TR-Dizin İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/396
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Article Citation - WoS: 1Re-Visiting Ambivalent Sexism Inventory (ASI): Construct Validity of Benevolent Sexism and Measurement Invariance of ASI(Istanbul Univ, Fac Letters, dept Psychology, 2022-04-06) Aktan, Timucin; Yalcindag, BilgeThe ambivalent sexism theory states that sexism comprises hostile and benevolent beliefs and that benevolent sexism is a second-order factor consisting of protective paternalism, complementary gender differentiation and heterosexual intimacy. The subdimensions of benevolent sexism toward women have recently piqued people's interest. The Turkish version of the ambivalent sexism inventory's (ASI's) construct validity should be reexamined in light of this apparent interest in contemporary studies. Accordingly, in the current study, the aim is to test the preferred structural model in which protective sexism was defined as a second-order factor consisting of protective patriarchy, complementary differentiation between genders and heterosexual intimacy. Moreover, measurement invariance analysis will be used to test the stability of the scale's structure in different samples. The data of 1803 participants from different studies conducted between 2009 and 2019 (1194 women and 593 men, 16 unidentified) were merged. Findings of the confirmatory factor analyses indicated that the four-factor solution (i.e. hostile sexism and three subfactors of benevolence) fitted the data better than the other models (i.e. one-factor and two-factor models, and the preferred structural model). Explanatory factor analysis via exploratory structural equation modeling revealed a two-factor solution composed of benevolence and hostility, but the findings also underlined two psychometrically weak items. Finally, measurement invariance analyses demonstrated full invariance between private and public university samples, and an invariance between women and men samples except for sample means. Only the means of the samples differed in the women-men comparison, but in a theoretically predicted way, and men had higher scores in all subscales except for complementary gender differentiation. In sum, our findings provided significant support for the construct validity and measurement invariance of ASI while raising questions about the theoretical construct measured and the items needed to be revised.Article Citation - WoS: 1Citation - Scopus: 1Prediction of Preference and Effect of Music on Preference: A Preliminary Study on Electroencephalography from Young Women(Tubitak Scientific & Technological Research Council Turkey, 2019-03-01) Yilmaz, Bulent; Gazeloglu, Cengiz; Altindis, FatihNeuromarketing is the application of the neuroscientific approaches to analyze and understand economically relevant behavior. In this study, the effect of loud and rhythmic music in a sample neuromarketing setup is investigated. The second aim was to develop an approach in the prediction of preference using only brain signals. In this work, 19-channel EEG signals were recorded and two experimental paradigms were implemented: no music/silence and rhythmic, loud music using a headphone, while viewing women shoes. For each 10-sec epoch, normalized power spectral density (PSD) of EEG data for six frequency bands was estimated using the Burg method. The effect of music was investigated by comparing the mean differences between music and no music groups using independent two-sample t-test. In the preference prediction part sequential forward selection, k-nearest neighbors (k-NN) and the support vector machines (SVM), and 5-fold cross-validation approaches were used. It is found that music did not affect like decision in any of the power bands, on the contrary, music affected dislike decisions for all bands with no exceptions. Furthermore, the accuracies obtained in preference prediction study were between 77.5 and 82.5% for k-NN and SVM techniques. The results of the study showed the feasibility of using EEG signals in the investigation of the music effect on purchasing behavior and the prediction of preference of an individual.