In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting can be used for several purposes. Sample design weights can be used to adjust the differences in selection probabilities for non-self weighting sample designs. Sample design weights, adjusted for nonresponse and noncoverage through the sequential data weighting process. The unequal selection probability designs represented the complex sampling designs. Among many reasons of weighting, the most important reasons are weighting for unequal probability of selection, compensation for nonresponse, and post-stratification. Many highly efficient estimation methods in survey sampling require strong information about auxiliary variables, x. The most common estimation methods using auxiliary information in estimation stage are regression and ratio estimator. This paper proposes a sequential data weighting procedure for the estimators of combined ratio mean in complex sample surveys and general variance estimation for the population ratio mean. To illustrate the utility of the proposed estimator, Turkish Demographic and Health Survey 2003 real life data is used. It is shown that the use of auxiliary information on weights can considerably improve the efficiency of the estimates.

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Although the concept of privacy is as old as human history, it has attracted attention as a social need in recent years. An important issue regarding child protection is privacy. This research was carried out to determine the awareness and knowledge of children’s parents on awareness of child privacy right. A total of 107 students’ parents, registered in preschool, consisted of the sample of the study. This research was descriptive research. To determine the relationships between categorical variables, chi-square analysis was used as the statistical methods of the research. Total of 29% of parents stated that they always asked permission from their children to enter their room, 80.4% never took off their children’s clothes nearby someone else, 83.2% never preferred clothes older than their children’s age, 69.2% never showed affection for child’s private parts, 54.2% they never loved their children by battering him/her (biting, squeezing, etc.). It was found that parents with boys preferred more clothes older than their age for their children compared to parents with girls, and the rate of waiting in the toilet with their children decreased as the age of their children increased. It was determined that as the education level of the mothers of the children increased, they entered the children’s room with permission. It was observed that as the education level of fathers increased, they preferred clothes older than their age significantly less for their children and working mothers did not wait in the toilet with their children. Parents’ awareness of privacy can contribute to their awareness of abuse. Overall, this study provided evidence that parents’ awareness of privacy may have universal characteristics as well as aspects specific to sociocultural context.

The study aims to investigate the effect of the macroeconomic factors of inflation, public size, investment, openness, and labour market regulations, and the effect of demographic factors of population size on unemployment dimensions. The unemployment dimensions of total unemployment, youth unemployment, female unemployment, educated unemployment and long-term unemployment dimensions were handled in this study. Panel data analysis was applied based on panel data of study variables of OECD member countries for the period of 2010-2018. The aim of the study was tried to be executed by panel regression analysis, which is one of the panel data analyses. As a result of the panel regression analysis, it was determined that openness, public size, investment, inflation, labour market regulations and the population had a statistically significant effect on all dimensions of unemployment.

Health indicators are used for analyzing the health status of the population and tracking the improvement and deterioration in health conditions. Health indicators contribute to the examination of the conditions of countries in terms of health. It is a guide in determining the health policies to be followed in the future and in deciding what developments should be provided in the field of health. The aim of the study is to classify the member countries of The Organisation for Economic Co-operation and Development (OECD) according to the health indicators. The aim of the study is to determine the place of Turkey which is one of the founding members of OECD in this classification and to make evaluations. Data on health indicators were taken from the World Bank and World Health Organization database. The health indicator measures of Turkey by years were compiled from the World Bank and the OECD database. Cluster analysis, one of the multivariate statistical analysis methods, was used in the classification of countries. Seven clusters were taken in the study. In the first cluster the US, in the second cluster Turkey, in the third cluster Mexico, in the fourth cluster Lithuania, in the fifth cluster Korea and Japan, in the sixth cluster Colombia and in the seventh cluster the other OECD member countries were classified. Turkey as a developing country compared to developed countries was determined as insufficient in the context of capita health expenditure per capita, healthy life expectancy, the lifetime risk of maternal death, neonatal death rate, the number of medical doctors, nurses, midwives, and beds. According to these indicators, it is understood that in Turkey remedial policies in the health sector should be monitored.