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The purpose of this study is to explore the factors which affect the family functions. Participants of this study consisted of married employees with children at the Hacettepe University in Ankara, Turkey. The sample size is determined using a random sampling method (n = 551). In this research, family functioning style scale, support functions scale, and family needs scale developed by Dunst, Trivette and Deal (1988) used as well as the socio-economic data such as age, gender, level of education, number of children, and the income level. The majority (64.6%) of the sample was men, 35.4% were women. The ages of the participants ranged from 23-65 years (M = 39.76 years, SD =6.98). More than half of were college or more degree (57.0%) and 43.0% had high school or less graduates. Results of means comparisons showed significant differences on the family functioning style by working hours and working status. Regression analysis results suggested significant relationships exist among emotional support and agency support and family functioning style when controlling for socioeconomic variables.

An individual’s attitude toward financial risk tolerance (FRT) is an important preference that influences financial decision-making under uncertainty. FRT involves inter-temporal resource allocation. Accurate and reliable measures of FRT are essential for professionals advising consumers as well as researchers who are trying to predict, and understand consumer behavior. This study explores cross-cultural risk tolerance by comparing random samples from Turkey, and the United States. Similar and distinctive attitudes and patterns regarding FRT are identified. Three subjective measures of FRT are employed in this study: Grable and Lytton (1999), Hanna, Gutter and Fan’s (2001) improved version of Barsky, Juster, Kimball and Shapiro (1997), and the Survey of Consumer Finance’s item on risk tolerance. Data was collected via an online survey that used the above-mentioned FRT measures. There were two versions: the original American English version, and a culturally translated Turkish version. To explore the correlation of FRT among measures, we use bivariate analysis by individually employing Pearson Chi-square test of independence, and cross tabulations analysis to each sample. In addition, by pooling both samples, we conduct cumulative logistic regression. We delineate FRT differences and consistencies between countries across subjective financial risk tolerance measures.

An individual’s attitude toward financial risk tolerance (FRT) is an important preference that influences financial decision-making under uncertainty. FRT involves inter-temporal resource allocation. Accurate and reliable measures of FRT are essential for professionals advising consumers as well as researchers who are trying to predict, and understand consumer behavior. This study explores cross-cultural risk tolerance by comparing random samples from Turkey, and the United States. Similar and distinctive attitudes and patterns regarding FRT are identified. Three subjective measures of FRT are employed in this study: Grable and Lytton (1999), Hanna, Gutter and Fan’s (2001) improved version of Barsky, Juster, Kimball and Shapiro (1997), and the Survey of Consumer Finance’s item on risk tolerance. Data was collected via an online survey that used the above-mentioned FRT measures. There were two versions: the original American English version, and a culturally translated Turkish version. To explore the correlation of FRT among measures, we use bivariate analysis by individually employing Pearson Chi-square test of independence, and cross tabulations analysis to each sample. In addition, by pooling both samples, we conduct cumulative logistic regression. We delineate FRT differences and consistencies between countries across subjective financial risk tolerance measures.

The purpose of this study is to explore the factors which affect the family functions. Participants of this study consisted of married employees with children at the Hacettepe University in Ankara, Turkey. The sample size is determined using a random sampling method (n = 551). In this research, family functioning style scale, support functions scale, and family needs scale developed by Dunst, Trivette and Deal (1988) used as well as the socio-economic data such as age, gender, level of education, number of children, and the income level. The majority (64.6%) of the sample was men, 35.4% were women. The ages of the participants ranged from 23-65 years (M = 39.76 years, SD =6.98). More than half of were college or more degree (57.0%) and 43.0% had high school or less graduates. Results of means comparisons showed significant differences on the family functioning style by working hours and working status. Regression analysis results suggested significant relationships exist among emotional support and agency support and family functioning style when controlling for socioeconomic variables.