gloss                package:metahdep                R Documentation

_g_l_o_s_s:  _D_a_t_a _f_r_o_m _t_h_e _J_E_B_S _g_l_o_s_s_i_n_g _p_a_p_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     This includes the following four objects:

                       
       'gloss.Table1'  a data.frame containing the contents of Table 1 in the paper
                       (sample sizes, sample means, sample SDs, and covariate information from each study)
       'gloss.X'       a matrix representing the design matrix X for the meta-analysis in the paper
       'gloss.theta'   a vector, representing the effect size estimates as summarized in Table 3 of the paper
       'gloss.V'       a matrix, representing the covariance matrix of effect size estimates, including
                       sampling dependence in off-diagonal elements, as summarized in Table 3 of paper

_U_s_a_g_e:

     data(gloss)

_F_o_r_m_a_t:

     This object contains the four objects described above.

_D_e_t_a_i_l_s:

     This data set summarizes 13 experiments with 18 study reports, all
     involving the effect of native-language (L1) vocabulary aids on
     second language (L2) reading comprehension. Some experiments
     produced multiple study reports, creating a dependence structure
     among the resulting effect size estimates.

     The intended use for these data is to demonstrate the methods
     coded in the _metahdep_ package.

_R_e_f_e_r_e_n_c_e_s:

     Stevens J.R. and Taylor A.M. Hierarchical Dependence in
     Meta-Analysis. To appear, Journal of Educational and Behavioral
     Statistics.

_E_x_a_m_p_l_e_s:

     data(gloss)
     # Look at Table 1
     gloss.Table1

