data/Aloe14.R

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

Aloe14 <-
structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 6L, 
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L), .Label = c("Betoret", 
"Brouwers & Tomic", "Bumen", "Chang", "Durr", "Evers et al.", 
"Friedman", "Gold", "Huk", "Kress", "Kumarakulasingam", "Martin et al.", 
"Ozdemir", "Skaalvik and Skaalvik", "Williams"), class = "factor"), 
    Year = c(2009L, 2000L, 2010L, 2009L, 2008L, 2002L, 2004L, 
    2003L, 1985L, 2011L, 2007L, 2002L, 2012L, 2007L, 2007L, 2012L
    ), EE = c(-0.38, -0.4, -0.31, -0.32, -0.47, -0.26, -0.3, 
    -0.15, -0.08, -0.08, 0, -0.22, -0.24, -0.42, -0.35, -0.26
    ), DP = c(-0.32, -0.39, -0.34, -0.41, -0.54, -0.31, -0.33, 
    -0.33, -0.1, -0.11, -0.2, -0.3, -0.4, -0.46, -0.34, -0.26
    ), PA = c(0.62, 0.56, 0.48, 0.41, 0.71, 0.39, 0.56, 0.23, 
    0.12, 0.06, 0.23, 0.56, 0.49, 0.62, 0.37, 0.4), V_EE = c(0.0016, 
    0.0013, 0.0014, 0.0021, 0.0061, 0.0093, 0.002, 0.0045, 0.0019, 
    0.0136, 0.0143, 0.0058, 0.0016, 0.002, 0.0042, 0.0048), V_DP = c(0.0018, 
    9e-04, 0.0014, 0.0019, 0.0063, 0.0067, 0.0013, 0.0045, 0.0015, 
    0.0118, 0.0102, 0.0066, 0.001, 0.002, 0.0049, 0.004), V_PA = c(0.0011, 
    8e-04, 0.0012, 0.0019, 0.0041, 0.0066, 0.001, 0.0048, 0.0016, 
    0.0107, 0.0087, 0.0049, 7e-04, 0.0015, 0.0047, 0.0033), C_EE_DP = c(5e-04, 
    6e-04, 7e-04, 9e-04, 0.0032, 0.0028, 7e-04, 0.0011, 0.001, 
    0.0062, 0.0081, 0.0029, 9e-04, 5e-04, 0.0014, 0.0021), C_EE_PA = c(-2e-04, 
    -4e-04, -3e-04, -0.001, -0.001, -0.0015, -4e-04, -0.0018, 
    -5e-04, -0.0041, -0.002, -7e-04, -3e-04, -2e-04, -0.0011, 
    -7e-04), C_DP_PA = c(-3e-04, -4e-04, -4e-04, -0.0011, -0.0012, 
    -0.0045, -6e-04, -0.0014, -7e-04, -0.0051, -0.0026, -0.001, 
    -4e-04, -3e-04, -0.0013, -9e-04), Publication_type = structure(c(2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L
    ), .Label = c("Dissertation", "Journal"), class = "factor"), 
    Percentage_females = c(0.7, 0.26, 0.69, 0.79, 0.82, 0.23, 
    0.22, 0.86, 0.81, NA, 0.83, 1, 0.79, 0.66, 0.6, 0.68), Years_experience = c(10.08, 
    21.25, 18.14, 2.58, 2.71, 22.14, NA, 12.9, NA, 12.39, NA, 
    13.3, 13.3, 13.77, 14, NA)), .Names = c("Study", "Year", 
"EE", "DP", "PA", "V_EE", "V_DP", "V_PA", "C_EE_DP", "C_EE_PA", 
"C_DP_PA", "Publication_type", "Percentage_females", "Years_experience"
), class = "data.frame", row.names = c(NA, -16L))