The purpose of the study was to examine the effect of sex role orientation on the amount of time spent in meal preparation and cleanup, clothing care, and indoor cleaning accomplished by husbands and wives in couple-headed households in the U.S.. The overall research hypotheses examined were : (1) there is a relationship between demographic and socioeconomic characteristics of the husband and wife and the sex role orientation of the husband and wife; (2) for both husbands and wives, there is a relationship between sex role orientation and the amount of household production time that is accomplised by each individual; and (3) the relationship between sex role orientation and the amount of household production time remains when demographic and socioeconomic factors are controlled. The 1981 data from the 1975-1981 Time Use Longitudinal Panel Study collected at the University of Michigan were used for this study. The major findings is that a relationship between sex role orientation and the amount of time spent in three household production activities was not found, when all independent variables were controlled. That is, sex activities was not found, when all independent variables were controlled. That is, sex role orientation was not a predictor affecting the amount of time that husbands and wives spend on meal preparation and cleanup, clothing care, and indoor cleaning.
The purposes of this study were to explore amount of time use for paid work house work, child caring and leisure spent by adults and to explain its influencing factors. Tobit model was used to analyze the factors of time use because the amount of time use was a limited continuous variable. The results of this study were as follows: 1) Amount of time spent for paid work per day by adults was found to be 349 min. for men and 185 min. for women. Amount of time spent for house work was found to be 19min. for men and 155 min. for women. Amount of time spent for child caring was found to be 5min. for men and 40 min. for women. Amount of time spent for leisure was found to be 285 min. for men and 266 min. for women. 2) Time use for paid work was found to be significantly influenced by householder, age, time limit and paid worker for men and householder, time limit and paid worker for women. Time use for house work was found to be significantly influenced by age, time limit and paid worker for men and householder, age, marital status and paid worker for women. Time use for child caring was found to be significantly influenced by presence of kids and marital status for men and house, presence of kids, marital status and paid worker for women. Finally, Time use for leisure was found to be significantly influenced by car, time limit and paid worker for men and house, presence of kids, marital status, time limit and paid worker for women.
The purposes of this study were to explore amount of time use for house work, leisure and extracurricular lesson used by adolescents and to explain its influencing factors. Tobit model was used to analyze the factors of time use because amount of time use was a limited continuous variable. The results of this study were as follows: 1) Amount of time used for house work per day by adolescents was found to be 36min. for weekdays and 64 min. for holidays. Amount of time used for passive leisure per day by adolescents was found to be 203min. for weekdays and 375 min. for holidays. Amount of time used for active leisure per day by adolescents was found to be 74 min. for weekdays and 194 min. for holidays. Amount of time used for extracurricular lesson per day by adolescents was found to be 96min. for weekdays and 36 min. for holidays. 2) Time use for house work was found to be significantly influenced by education status, education level of mother, job status of mother for weekdays and gender, education level of mother, job status of mother, household income for holidays. Time use for passive leisure was found to be significantly influenced by education status, small children at home for weekdays and gender, education status for holidays. Time use for active leisure was found to be significantly influenced by gender, education status for holidays, while there was no influencing factors for weekdays. Finally, time use for extracurricular lesson was found to be significantly influenced by gender, education status, household income for weekdays, and age, education level of mother for holidays.
The objective of this study was to investigate the time used for daily activities by rural housewives. This study was carried out two aspects-the amount and the distribution of time. However, the characteristics of agriculture and the farming season influenced on rural housewives activities. There fore, in this study, survey areas divided into two groups-the traditional and the commercial agricultural area. And I conducted surveys in two times-the busy farming season and the leisure season for farmers. Data for 286 housewives(76 in traditional area on the leisure season, and 68 in commercial 142 in traditional area on the busy farming season)were collected by interviews, in which wives were asked to recall the used of time on the previous day, and a time record chart broken into fifteen minute intervals. The statistics for data analysis were frequency, percentile, T-test, and F-test by SPSS PC programs. The findings are as follows; 1)The average total time of rural housewives on labour was 8 hours 53 minutes, on socio-cultural activities 4 hours 18 minutes, and on physiological activities 11 hours 2 minutes. 2) The amount of time on agricultural labour was 6 hours 47 minutes in busy farming season, and 2 hour 45 minutes in leisure season. 3) The average time on household labour was 3 hours 51 minutes. 4) The amount of time on socioculture activities was 2 hours 19 minutes in busy farming, and 6 hours 16 minutes in leisure season. 5) The average time on physiological activities was 11 hours 2 minutes.
Purpose: This study aimed to identify the directionality of the causal relationship and interaction between depression and amount of smoking over time in hardcore smokers using longitudinal descriptive analysis. Methods: Secondary data from the Korean Welfare Panel Study were analyzed using autoregressive cross-lagged modeling. Participants included 342 hardcore smokers who participated in the 8th to 11th waves of the panel study. Results: Analyses revealed that change(s) in depression levels according to time had a significant positive relationship with the total amount of smoking per day (${\beta}=.29$, ${\beta}=.19$, ${\beta}=.17$, p<.001), while change(s) in total amount of smoking per day according to time had a significant positive relationship with depression (${\beta}=.43$, ${\beta}=.50$, ${\beta}=.38$, p<.001). Analysis of the cross-lagged effect between depression and total amount of smoking per day showed that depression at one time point had a significantly positive relationship with the total amount of smoking per day at the next time point (${\beta}=.14$, ${\beta}=.13$, ${\beta}=.13$, p=.021), and that the total amount of smoking per day at one time point had a significant positive relationship with depression at the next time point (${\beta}=.04$, ${\beta}=.04$, ${\beta}=.03$, p=.044). Conclusion: The findings in the present study confirmed a cross-interaction between depression and total amount of smoking per day in hardcore smokers. The present findings could be used to develop appropriate smoking-related interventions.
This study investigated the impact of the amount of time online on cyberbullying perpetration of middle school students as well as examined if the justice sensitivity (victim sensitivity and penetrator sensitivity) moderated the relationship between the amount of time online and cyberbullying perpetration. The participants in this study were 236 students (120 boys and 116 girls) from two middle schools located in Seoul and Incheon. The levels of cyberbullying perpetration and justice sensitivity were measured by scales developed by Campfield (2008) and Schmitt et al. (2010), respectively. The participants were also asked to report on how much time they spent online a day. The data were analyzed via descriptive statistics, hierarchical regression, and procedures mentioned by Baron and Kenny (1986). The results revealed that the more the students used the Internet, the more likely they were to become a cyberbullying perpetrator. However, such a tendency was observed only for the students who had a higher level of victim sensitivity, and not for those with a lower level of victim sensitivity. This suggested that victim sensitivity moderated the effect of the amount of time spent on the Internet on cyberbullying perpetration; but, penetrator sensitivity had no moderating effect.
Work environments have been changed with the advent of new technologies, such as computer technology. However, human cognitive limits can't pace up with the change of work environment. Designing human-computer system requires knowledge and evaluation of the human cognitive processes which control information flow workload. Futhermore, under limited reaction time and/or urgent situation, human operator may the work stress, work error and resultant deleterious work environment. This paper evaluate the visual factors of major information processing factors(information density, amount of information, operational speed of speed)on operator performance of supervisory control under urgent(limited reaction time)environments which require deleterious work condition. To describe the work performance int the urgent work situations with time stress and dynamic event occurrence, a new concept of information density was introduced. For a series of experiments performed for this study, three independent variables(information amount, system proceeding speed, information density) were evaluated using five dependent variables. The result of statistical analyses indicate that the amount of information affected on all of five dependent measure. Number of failure and number of secondary task score were influenced by both amount of information and operational speed of system. However reaction time of secondary task were affected by both amount of information and information density. As a result, the deleterious factors for the performances seemed to be a scanning time to supervise each control panel. Consequently, a new display panel was suggest to reduce operator work load for scanning task showing better operator performance.
In this paper, it is examined how the amount of review time per applicant to a college admission officer system is connected with the performance of the selected students after they enter the college. About five years ago, college admission officers system has been introduced to Korea as a government policy. Thus, for most Korean college, there is not enough number of admission officers, while it takes substantial time to find out whether an applicant has potential ability or not. Thus, it is required to find out some policy alternatives to solve this discrepancy. In this paper, a simulation model is built using System Dynamics theory and simulated to understand the relation between the amount of review time and the performance of the selected students. Finally, some implications and policy suggestions are derived from the simulation results.
An experiment was carried out using pots to investigate the effects of Chinese milk vetch on the seedling establishment and growth in rice. Four irrigations with five-day intervals and three different levels of vetch straw were investigated. Significantly higher panicle numbers were obtained in vetch-treated pots. Vetch levels were non-treatment as checks, vetch with top removed, root plus shoot 7.5 ton/ha, and root plus shoot 3.0 ton/ha. The time for complete degradation of vetch straws was reduced from 10 days to 5 days as submerged time was delayed, and was affected by the amount of mulched vetch straws. As the mulched vetch amount increased, the time for a complete degradation was extended from 4 days to 12 days. Grain yield and its components were significantly affected by irrigation time and mulched vetch amount. Effectively controlled, lowered reduction damage from the degrading vetch straw, irrigation date and vetch amount were the most important factors for the improving of seedling establishment in direct-sown rice.
Currently, the method of loading items in the warehouse, the worker directly decides the loading location, and the most used method is to load the product at the location closest to the entrance. This can be effective when there is no difference in the required amount for goods, but when there is a difference in the required amount for goods, it is inefficient because items with a small required amount are loaded near the entrance and occupy the corresponding space for a long time. Therefore, in order to minimize the release time of goods, it is essential to select an appropriate location when loading goods. In this study, a method for determining the loading location by predicting the required amount of goods was studied to select the optimal loading location. Deep learning based bidirectional long-term memory networks (Bi-LSTM) was used to predict the required amount for goods. This study compares and analyzes the release time of goods in the conventional method of loading close to the entrance and in the loading method using the required amount for goods using the Bi-LSTM model.
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