Open AccessMCA techniques on health awareness among the Bodo women of Udalguri District, Assam
Author(s) -
Prasanta Kumar Saikia,
Barnali Gogoi
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns3.5715
Subject(s) - variables , variable (mathematics) , context (archaeology) , population , psychology , mental health , statistics , demography , geography , mathematics , medicine , environmental health , sociology , psychiatry , mathematical analysis , archaeology
According to WHO report, “Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infinity”,[1]. Consequently further developing health status of everything is a piece of population control program. Besides health status can improve or fall apart dependent on the attitudes and activities taken towards health. In demographic analysis, we come across some interesting problems which involve simultaneous consideration of several predictor variables to study their relationships with a dependent variable. Sometimes we are interested to know how well all the variables taken together explain variation in the dependent variable and also how each predictor variable is related to the dependent variable. In this paper, an endeavor has been made to examine the health status among the respondents of Bodo women of Udalguri District, Assam using "Multiple Classification Analysis, MCA". In fact, MCA is a technique for examining the inter-relationship between several predictor variables and dependent variables within the context of additive model. It may be easily explained as multiple regressions with dummy variables and ‘adjusted derivatives’ along with ‘unadjusted effects’.