USING ADJUSTED MULTIPLE CORRESPONDENCE ANALYSIS TO EXPLORE LATENT VARIABLES FOR THE DEMPOL-Q

Abstract

Abstract Nursing home administrators are responsible to operationalize dementia-specific person-centred care into their care practice, e.g. by internal policies. To assess the degree of existence of internal policies on person-centred care for dementia-specific care in German nursing homes, we developed the Dementia Policy Questionnaire (DemPol-Q). After pretesting, the instrument consists of 19 dichotomous items. We aimed to explore the construct validity of the DemPol-Q. We used a secondary data set of a national survey with a representative sample of 134 nursing homes. For data analysis we conducted an Adjusted Multiple Correspondence Analysis. Results show that nine items of the DemPol-Q were significantly assigned to two latent variables. Since the items per latent variable vary in their content, they cannot be explicit denominated with a specific sub-dimension of dementia-specific person-centred care. Nonetheless, Adjusted Multiple Correspondence Analysis is an uncommon but appropriate exploratory data reduction procedure for nursing science.