scholarly journals Development and Psychometric Validation of the Sexual Fantasies and Behaviors Inventory

2021 ◽  
Author(s):  
Ashley Brown ◽  
Edward D. Barker ◽  
Qazi Rahman
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Dark Triad ◽  
Psychometric Validation ◽  
General Factor ◽  
Sexual Fantasies ◽  
Equation Modelling ◽  
And Behaviors ◽  
And Behavior

To date, no measures of sexual fantasies and behavior have been tested using modern structural equation modelling techniques. A total of 4,280 adults from the US, UK, Canada, and Ireland completed a measure of diverse (paraphilic and normophilic) sexual fantasies and behaviors. Data were randomly split in half for a two-part analysis. First, an exploratory factor analysis (EFA) was performed to reduce the item pool and determine general factor structure. Second, we tested several models using confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM). These were followed by tests of measurement invariance (based on sex and sexual orientation) and criterion validity. For both the fantasies and behaviors, Bifactor ESEMs were the most appropriate models. Similar specific factors emerged: 1) normophilia, 2) rough sex, 3) interest of intrusion, 4) assuming power, and 5) relinquishing power. Findings suggest that sexual interests show a hierarchical measurement structure. Males and non-heterosexuals had higher general fantasy scores; females and non-heterosexuals had higher general behavior scores. Heterosexuals generally scored lower than non-heterosexuals. Fantasy and behavior scores were positively related to Dark Triad Traits and sociosexuality; there was little to no relationship with depression and anxiety. Results support the psychometric validation of the Sexual Fantasies and Behaviors Inventory.

scholarly journals MICE tourism development- Examination from the supply side in Dalat City, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Le Thai Son
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Supply Side ◽  
Policy Makers ◽  
Factors Affecting ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Main Factors

The research attempted to examine resource factors affecting the development of MICE at Dalat, by determining the stakeholders, and by interviewing 350 resources (means from the supply side). The methods of Cronbach’s Alpha, Exploratory Factor Anaalysis (EFA), Confirmatory Factor Analysis (CFA) together the Structural Equation Modelling (SEM) were used by the programs of SPSS and AMOS.The result shows that MICE development is affected by MICE destination resources, then MICE destination resources is affected by 3 main factors, arranged by the importance decreasing: (1) Organization resources; (2) MICE tourist resources; (3) Supplier resources. From that, the research raises some solutions for management and policy makers to develop MICE better.

scholarly journals Driving locus of control: The Czech adaptation

2021 ◽  
Vol 65 (1) ◽  
pp. 86-100
Author(s):  
Vít Gabrhel ◽  
◽  
Stanislav Ježek ◽  
Petr Zámečník
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Factor Model ◽  
One Dimensional ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
The One

Objectives. This study attempts to introduce the Driving Locus of Control (DLoC), a method focused on the internal or external source of attribution of the driving behaviour, to the Czech context. This study also relates DLoC to attitudes towards autonomous vehicles (AVs). Participants and setting. Out of the general population, 59 inquirers personally interviewed (CAPI) 1 065 respondents (49% women) in the age range between 15 and 92 years (M = 50, SD = 17). The respondents were sampled via multistage random sampling procedure, based on the list of addresses in the Czech Republic. Hypotheses. The authors hypothesised to replicate the original two-factor structure of the DLoC Scale and that the higher levels of internal DLoC result in not considering the improvement in traffic safety as the AVs replace human drivers. Statistical analysis. Confirmatory factor analysis was used to analyse the factor structure of DLoC Scale. Hypotheses related to the empirical validity of the method were assessed via structural equation modelling. The reliability of DLoC Scale was calculated in terms of internal consistency (McDonald coefficient). Results. Confirmatory factor analysis revealed reasonably good support for structural validity of the one-dimensional DLoC-CZ15 factor model (χ2 = 426.967, df = 90, CFI = 0.964, TLI = 0.958, SRMR = 0.066, RMSEA = 0.065). In addition, the one-dimensional DLoC-CZ15 factor model showed acceptable internal consistency - ω = 0.9 (95% CI [0.89, 0.91]). The structural equation modelling found a relationship between DLoC and some of the items capturing attitudes towards AVs, too. Study limitations. The analysed data were obtained via interviews between respondents and inquirers. As a result, the study does not contain indicators of empirical validity measured by a methodologically different approach, such as an observation of driving behaviour.

Examining the Effects of Controlling for Shared Variance among the Dark Triad Using Meta–Analytic Structural Equation Modelling

2018 ◽  
Vol 32 (1) ◽  
pp. 46-61 ◽  
Author(s):  
Colin E. Vize ◽  
Katherine L. Collison ◽  
Joshua D. Miller ◽  
Donald R. Lynam ◽  
Mitja Back
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Research Literature ◽  
Dark Triad ◽  
Future Research ◽  
Personality Psychology ◽  
Residual Content ◽  
Equation Modelling ◽  
Recent Developments ◽  
The Impact

Multivariate procedures (e.g. structural equation modelling) are essential to personality psychology, but interpretive difficulties can arise when examining the relations between residualized variables (i.e. the residual content of a variable after its overlap with other variables has been statistically controlled for) and outcomes of interest. These issues have been the focus of recent debate within the research literature on the Dark Triad, which is a collection of interrelated but theoretically distinct personality constructs made up of narcissism, Machiavellianism and psychopathy. The present paper highlights previous work on the issue of partialling and also makes use of recent developments surrounding meta–analytic structural equation modelling to reliably assess the impact of partialling on the empirical profiles of the Dark Triad components. The results show that numerous interpretive difficulties arise after partialling the overlap among the Dark Triad components, most notably for narcissism and Machiavellianism. The results are discussed in the context of contemporary Dark Triad research in addition to discussing the implications for structural equation modelling methods in personality psychology more generally. Recommendations are made for how future research can mitigate the interpretive difficulties that may arise from partialling. Copyright © 2018 European Association of Personality Psychology

scholarly journals PENGGUNAAN ANALISIS STRUCTURAL EQUATION MODELLING (SEM) SECOND ORDER DALAM MENGIDENTIFIKASI PENGARUH KECERDASAN EMOSIONAL DAN INTELEKTUAL TERHADAP PRESTASI BELAJAR

2012 ◽  
Vol 4 (2) ◽  
pp. 37-49
Author(s):  
Anik Anekawati
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Second Order ◽  
Equation Modelling ◽  
Confirmatory Factor

Kecerdasan emosional dan kecerdasan intelektual mempunyai peranan yang sangat penting dalam upaya peningkatan kualitas hasil belajar. Salah satu diantara mereka tidak boleh ada yang dimarginalkan. Tujuan penelitian ini adalah mengidentifikasi indikator-indikator apa saja yang dapat digunakan untuk mengukur kecerdasan emosional dan kecerdasan intelektual, serta bagaimana pengaruh kecerdasan emosional dan kecerdasan intelektual terhadap prestasi belajar. Teknik analisis statistika yang dipakai adalah Structural Equation Modelling Second Order. Pengukuran kecerdasan emosional menggunakan Confirmatory Factor Analysis (CFA) Second Order karena kecerdasan emosional mempunyai lima dimensi, dimana masing-masing dimensi memiliki beberapa indikator, sehingga dilakukan pengujian CFA dua kali. Data yang digunakan dalam penelitian ini merupakan data primer dan sekunder dengan jumlah sampel sebanyak 184. Karena asumsi normalitas multivariat tidak terpenuhi, maka dilakukan estimasi dengan menggunakan prosedur bootstrap. Hasil analisis menunjukkan bahwa model struktural yang dikembangkan berdasarkan teori dalam mengidentifikasi pengaruh kecerdasan emosional dan kecerdasan intelektual terhadap prestasi belajar adalah sesuai dengan studi kasus untuk siswa SMA/MA di Kabupaten Sumenep daratan (diluar di kepulauan). Dari kelima dimensi, hanya dimensi Memotivasi Diri Sendiri yang bisa digunakan untuk mengukur variabel Kecerdasan Emosioanal, sehingga variabel kecerdasan emosional tidak berpengaruh secara nyata terhadap prestasi belajar. Kecerdasan intelektual berpengaruh secara nyata terhadap prestasi belajar siswa sebesar 0,387.

scholarly journals Mengembangkan instrumen pengukuran kekerasan komunikasi pada kelompok WhatsApp di lingkungan kerja dosen

2019 ◽  
Vol 7 (2) ◽  
pp. 238
Author(s):  
Ira Mirawati ◽  
Asep Suryana ◽  
Herlina Agustin ◽  
Mien Hidayat
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Random Sampling ◽  
Structural Equation ◽  
Stratified Random Sampling ◽  
Affective Events Theory ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Affective Events

Berkembang pesatnya media sosial telah memberikan ruang bagi para penggunanya untuk melakukan sekaligus mendapatkan kekerasan komunikasi. Kekerasan komunikasi melalui media sosial dapat terjadi pada berbagai kalangan, termasuk di lingkungan kerja dosen. Perilaku ini terjadi baik disengaja ataupun tidak, serta hadir dalam beragam bentuk bukan semata-mata pesan yang berisi caci maki, kebencian, atau perendahan. Pengalaman kekerasan komunikasi di tempat kerja, baik sebagai pengirim maupun penerima, dapat memiliki konsekuensi bagi emosi dan perilaku kerja seseorang. Berkaitan dengan itu, penelitian ini bertujuan untuk mengembangkan sebuah instrumen pengukuran kekerasan komunikasi yang dialami dosen termasuk emosi yang dirasakan dan perilaku kerja yang dapat dipengaruhinya. Pengembangan instrumen dilakukan dengan mengelaborasi komponen-komponen kekerasan komunikasi, emosi, dan perilaku kerja dengan Affective Events Theory. Pengujian instrumen dilakukan terhadap sampel penelitian yang diambil dengan menggunakan teknik stratified random sampling terhadap dosen perguruan tinggi di kota Bandung. Hasil penelitian menunjukkan terdapat 3 dimensi yang terdiri dari 22 pertanyaan pada variabel kekerasan komunikasi, 2 dimensi yang terdiri dari 14 pertanyaan pada variabel emosi, dan 8 dimensi yang terdiri dari 25 pertanyaan pada variabel perilaku kerja dosen yang valid untuk diukur. Simpulannya adalah bahwa instrument yang dikembangkan pada penelitian ini dapat digunakan dalam penelitian yang mengukur pengaruh kekerasan komunikasi di lingkungan kerja dosen. Penelitian dengan instrumen ini disarankan menggunakan structural equation modelling dengan confirmatory factor analysis.

scholarly journals Scale Development, Validation and Use of Structural Equation Modelling to Test the Impact of Consumer Confidence and Persuasibility on Dissonance

2016 ◽  
Vol 8 (1(J)) ◽  
pp. 58-68
Author(s):  
Sanjana Brijball Parumasur ◽  
Nabendra Parumasur
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Motor Vehicle ◽  
Model Fit ◽  
Consumer Confidence ◽  
Equation Modelling ◽  
Kwazulu Natal ◽  
The Impact ◽  
The Relationship

This study develops and validates a scale to assess the impact of consumer confidence and persuasibility on dissonance and applies the instrument to high-end consumers. It also assesses the relationship between consumer confidence and persuasibility as these constructs merge to influence dissonance. A sample of 200 new motor vehicle buyers who purchased from a leading and reputable motor vehicle company in KwaZulu-Natal, South Africa, was drawn using stratified random sampling based on range of motor vehicle (bottom, middle, top). Initially, exploratory factor analysis (EFA) was used to extract the factors. The reliability of the modified questionnaire was then assessed using Cronbach’s Coefficient Alpha. Thereafter, confirmation factor analysis (CFA) was undertaken to develop and test the model structure in SEM, which generated a good model fit. Pearson r was computed to assess the relationship amongst the dimensions. Using structural equation modelling, the results support a significant relationship between consumer persuasibility and dissonance and a significant but inverse relationship between consumer confidence and dissonance, and confidence and persuasibility respectively.

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