Exam                 package:mlmRev                 R Documentation

_E_x_a_m _s_c_o_r_e_s _f_r_o_m _i_n_n_e_r _L_o_n_d_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Exam scores of 4,059 students from 65 schools in Inner London.

_U_s_a_g_e:

     data(Exam)

_F_o_r_m_a_t:

     A data frame with 4059 observations on the following 9 variables.

     _s_c_h_o_o_l School ID - a factor.

     _n_o_r_m_e_x_a_m Normalized exam score.

     _s_c_h_g_e_n_d School gender - a factor.  Levels are 'mixed', 'boys', and
          'girls'.

     _s_c_h_a_v_g School average of intake score.

     _v_r Student level Verbal Reasoning (VR) score band at intake - a
          factor.  Levels are 'bottom 25%', 'mid 50%', and 'top 25%'.

     _i_n_t_a_k_e Band of student's intake score - a factor. Levels are
          'bottom 25%', 'mid 50%' and 'top 25%'./

     _s_t_a_n_d_L_R_T Standardised LR test score.

     _s_e_x Sex of the student - levels are 'F' and 'M'.

     _t_y_p_e School type - levels are 'Mxd' and 'Sngl'.

     _s_t_u_d_e_n_t Student id (within school) - a factor

_S_o_u_r_c_e:

     <URL: http://multilevel.ioe.ac.uk/softrev/exam.html>

_R_e_f_e_r_e_n_c_e_s:

     Goldstein, H., Rasbash, J., et al (1993). A multilevel analysis of
     school examination results. _Oxford Review of Education_ 19:
     425-433

_E_x_a_m_p_l_e_s:

     str(Exam)
     summary(Exam)
     (fm1 <- lmer(normexam ~ standLRT + sex + schgend + (1|school), Exam))
     (fm2 <- lmer(normexam ~ standLRT*sex + schgend + (1|school), Exam))
     (fm3 <- lmer(normexam ~ standLRT*sex + schgend + (1|school), Exam))

