Mother s Occupational Status Univariate Statistics Critique of an Article Using Logistic Regression
... Mother’s occupational status and children’s schooling. ... The general purpose of this research was to discern how the occupational status of mothers had effected the education success of children over time, from children born in the early 1900’s to those born in 1964, as well as general influence of mother’s occupation on child educational achievement overall as compared to the influence of fathers. These issues were address with more specific conditions, evaluating status of type of work of the mothers as compared to mothers who were unemployed, and looking at the three stages of child education success: attainment of high school diplomas, entry into college, and attainment of a bachelor’s degree. ... The study design was correlational, using archival data to find relationships between variables. ... The dependent variables in this study were children’s success in school: whether they did or did not graduate from high school, did or did not enter college, and did or did not attain a B. ... The independent variables included father’s education, mother’s education, respondent’s year of birth, father’s occupation, mother’s occupation, whether the mother was employed outside of the home or not, and number of siblings. The father’s education level was measured in years of school completed (1-17), as was the mother’s. ... Mother’s occupation was measures on a socioeconomic index based on type of job and level of professionalism of the last job that the mother held before the child turned 18, coded . ... Father’s occupation was also scaled by socioeconomic status of the work, based on occupation the father held when the child was 16 and coded 0-9. The variable of whether or not the mother was employed was based on the time between when the child was born and they turned 18, coded 0 for no and 1 for yes. ... The author used logistic regression models to find the odds of the three dependent variables occurring, given the effects of the various levels of independent and dependent variables. Thus, the logistic regression models were used to find the odds of the respondents completing high school, entering college, and getting a B. ... The author also used descriptives to gather information on changes in mother’s occupation status, comparing mothers of children born before 1920 and those born in 1964 and later for both all families and two-parent families. The author used eight different logistic regression models in an attempt to control for and combine specific variables to attain the odds for specific combinations and interactions.