Longitudinal Data Analysis Essay Example | Topics and Well Written Essays - 3500 words

Longitudinal Data Analysis - Essay Example Since, the data is of longitudinal nature therefore it would be appropriate to use weighted data for adjusting unweighted data over the period of consideration. Weighting of individual data has been made for non-response of individuals within households i.e. same individuals were missing to participate in later waves of data collection. Individuals’ response data weights have been collected for 12 years from a variable – xLRWGHT included in the data set. Selection of Variables In order to study the relationship between educational qualifications and income levels of individuals the following variables have been identified and selected from BHPS dataset. Dependent Variable: The dependent variable selected for the study is the financial position of individuals. The associated variable from the dataset is ‘xfisit’ from BHPS dataset for 12 waves of data collected. Independent Variable (Covariate): The independent variable selected for the study is the highest e ducation qualification. The associated variable from the dataset is ‘xiqfedhi’ from BHPS dataset for 12 waves of data collected. Fixed Variable: The analysis is performed on the basis of ethnic background of individuals. For this purpose, variable ‘arace’ has been selected which is described as ethnic group membership. There are nine subsets under this variable including White, Black-Carib, Black-African, Black-Others, Indian, Pakistani, Chinese, Bangladeshi, and Other Ethnic Groups. Hypotheses Establishment: In this study the relationship between education qualifications and financial position of individuals over a period of 12 years is investigated for testing out the following research hypothesis: H0: There is... The independent variable selected for the study is the highest education qualification. The associated variable from the dataset is ‘xiqfedhi’ from BHPS dataset for 12 waves of data collected. Fixed Variable: The analysis is performed on the basis of ethnic background of individuals. For this purpose, variable ‘arace’ has been selected which is described as ethnic group membership. There are nine subsets under this variable including White, Black-Carib, Black-African, Black-Others, Indian, Pakistani, Chinese, Bangladeshi, and Other Ethnic Groups. Hypotheses Establishment: In this study the relationship between education qualifications and financial position of individuals over a period of 12 years is investigated for testing out the following research hypothesis: H0: There is no significant relationship between educational qualifications and financial position amongst individuals from different ethnic backgrounds. H1: There is a significant relation between educational qualifications and financial position individuals from different ethnic backgrounds. Methodology: The methodology that has been adopted for the current study is aimed at providing a detailed examination of the data that has been collected through BHSP for providing vital information regarding education qualifications and financial position recorded amongst individuals belonging to different ethnic backgrounds. This is carried out using Explore and Cross Tab options available in SPSS for descriptive statistics.