Selected variables as predictors of retirement readiness of older employed women Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/n296x203f

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  • The purpose of this study was to gather and interpret data in order to contribute to a better understanding of older employed women as they prepare for the transition from the paid workforce to retirement. Selected descriptive variables were measured to determine their relationship to retirement readiness in a sample of employed women aged 40 years and older. Retirement readiness, the dependent variable in this study, was conceptualized as the level of vocational maturity demonstrated in the early phases of the retirement process, the period preceding the retirement event. Data from 191 respondents were gathered in a mail survey of randomly selected members of the Oregon Public Employees Union. Fifteen sets of descriptive data were selected to represent the six independent variables: Age, Educational level, Economic status, Family status, Employment history, and Proximity to retirement. The three subscales of the Retirement Preparation Index (RPI), Information about retirement, Attitudes about aging and retirement, and Behaviors related to retirement planning, were used to measure retirement readiness. Data analysis addressed two research questions. The first question asked which of the 15 descriptive variables could predict scores on each of the subscales of the RPI. Three univariate stepwise regression analyses were conducted. Accounting for 17% of the variance in the information scores were Age, Family Definition, and Length of Current Commitment to Paid Employment, respectively. While none of the descriptors proved statistically significant in predicting attitudes scores, two economic measures, Family Income and Percentage of Family Income contributed by Respondent, were the most significant, together accounting for 6% of the variance. Educational Level combined with Proximity to Retirement accounted for 16% of the variance in scores on the behaviors scale. The second research question asked how the three subscales of the RPI were related to one another in the sample population. All three pairs of relationships were positively correlated at the P <.0001 level, with the strongest correlation (r = .5682) between Information and Behaviors.
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