Grade correspondence analysis applied to contingency tables and questionnaire data

摘要

An alternative approach methodology for Correspondence Analysis is presented. This approach, called Grade Correspondence Analysis (GCA), utilizes Spearman's rho to detect underlying associations and trends. Two examples are Presented using: (1) a contingency table (heuer's suicide data) with cause of death, gender, and age; and (2) a survey Questionnaire (data matrix) concerning employment, personal economics, computer skills, and disability level of handicapped Computer specialists in Poland. GCA uses a search strategy (multi-starts/random starts) to detect rends (not forced to be Orthogonal) among rows and columns.