meanrho                 package:irr                 R Documentation

_M_e_a_n _o_f _b_i_v_a_r_i_a_t_e _r_a_n_k _c_o_r_r_e_l_a_t_i_o_n_s _b_e_t_w_e_e_n _r_a_t_e_r_s

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

     Computes the mean of bivariate Spearman's rho rank correlations
     between raters as an index of the interrater reliability of
     ordinal data.

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

     meanrho(ratings, fisher = TRUE)

_A_r_g_u_m_e_n_t_s:

 ratings: n*m matrix or dataframe, n subjects m raters.

  fisher: a logical indicating whether the correlation coefficients
          should be Fisher z-standardized before averaging.

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

     Missing data are omitted in a listwise way. 
     The mean of bivariate rank correlations should not be used as an
     index of interrater reliability when ties within raters occur. 
     The null hypothesis r=0 could only be tested when Fisher
     z-standardized values are used for the averaging. 
     When computing Fisher z-standardized values, perfect correlations
     are omitted before averaging because z equals +/-Inf in that case.

_V_a_l_u_e:

     A list with class '"irrlist"' containing the following components: 

 $method: a character string describing the method applied for the
          computation of interrater reliability.

$subjects: the number of subjects examined.

 $raters: the number of raters.

$irr.name: a character string specifying the name of the coefficient.

  $value: coefficient of interrater reliability.

$stat.name: a character string specifying the name of the corresponding
          test statistic.

$statistic: the value of the test statistic.

$p.value: the p-value for the test.

  $error: a character specifying whether correlations were dropped
          before the computation of the Fisher z-standardized average.
          Additionally, a warning message is created if ties were found
          within raters.

_A_u_t_h_o_r(_s):

     Matthias Gamer

_S_e_e _A_l_s_o:

     'cor' 'kendall'

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

     data(anxiety)
     meanrho(anxiety, TRUE)

