Examination of the psychometric properties of the children’s loneliness scale for students with and without special needs in inclusive classrooms*

Early detection of loneliness in children, especially children with special needs who are at greater risk for loneliness, is crucial for planning appropriate interventions. A review of studies regarding the assessment of loneliness in children reveals the Children’s Loneliness Scale (CLS) is commonly used in other cultures whereas information about the use of CLS in Turkish culture, especially on children with special needs, is very limited. This study investigates the psychometric properties of CLS on a group of 4th and 5th graders with and without special needs in inclusive classrooms. The study group consists of 554 typically developing students and 151 students with special needs, a total of 705 students whose ages range from 9 to 13. Exploratory factor analysis (EFA) was conducted to examine the construct validity of the CLS and revealed that the scale has a unidimensional structure. The validity of this unidimensional construct was confirmed using confirmatory factor analysis (CFA). Discriminant validity of the CLS was examined using the criterion group method and a significant difference was found between the loneliness scores of students with special needs and those without special needs. Internal consistency and test-retest reliability analyses were conducted in order to determine the reliability of the CLS. Results showed that the CLS has high internal reliability and provides stability in measurements. In general, the findings of this study indicated that the CLS is a valid and reliable instrument for assessing the loneliness levels of students with and without special needs attending 4th and 5th grade inclusive classrooms. © 2015 EDAM

Muhsin Ertuğrul

Taha Toros Arşivi, Dosya No: 99-Muhsin Ertuğrulİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Bir vapur geçer Boğaziçi'nden...

Taha Toros Arşivi, Dosya Adı: İstanbul Boğaziçi Resimleriİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Electromagnetic compatibility engineering education: problems, challenges and perspectives

Education and training problems and challenges in EMC Engineering are discussed. The necessity of physics-based modeling (theory) and hands-on training (practice) are emphasized. An introductory level EMC lecture and a short course outline are given for modern EMC education

Pretreatment methods for producing bioethanol from biomass

Biyoetanol, tüm dünyada kullanılan yenilenebilir bir enerji kaynağıdır. Biyoetanol hem tek başına hem de benzinle çeşitli oranlarda karıştırılarak kullanılmaktadır. Yenilenebilir enerji kaynağı olarak lignoselülozik biyokütlenin kullanılması, etanol üretiminde büyük bir öneme sahiptir. Biyoetanol üretiminde gıda maddelerinin kullanılması gıda fiyatlarında yükselmeye ve bazı sosyolojik problemlere neden olacaktır. Bu nedenle gıda maddelerinden elde edilen birinci nesil biyoetanol üretiminin yerini alacak, benzin fiyatlarıyla rekabet edebilecek ikinci nesil biyoetanol üretiminin gerçekleştirilmesi gerekmektedir. Lignoselülozik hammadde kompleks selüloz, hemiselüloz ve lignin yapılarını içerir. Bu kompleks yapıların basit şeker bileşiklerine parçalanması gerekmektedir. Ancak bu şekilde daha basit ve kullanılabilir şeker bileşikleri elde edilebilir. Fermente edilebilir şekerlerin hızlı ve etkili bir şekilde hidrolize edilebilmesi için ön hazırlık işlemlerine ihtiyaç vardır. Ön hazırlık işlemleri fiziksel, fiziko kimyasal, kimyasal ve biyolojik yöntemler olmak üzere gruplandırılmaktadır. Ön işlemden geçen biyokütle, daha kolay biyolojik olarak parçalanmakta ve enzimlerin hammaddeye erişebilirliği artmaktadır. Seçilen ön hazırlık işlemlerinin çevre dostu, ucuz, etkili ve basit olması büyük önem taşımaktadır.Bioethanol is a renewable energy resource used in the whole world. Bioethanol can be used by itself or mixing with oil in different rates. Utilizing lignocellulose biomass as a renewable energy resource has a significant role on producing ethanol. Using food materials for producing bioethanol will cause increasing in food prices and some social problems. Because of this reason, we need to realize on producing second generation of bioethanol, which can replace the first-generation bioethanol produced from food materials and compete with oil prices. Lignocelluloses raw materials consist of complex cellulose, hemicelluloses and lignin structures. These complex structures must be divided into simple sugar elements. There is a need for pretreatment methods for hydrolyzing fermented sugar in a fast and effective way. Pretreatment processes can be grouped as physical, physicochemical, chemical and biological methods. The biomass after pretreatment can be easily divided as biologically and thus, access of enzymes to raw materials accelerates. It is a significantly important matter for the selected pretreatment methods to be cheap, simple, effective and environmentally safe

Propagation modeling and path loss prediction tools for high frequency surface wave radars

Propagation modeling and simulation approaches for the use of High Frequency Surface Wave Radar (HFSWR) are discussed. HFSWR uses vertically polarized surface waves along multi-mixed paths in the lower HF band (3 MHz - 15 MHz). Various numerical propagators are reviewed with an early analytical model. Split Step Fast Fourier Transformation, finite- difference, and finite-element solutions of the well-known one-way, forward propagation Parabolic Equation (PE) model are presented. MATLAB-based numerical propagation prediction tools based on these models are listed. Tests and comparisons among these analytical and numerical tools are given for some canonical surface wave propagation scenarios. The Millington effect for both smooth and irregular terrain paths, which contain land-sea and sea-land transitions, is also discussed

Feature diversity for optimized human micro-doppler classification using multistatic radar

This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time, polarisation, and frequency band. Two sets of experimental data collected with the multistatic radar system NetRAD are analysed for two separate problems, namely the classification of unarmed vs potentially armed multiple personnel, and the personnel recognition of individuals based on walking gait. The results show that the overall classification accuracy can be significantly improved by taking into account feature diversity at each radar node depending on the environmental parameters and target behaviour, in comparison with the conventional approach of selecting the same features for all nodes

Bir kent kitaplığında...

Taha Toros Arşivi, Dosya No: 111-Kütüphanelerİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033