pylspm.py 文件源码

def alpha(self):
        # Cronbach Alpha
        alpha = pd.DataFrame(0, index=np.arange(1), columns=self.latent)

        for i in range(self.lenlatent):
            block = self.data_[self.Variables['measurement']
                               [self.Variables['latent'] == self.latent[i]]]
            p = len(block.columns)

            if(p != 1):
                p_ = len(block)
                correction = np.sqrt((p_ - 1) / p_)
                soma = np.var(np.sum(block, axis=1))
                cor_ = pd.DataFrame.corr(block)

                denominador = soma * correction**2
                numerador = 2 * np.sum(np.tril(cor_) - np.diag(np.diag(cor_)))

                alpha_ = (numerador / denominador) * (p / (p - 1))
                alpha[self.latent[i]] = alpha_
            else:
                alpha[self.latent[i]] = 1

        return alpha.T