A Second-Order Longitudinal Model for Binary Outcomes: Item Response Theory Versus Structural Equation Modeling

Researchers in the social sciences often obtain ratings of a construct of interest provided by multiple raters. While using multiple raters provides a way to help avoid the subjectivity of any given person’s responses, rater disagreement can be a problem. A variety of models exist to address rater disagreement in both structural equation modeling and item response theory frameworks. Recently, a model was developed by Bauer et al. (2013) and referred to as the “trifactor model” to provide applied researchers with a straightforward way of estimating scores that are purged of variance that is idiosyncratic by rater. Although the intent of the model is to be usable and interpretable, little is known about the circumstances under which it performs well, and those it does not. We conduct simulation studies to examine the performance of the trifactor model under a range of sample sizes and model specifications and then compare model fit, bias, and convergence rates.

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The Measurement Invariance of the Short Dark Triad

Journal of Individual Differences ◽

10.1027/1614-0001/a000322 ◽

2020 ◽

Vol 41 (4) ◽

pp. 207-218

Author(s):

Mihaela Grigoraș ◽

Andreea Butucescu ◽

Amalia Miulescu ◽

Cristian Opariuc-Dan ◽

Dragoș Iliescu

Keyword(s):

Structural Equation Modeling ◽

Item Response ◽

Structural Equation ◽

Dark Triad ◽

Theory And Practice ◽

Equation Modeling ◽

Scale Level ◽

High Stake ◽

Differential Functioning ◽

Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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Is Physical Evidence Still Valid? A Study of Low Cost Carriers in Indonesia

Gadjah Mada International Journal of Business ◽

10.22146/gamaijb.8499 ◽

2015 ◽

Vol 17 (3) ◽

pp. 203

Author(s):

Yasintha Soelasih

Keyword(s):

Structural Equation Modeling ◽

Service Quality ◽

Structural Equation ◽

Low Cost ◽

Second Order ◽

Equation Modeling ◽

Opposite Result ◽

Physical Evidence ◽

Low Cost Carriers

Physical evidence has been widely accepted as variable that has impact on satisfaction, specifically in airline service. However, this study showed some opposite result for low cost airlines in Indonesia. It revealed that physical evidence has no effect on the passengers’ satisfaction but the fares and its service quality to passengers.’ This study collected sample of 317 passengers from commercial domestic flights at terminal 1, 2, and 3 at Soekarno Hatta airport in Cengkareng, Indonesia. The variables used in this study were: fares, service quality, physical evidence, passengers’ satisfaction levels and repeat buying. Two variables, i.e.: service quality and physical evidence were treated as second order. This study used Structural Equation Modeling (SEM) for verification analysis. The result revealed that there was no effect of physical evidence on the passengers’ satisfaction. It also found that repeat buying demonstrated the passengers’ satisfaction.

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KONTRIBUSI RANTAI NILAI TERHADAP PENINGKATAN DAYA SAING PERIKANAN TUNA DI KABUPATEN CILACAP DAN SEKITARNYA

Jurnal Kebijakan Perikanan Indonesia ◽

10.15578/jkpi.10.1.2018.11-23 ◽

2018 ◽

Vol 10 (1) ◽

pp. 11

Author(s):

Bambang Nariyono ◽

Arief Daryanto ◽

M Firdaus ◽

Setijadi Johar

Keyword(s):

Structural Equation Modeling ◽

Value Chain ◽

Structural Equation ◽

Global Market ◽

Second Order ◽

Equation Modeling ◽

P Value ◽

Chi Square ◽

Tuna Industry ◽

Tuna Fishery

Indonesia dalam industri tuna sangat diperhitungkan karena posisinya sebagai pemasok lebih dari 15 % produksi tuna dunia, tetapi di sisi lain daya saing perikanan tuna masih rendah. Tujuan dari penelitian ini adalah menganalisis kontribusi rantai nilai perikanan tuna terhadap daya saing industri perikanan tuna di Kabupaten Cilacap. Penelitian dilaksanakan pasa bulan April sampai dengan September 2017. Hasil analisis Second Order Structural Equation Modeling didapatkan bahwa rantai nilai berpengaruh terhadap daya saing industri tuna dengan loading factor 0.540 dan nilai p yang signifikan. Pengujian terhadap model secara simultan terbukti bahwa model telah fit dengan telah dipenuhinya semua ukuran fitting model yang diindikasikan dengan nilai Chi-Square kecil yaitu 301.252, RMSEA = 0.072, GFI = 0.907, CFI= 0.923, dan CMIN/DF = 1.814. Temuan penelitian ini membuktikan bahwa rantai nilai mempunyai pengaruh yang signifikan terhadap daya saing industri tuna. Dengan demikian strategi yang tepat untuk memperkuat daya saing industri tuna dapat dilakukan dengan cara meningkatkan rantai nilai perikanan tuna terutama dari aspek operasional, outbond logistic, dan services.Indonesia is the world’s larget tuna produser with contributing 15 percent to the world tuna market. However, the competitiveness of tuna fishery is still low. The aim of this research is to analyze the contribution of value chain of tuna fishery toward competitiveness of tuna industry in Cilacap. The study was conducted from April to September 2017. The results of analysis using using second order Structural Equation Modeling method (SEM) found that the value chain influenced the competitiveness of tuna industry with loading factor of 0.540 and significant p value. Tests on the model simultaneously proved that the model has been fit with the fulfillment of all fittings of the model. It gives indication with variables value, such as : Value of Chi-square is low with value 301.252; 0.072 for Root Mean Square Error of Approximation (RMSEA); 0.907 for Goodness Fit Index (GFI); 0.907 for (CFI); and 1.814 for minimum discrepancy (CMIN/DF). This research gives evidence that value chain has a significant impact toward competitiveness of tuna fishery industries.The best strategies to increase competitiveness of tuna fishery industries is increasing a value chain of of tuna fishery industries, Mainly from operational aspect, outbond logistic and services to raise tuna commodity productvity in global market.

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PENGARUH KUALITAS PELAYANAN TERHADAPKEPUASAN KONSUMEN DAN DAMPAKNYA TERHADAP BRAND IMAGE

Jurnal Ekobis : Ekonomi Bisnis & Manajemen ◽

10.37932/j.e.v11i2.402 ◽

2021 ◽

Vol 11 (2) ◽

pp. 392-408

Author(s):

Ilza Febrina ◽

Lisa Nurlitasari ◽

Lela Nurlaela Wati

Keyword(s):

Structural Equation Modeling ◽

Customer Satisfaction ◽

Service Quality ◽

Empirical Evidence ◽

Structural Equation ◽

Brand Image ◽

Second Order ◽

Equation Modeling ◽

Study Support ◽

Determining Factor

ABSTRAKPenelitian ini bertujuan untuk menguji pengaruh kualitas pelayanan terhadap kepuasan konsumen dan dampaknya terhadap brand image pada PT Bank Mayapada Internasional, Tbk Cabang Menara Topas Jakarta Pusat. Sampel dalam penelitian ini sebanyak 105 nasabah. Analisis data yang digunakan adalah Structural Equation Modeling (SEM). Hasil penelitian secara empiris menunjukkan bahwa kualitas pelayanan berpengaruh positif dan signifikan terhadap kepuasan nasabah, sehingga ketika kualitas pelayanan meningkat maka kepuasan nasabah pun akan meningkat. Kepuasan nasabah berpengaruh positif dan signifikan terhadap brand image, sehingga ketika kepuasan nasabah meningkat maka brand image yang ditampilkan perusahaan pun akan meningkat. Kualitas pelayanan berpengaruh negatif dan tidak signifikan terhadap brand image, artinya kualitas pelayanan bukan merupakan factor penentu brand image. Pengujian tidak langsung kualitas pelayanan terhadap brand image melalui kepuasan nasabah berpengaruh positif dan signifikan. Bukti empiris ini menunjukkan bahwa kualitas pelayanan tidak dapat mempengaruhi brand image secara langsung, namun melalui kepuasan nasabah. Hasil penelitian ini mendukung teori Service Quality, semakin baik kualitas pelayanan maka nasabah akan semakin puas sehingga menimbulkan kesan yang baik terhadap perusahaan. Penelitian ini berbeda dengan peneliti sebelumnya karena menguji pengaruh langsung dan tidak langsung secara komprehensif dengan menggunakan second order confirmatory. Kata Kunci: Kualitas pelayanan, kepuasan konsumen dan brand image ABSTRACTThis study aims to analyze the empirical evidence of the influence of service quality on customer satisfaction and its impact on brand image at PT Bank Mayapada Internasional, Tbk Menara Topas Central Jakarta Branch. The sample in this study were 105 customers. Analysis of the data used is Structural Equation Modeling (SEM). Empirical research results show that service quality has a positive and significant effect on customer satisfaction, so that when service quality increases, customer satisfaction will increase. Customer satisfaction has a positive and significant effect on brand image, so that when customer satisfaction increases, the brand image displayed by the company will increase. Service quality has a negative and not significant effect on brand image, meaning that service quality is not a determining factor for brand image. Indirect testing of service quality on brand image through customer satisfaction has a positive and significant effect. This empirical evidence shows that service quality cannot affect brand image directly, but through customer satisfaction. The results of this study support the Service Quality theory, the better the service quality, the more satisfied customers will be, thus creating a good impression on the company. This study is different from previous researchers because it examines the direct and indirect effects comprehensively by using second order confirmatory.so that when service quality increases, customer satisfaction will increase and will improve the brand image displayed by the company.Keywords: Service quality, customer satisfaction and brand image

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