Online gaming addiction and basic psychological needs among adolescents: the mediating roles of meaning in life and responsibility

Individuals whose basic needs are naturally satisfied are much less dependent on their environment and more autonomous. Basic psychological needs (i.e., the general motivators of human actions) are significant predictors of online gaming addiction. Moreover, it has been posited that meaning and responsibility in life are at the center of life from an existential point of view. Therefore, a hypothetical model was tested to examine the relationships between basic psychological needs (autonomy, competence, relatedness), online gaming addiction, responsibility, and meaning in life. Data were collected from a sample of 546 participants. Mediation analysis was conducted, and the results indicated that basic psychological needs, online gaming addiction, responsibility, and meaning in life had significant negative and positive relationships. The findings indicated that responsibility and meaning in life had a serial mediating effect in the relationship between basic psychological needs and online gaming addiction. The findings also showed that the inverse relationship between online gaming addiction and basic psychological needs was at least partially explained by meaning in life and responsibility. The results of the present study are of great importance and suggest that interventions to satisfy the basic psychological needs of adolescents may help prevent online gaming addiction

Interviewer allocation through interview-reinterview nested design for response error estimation in sample surveys

In surveys, non-sampling errors, due to their complex nature, are more challenging to quantify compared to sampling errors. Avoiding the release of these errors, however, results in biased survey estimates. In our previous paper, we devised the best interviewer allocation technique by using a nested experimental design to study response error estimation. In this study, in order to illustrate the effectiveness of this methodology in a different context, we apply it in interview-reinterview surveys relating to the time use and life satisfaction of academicians at Middle East Technical University, Turkey. An analysis of the pilot survey data showed that only half of the data was reliable, while the other half revealed interviewer effects. Prior to the main survey, interviewers underwent training in the course of which particular emphasis was put on the above-mentioned questions. In effect, the previously observed response variances which accounted for the total variance and data unreliability, were reduced considerably, increasing the quality of the main survey

Comparison of missing value imputation methods for Turkish monthly total precipitation data

Climate related studies are required complete time series data to be used. On the other hand, considerable number of observations is missing in meteo- rological time series due to several reasons. This con°icting problem, however, can be overcame by imputing missing values using observations of correlated nearby climate stations. The main aim of this study, therefore, is to compare the performances of six di®erent methods for imputing monthly total precipi- tation series obtained from stations located in two di®erent climate regions of TДurkiye. These include Single Arithmetic Average (SAA), Normal Ratio (NR), NR Weighted with Correlations (NRWC), Multi Layer Perceptron type Neural Network (MLPNN) and Expectation-Maximization Algorithm based on Monte Carlo Markov Chain (EMMCMC). In addition, we propose a modiЇcation in the EMMCMC method which uses the results of di®erent imputation methods as reference series. Results show that both EMMCMC methods perform better than the other imputation methods considered in the study

Comparison of missing value imputation methods for Turkish monthly total precipitation data

Climate related studies are required complete time series data to be used. On the other hand, considerable number of observations is missing in meteo- rological time series due to several reasons. This con°icting problem, however, can be overcame by imputing missing values using observations of correlated nearby climate stations. The main aim of this study, therefore, is to compare the performances of six di®erent methods for imputing monthly total precipi- tation series obtained from stations located in two di®erent climate regions of TДurkiye. These include Single Arithmetic Average (SAA), Normal Ratio (NR), NR Weighted with Correlations (NRWC), Multi Layer Perceptron type Neural Network (MLPNN) and Expectation-Maximization Algorithm based on Monte Carlo Markov Chain (EMMCMC). In addition, we propose a modiЇcation in the EMMCMC method which uses the results of di®erent imputation methods as reference series. Results show that both EMMCMC methods perform better than the other imputation methods considered in the study

Effect of IVF failure on quality of life and emotional status in infertile couples.

OBJECTIVE: To investigate the effect of a previous IVF failure on the quality of life and emotional distress, in couples undergoing IVF treatment. Experiencing IVF failure might cause differences on the anxiety-depression and quality of life scores of the couples, compared to the ones who were undergoing IVF treatment for the first time. STUDY DESIGN: This study included 64 couples who had previously experienced at least one IVF failure (Group 1) and 56 couples without history of IVF failure (Group 2) in a private Assisted Reproductive Center, Istanbul, Turkey. A sociodemographic data form, the FertiQoL International and Hospital Anxiety (HAD-A) and Depression scale (HAD-D) for evaluating the status of distress, were administered for the study. RESULT(S): FertiQoL scores were compared between the groups, the environment scale of the quality of life in treatment section was found to be significantly higher in Group 1 compared with Group 2 (p=0.009). The HAD-A and HAD-D scores did not differ significantly between the groups. Group-variables were investigated using multilevel analysis, the infertility duration and income level were found to have an effect on the subscales of quality of life (p=0.009 and p=0.001 respectively) in Group 2. Depression scores were higher in couples with infertility duration of below five years in Group 1 and Group 2 compared to couples with infertility duration of five years or above (MANOVA analysis). The level of education was found to affect the scores of HAD-D in Group 2, but not in Group 1 (p=0.011). The score of HAD-D was significantly affected by the family type only in Group 2 (p=0.009); the depression score of the couples living with a nuclear family was found to be higher compared with the couples living in a traditional family (p=0.021). CONCLUSION(S): Fertility-specific quality of life scores reveals better results regarding the orientation to the treatment environment in the couples with a previous IVF failure, compared to first IVF cycle couples. Treatment failure does not elevate the level of anxiety, while the effect on depression scores changes according to duration of infertility