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            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>İletişim Kuram ve Araştırma Dergisi</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2147-4524</issn>
                                                                                            <publisher>
                    <publisher-name>Ankara Hacı Bayram Veli University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.47998/ikad.1350214</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Communication Studies</subject>
                                                            <subject>Communication Technology and Digital Media Studies</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>İletişim Çalışmaları</subject>
                                                            <subject>İletişim Teknolojisi ve Dijital Medya Çalışmaları</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Akıllı Telefondan Düşünümsel Bağ Koparma Ölçeği:  Uyarlama, Geçerlik ve Güvenirlik Çalışması</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="en">
                                    <trans-title>Reflective Smartphone Disengagement Scale:  Scale Adaptation, Validity and Reliability</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-0838-8455</contrib-id>
                                                                <name>
                                    <surname>Akarsu</surname>
                                    <given-names>Haluk</given-names>
                                </name>
                                                                    <aff>ANADOLU ÜNİVERSİTESİ, İLETİŞİM BİLİMLERİ FAKÜLTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-1824-4076</contrib-id>
                                                                <name>
                                    <surname>Çınar</surname>
                                    <given-names>Naim</given-names>
                                </name>
                                                                    <aff>ANADOLU ÜNİVERSİTESİ, İLETİŞİM BİLİMLERİ FAKÜLTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20231223">
                    <day>12</day>
                    <month>23</month>
                    <year>2023</year>
                </pub-date>
                                                    <issue>65</issue>
                                        <fpage>179</fpage>
                                        <lpage>198</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20230825">
                        <day>08</day>
                        <month>25</month>
                        <year>2023</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20231114">
                        <day>11</day>
                        <month>14</month>
                        <year>2023</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 1983, İletişim Kuram ve Araştırma Dergisi</copyright-statement>
                    <copyright-year>1983</copyright-year>
                    <copyright-holder>İletişim Kuram ve Araştırma Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Bu çalışma Matthes, Karsay, Hirsch, Stevic ve Schmuck (2022) tarafından geliştirilen ve Reflective Smartphone Disengagement Scale olarak adlandırılan ölçeğin Türkçeye uyarlanmasını, uyarlanan ölçeğin geçerlik ve güvenirliğini sınamayı amaçlamıştır. Bu amaç doğrultusunda çalışmada öncelikle çeviri ve geri çeviri süreçleri yürütülmüş olup uzman paneli gerçekleştirilmiştir. Devamında 18-40 yaş aralığında yer alan kişilerden oluşan üç araştırma kümesinden farklı zamanlarda veri toplanarak açımlayıcı faktör analizi (N=354), doğrulayıcı faktör analizi, geçerlik ve güvenirlik analizleri (N=413) ve test-tekrar test güvenirliğine (N=55) yönelik işlemler gerçekleştirilmiştir. Yapılan analizler sonucunda 6 madde ve tek faktörden oluşan Likert tipi orijinal ölçek, 4 madde ve tek faktör olacak şekilde Türkçeye uyarlanmış ve Akıllı Telefondan Düşünümsel Bağ Koparma Ölçeği şeklinde adlandırılarak alanyazına kazandırılmıştır. Ölçeğin açıkladığı toplam varyans %55.941 iken ölçek maddelerinin standardize edilmiş faktör yükleri .517 ile .798 arasında değişmektedir. Ayrıca ölçekteki en düşük R2 değeri .267, ölçeğin Cronbach’s alpha katsayısı (α) .737’dir. Yapılan doğrulayıcı faktör analizi sonucunda ise ölçeğin uyum indekslerinin tamamının oldukça “iyi değerlere” sahip olduğu görülmüştür (CFI=.994, TLI=.982, NNFI=.982, IFI=.994, RMSEA=.050, SRMR=.020, GFI=.995). Tüm bu bulgular ve çalışma içerisinde gerçekleştirilen diğer analizler sonucunda Türkçeye uyarlanan ölçeğin geçerli ve güvenilir olduğu araştırmacılar tarafından ortaya konmuştur.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="en">
                            <p>This study aims to adapt Matthes, Karsay, Hirsch, Stevic and Schmuck’s (2022), Reflective Smartphone Disengagement (RSD) Scale to Turkish, and test the validity and reliability of the adapted version. The concept of RSD, developed in the original article, is defined as individuals’ deliberate efforts to control and restrict smartphone use. The unidimensional RSD scale aims to measure this concept. In the first step of our scale adaptation study, we translated and back-translated the scale items and conducted an expert panel. Subsequently, we collected data at different times from three sample groups consisting of people aged 18-40, and conducted exploratory factor analysis (N=354), confirmatory factor analysis, validity and reliability analysis (N=413), and test-retest reliability (N=55). Based on the analysis, we adapted the original unidimensional, 6-item Likert-type RSD scale to Turkish, as a 4-item unidimensional scale. The total variance explained is 55.941% and the standardized factor loadings vary between .517 and .798. The lowest R2 value of the scale is .267 and the Cronbach’s alpha coefficient (α) of the scale is .737. The results of the confirmatory factor analysis show that the fit indices also have good fit (CFI=.994, TLI=.982, NNFI=.982, IFI=.994, RMSEA=.050, SRMR=.020, GFI=.995). All the findings provide support for the validity and reliability of the adapted version of the RSD scale.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Ölçek Uyarlama</kwd>
                                                    <kwd>  Akıllı Telefon Kullanımı</kwd>
                                                    <kwd>  Geçerlik</kwd>
                                                    <kwd>  Güvenirlik</kwd>
                                                    <kwd>  Düşünümsel Bağ Koparma</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="en">
                                                    <kwd>Scale Adaptation</kwd>
                                                    <kwd>  Use of Smartphone</kwd>
                                                    <kwd>  Validity</kwd>
                                                    <kwd>  Reliability</kwd>
                                                    <kwd>  Reflective Disengagement</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
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