data/Kalaian96.R

In mikewlcheung/metasem: Meta-Analysis using Structural Equation Modeling

Kalaian96 <-
structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 
8L, 19L, 20L, 21L, 28L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 
39L, 40L, 41L, 42L, 43L, 47L, 9L, 10L, 11L, 16L, 22L, 27L, 45L, 
12L, 13L, 14L, 15L, 17L, 18L, 23L, 24L, 25L, 26L, 29L, 30L, 44L, 
46L), .Label = c("Alderman & Powers (A)", "Alderman & Powers (B)", 
"Alderman & Powers (C)", "Alderman & Powers (D)", "Alderman & Powers (E)", 
"Alderman & Powers (F)", "Alderman & Powers (G)", "Alderman & Powers (H)", 
"Burke (A)", "Burke (B)", "Coffin", "Curran (A)", "Curran (B)", 
"Curran (C)", "Curran (D)", "Davis", "Dear", "Dyer", "Evans & Pike (A)", 
"Evans & Pike (B)", "Evans & Pike (C)", "Frankel", "French (A)", 
"French (B)", "FTC", "Keefauver", "Kintisch", "Laschewer", "Lass", 
"Reynolds & Oberman", "Roberts & Oppenheim (A)", "Roberts & Oppenheim (B)", 
"Roberts & Oppenheim (D)", "Roberts & Oppenheim (E)", "Roberts & Oppenheim (F)", 
"Roberts & Oppenheim (G)", "Roberts & Oppenheim (H)", "Roberts & Oppenheim (I)", 
"Roberts & Oppenheim (J)", "Roberts & Oppenheim (K)", "Roberts & Oppenheim (L)", 
"Roberts & Oppenheim (M)", "Roberts & Oppenheim (N)", "Teague", 
"Whitla", "Zuman (A)", "Zuman (B)"), class = "factor"), Year = c(1980L, 
1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1973L, 1973L, 
1973L, 1986L, 1966L, 1966L, 1966L, 1966L, 1966L, 1966L, 1966L, 
1966L, 1966L, 1966L, 1966L, 1966L, 1966L, 1988L, 1986L, 1986L, 
1987L, 1985L, 1960L, 1979L, 1962L, 1988L, 1988L, 1988L, 1988L, 
1958L, 1953L, 1955L, 1955L, 1978L, 1976L, 1961L, 1987L, 1992L, 
1988L), n_e = c(28L, 39L, 22L, 48L, 25L, 37L, 24L, 16L, 145L, 
72L, 71L, 13L, 43L, 19L, 16L, 20L, 39L, 38L, 18L, 19L, 37L, 19L, 
17L, 20L, 20L, 16L, 25L, 25L, 8L, 22L, 45L, 38L, 52L, 21L, 24L, 
20L, 20L, 60L, 225L, 110L, 161L, 192L, 16L, 38L, 93L, 10L, 21L
), n_c = c(22L, 40L, 17L, 43L, 74L, 35L, 70L, 19L, 129L, 129L, 
129L, 14L, 37L, 13L, 11L, 12L, 28L, 25L, 13L, 13L, 22L, 11L, 
13L, 12L, 13L, 17L, 25L, 25L, 8L, 21L, 45L, 38L, 52L, 17L, 17L, 
17L, 17L, 526L, 193L, 158L, 158L, 684L, 25L, 82L, 47L, 15L, 34L
), dSAT_V = c(0.22, 0.09, 0.14, 0.14, -0.01, 0.14, 0.18, 0.01, 
0.13, 0.25, 0.31, 0, 0.01, 0.67, -0.38, -0.24, 0.29, NA, NA, 
NA, NA, NA, NA, NA, NA, 0.13, 0.5, 0.74, -0.23, 0.13, 0.13, 0.06, 
0.09, -0.1, -0.14, -0.16, -0.07, -0.02, 0.06, 0.06, NA, 0.15, 
0.17, 0.02, -0.04, 0.4, 0.54), dSAT_M = c(NA, NA, NA, NA, NA, 
NA, NA, NA, 0.12, 0.06, 0.09, 0.07, NA, NA, NA, NA, NA, 0.26, 
-0.41, 0.08, 0.3, -0.53, 0.13, 0.26, 0.47, 0.48, NA, NA, 0.33, 
0.13, 0.34, NA, -0.11, -0.08, -0.29, -0.34, -0.06, 0.21, 0.17, 
NA, 0.2, 0.03, -0.19, 0.1, 0.6, NA, 0.57), var_V = c(0.0816528311688312, 
0.0506922914638104, 0.104529356917592, 0.044196839594514, 0.0535140185640186, 
0.0557345667095667, 0.0561247213779129, 0.115133007518797, 0.0146793291246924, 
0.0217962995102009, 0.0220766950267496, 0.148351648351648, 0.0502834659805154, 
0.136568718370445, 0.156083164983165, 0.134233333333333, 0.0619829232956099, 
NA, NA, NA, NA, NA, NA, NA, NA, 0.121579590017825, 0.0825, 0.085476, 
0.251653125, 0.0932701047015, 0.0445383333333333, 0.0526552631578947, 
0.0385004807692308, 0.106574155978181, 0.100729220468675, 0.109169475357711, 
0.108889745627981, 0.0185681486480056, 0.00963009781479921, 0.0154267394328702, 
NA, 0.00668316410318032, 0.10285243902439, 0.0385125780915704, 
0.0320349982024381, 0.169866666666667, 0.0796817214158391), cov_VM = c(NA, 
NA, NA, NA, NA, NA, NA, NA, 0.00968437159309994, 0.0143044006618072, 
0.0144521594096548, 0.0979120879120879, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, 0.0806171582117647, NA, NA, 0.16363619085, 
0.0615415640425249, 0.0294745258133333, NA, 0.0253572479769231, 
0.0703126263140203, 0.0666082205727403, 0.0722462262333863, 0.0718561640928458, 
0.0122526923001752, 0.0063600379051359, NA, NA, 0.00440388914371545, 
0.0674235092487805, 0.0254219931404365, 0.0210900423564663, NA, 
0.0524492682944538), var_M = c(NA, NA, NA, NA, NA, NA, NA, NA, 
0.0146747670808968, 0.0216497820972656, 0.0218566950267496, 0.148442389092389, 
NA, NA, NA, NA, NA, 0.0668522974101921, 0.135189922801213, 0.129654655870445, 
0.0732442843459793, 0.148222336523126, 0.136028273001508, 0.134389583333333, 
0.130270046620047, 0.124814438502674, NA, NA, 0.253403125, 0.0932701047015, 
0.0450866666666667, NA, 0.0385197115384615, 0.106526787557128, 
0.101515805834529, 0.110385691573927, 0.108872178060413, 0.0186054353374254, 
0.00966036097269394, NA, 0.0126029899730391, 0.00667083533605704, 
0.102940243902439, 0.0385525780915704, 0.0333149982024381, NA, 
0.0799844486885663), Hr = c(7, 10, 10.5, 10, 6, 5, 11, 45, 21, 
21, 21, 8.9, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 
7.5, 7.5, 7.5, 24, 50, 50, 18, 15, 30, 20, 10, 6, 6, 6, 6, 15, 
15, 4.5, 15, 40, 14, NA, 63, 18, 27), ETS = c(1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 
0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L), Study_type = c("Randomized", 
"Randomized", "Randomized", "Randomized", "Randomized", "Randomized", 
"Randomized", "Randomized", "Randomized", "Randomized", "Randomized", 
"Randomized", "Randomized", "Randomized", "Randomized", "Randomized", 
"Randomized", "Randomized", "Randomized", "Randomized", "Randomized", 
"Randomized", "Randomized", "Randomized", "Randomized", "Randomized", 
"Matched", "Matched", "Matched", "Matched", "Matched", "Matched", 
"Matched", "Nonequivalent comparison", "Nonequivalent comparison", 
"Nonequivalent comparison", "Nonequivalent comparison", "Nonequivalent comparison", 
"Nonequivalent comparison", "Nonequivalent comparison", "Nonequivalent comparison", 
"Nonequivalent comparison", "Nonequivalent comparison", "Nonequivalent comparison", 
"Nonequivalent comparison", "Nonequivalent comparison", "Nonequivalent comparison"
), Home_work = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 
1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 
1L, 1L, 0L, 1L)), class = "data.frame", row.names = c(NA, -47L
))