "Internalizing", "Substance abuse", "Externalizing",
"Internalizing", "Substance abuse", "Substance abuse", "Substance abuse",
"Externalizing", "Family", "Substance abuse", "Externalizing",
"Family"), d = c(0.05, 0.09, 0.01, 0.14, 0.21, 0.24, 0.05,
0.29, -0.62, 0.13, 0.2, 0.11, 0.05, 0.1, 0.18, 0.25, 0.35,
0.11, 0.25, 0.42, 0.14, 0.41, -0.04, 1.16, 0, 0.3, 0.14,
-0.19, 0.38, 0, 0.28, -0.21, 0.51, 0.7, 0.26, 0.65, 0.53,
0.83, 0.51, 0.33, 0.23, -0.34, 0.44, 1.07, 0.31, 0.54, 0.59,
0.47, 0.56, 0.76, 0.47, 0.62, 0.74, -0.06, -0.26, 0.25, -0.1,
0.61, 0.85, 0.35, 0.31), v = c(0.0357368385452267, 0.075075,
0.0692959636221316, 0.035813177830941, 0.035922552830941,
0.0359828206880838, 0.0354120644531683, 0.0515658702122788,
0.127081512605042, 0.0354757812673276, 0.0355779936567081,
0.0354545423292745, 0.00892143958212216, 0.00892977291545549,
0.00895466180434438, 0.00898810624878882, 0.0172696360623208,
0.0188181002978587, 0.0369870339480431, 0.0375095110122633,
0.0367902449572174, 0.0828498311688312, 0.076164519626979,
0.128302831402831, 0.0367003367003367, 0.0262706153495627,
0.0422858350496704, 0.0766269963702359, 0.0972346253229974,
0.0666666666666667, 0.210293333333333, 0.101561351010101,
0.0344263451653237, 0.0643181818181818, 0.0748017501017501,
0.0701875, 0.10623286099865, 0.207311471861472, 0.0918228063241107,
0.022780646351152, 0.080529, 0.039031536896326, 0.0494220790137293,
0.0551528019052956, 0.048834729616139, 0.0500124404595125,
0.0186341517857143, 0.0304546781245192, 0.0307954869480486,
0.0317660751833427, 0.0806272247360483, 0.0822301659125188,
0.0838301659125189, 0.020009, 0.020169, 0.0310059973737535,
0.0308333000053325, 0.0320244184263851, 0.0331770500053325,
0.0312033657948062, 0.031116523689543)), row.names = c(NA,
-61L), class = "data.frame")
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