scholarly journals MODEL HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN TERHADAP LOYALITAS PELANGGAN MENGGUNAKAN SEM (Studi Kasus Smartphone Merek Xiaomi)

JUMINTEN ◽  
2020 ◽  
Vol 1 (4) ◽  
pp. 58-69
Author(s):  
Miftakhul Ainun Arif ◽  
Minto Waluyo
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Regression Weight

Xiaomi merupakan salah satu merek smartphone asal Tiongkok yang pada kuartal ke tiga 2019 memiliki pangsa pasar ke dua terbesar di Indonesia. Dalam hal ini, peneliti lantas melakukan pengukuran kepuasan dan loyalitas pelanggan terhadap pengguna produk smartphone Xiaomi. Adapun tujuan dari penelitian ini adalah mengetahui faktor-faktor yang mempengaruhi kepuasan terhadap loyalitas pelanggan smartphone merek tersebut. Metode penelitian menggunakan sampel sebanyak 170. Metode analisis menggunakan tools Structural Equation Modeling (SEM) dengan menggunakan aplikasi AMOS 22. Dari hasil penelitian menunjukkan bahwa kualitas produk terhadap kepuasan pelanggan memiliki pengaruh negatig dan tidak signifikan (est. std. regression weight = -0.632). Persepsi harga terhadap kepuasan pelanggan memiliki pengaruh positif tetapi tidak signifikan (est. regression weight = 0.223). E-commerce terhadap kepuasan pelanggan memiliki pengaruh positif tetapi tidak signifikan (est. std. regression weight = 0.154). Komunikasi interpersonal terhadap kepuasan pelanggan memiliki pengaruh positif dan signifikan (est. std. regression weight = 0.489). Citra merek terhadap kepuasan pelanggan memiliki pengaruh positif dan signifikan (est. std. regression weight = 0.694). Kepusaan pelanggan terhadap kepuasan pelanggan memiliki pengaruh positif tetapi tidak signifikan est. std. regression weight = 0.979).

scholarly journals The role of infrastructure sustainability and success of construction projects on owner benefits

2018 ◽  
Vol 192 ◽  
pp. 02026 ◽  
Author(s):  
Thanachon Krajangsri ◽  
Jakrapong Pongpeng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Construction Projects ◽  
Equation Modeling ◽  
Direct Influence ◽  
Regression Weight

The infrastructure sustainability and success of construction projects likely influence owner benefits. However, these influences have rarely been examined. Thus, the research aimed to examine such influences and intervening behavior of the success of construction projects between the sustainability of infrastructure and owner benefits using structural equation modeling (SEM). The study finds that there are a direct influence of the sustainability of infrastructure on owner benefits (regression weight: 0.63) and an indirect direct influence of that (regression weight: 0.22) through the intervening role of the success of construction projects. The findings ensure that implementation of infrastructure sustainability projects can enhance the success of construction projects and owner benefits.

scholarly journals PENGARUH JOB SATISFACTION DAN PAY SATISFACTION TERHADAP TURNOVER INTENTION KARYAWAN DENGAN KOMITMEN ORGANISASIONAL SEBAGAI VARIABEL INTERVENING

1970 ◽  
Vol 15 (2) ◽  
Author(s):  
Aris Susetyo
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Turnover Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Pay Satisfaction ◽  
Regression Weight

Tingkat turnover yang tinggi akan menimbulkan dampak negatif bagi organisasi, hal ini seperti menciptakan ketidakstabilan dan ketidakpastian (uncertainity) terhadap kondisi tenaga kerja dan peningkatan biaya sumber daya manusia yakni yang berupa biaya pelatihan yang sudah diinvestasikan pada karyawan sampai biaya rekrutmen dan pelatihan kembali. Turnover yang tinggi juga mengakibatkan organisasi tidak efektif karena perusahaan kehilangan karyawan yang berpengalaman dan perlu melatih kembali karyawan baru. Tujuan dilakukannya penelitian ini adalah untuk menguji pengaruh job satisfaction dan pay satisfaction terhadap turnover intention karyawan dengan komitmen organisasional sebagai variabel intervening di Bale Group Kebumen. Metode pengambilan sampel yang digunakan adalah sampling jenuh/sensus yaitu teknik penentuan sampel bila semua anggota populasi digunakan sebagai sampel. Pemilihan metode sampling jenuh/sensus dilakukan karena semua populasi dinilai memiliki kriteria tertentu untuk diteliti. Responden pada penelitian ini adalah karyawan tetap Bale Group Kebumen yang berjumlah 102 responden. Penelitian ini mengggunakan metode analisis deskriptif dan statistika dengan bantuan program Amos 21 dan SPSS 22. Dalam metode statistika dilakukan uji validitas, reliabilitas, uji normalitas, outliers, multikolineritas dan singularitas, uji kesalahan spesifikasi model, analisis faktor konfirmatori dan analisis Structural Equation Modeling (SEM). Pengujian hipotesis dalam uji regression weight menunjukkan bahwa job satisfaction berpengaruh dan signifikan terhadap komitmen organisasional dengan nilai CR sebesar 2,110 dan probabilitas sebesar 0,035. Pay satisfaction berpengaruh dan signifikan terhadap komitmen organisasional dengan nilai CR sebesar -2,056 dan probabilitas sebesar 0,040. Job satisfaction berpengaruh dan signifikan terhadap turnover intention dengan nilai CR sebesar 2,097 dan probabilitas sebesar 0,036. Pay satisfaction berpengaruh dan signifikan terhadap turnover intention dengan nilai CR sebesar 2,984 dan probabilitas sebesar 0,003. Komitmen organisasional tidak berpengaruh dan tidak signifikan terhadap turnover intention dengan nilai CR sebesar 1,103 dan probabilitas sebesar 0,270.

scholarly journals INOVASI DAN KEUNGGULAN BERSAING: STUDI KNOWLEDGE MANAGEMENT, TALENT DEVELOPMENT DAN MODAL SOSIAL

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Pudjo Sugito ◽  
Kamaluddin Kamaluddin
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Talent Development ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Critical Ratio ◽  
Regression Weight

Tujuan penelitian ini adalah untuk mengekplorasi bagaimana inovasi dan keunggulan bersaing dalam perspektif manajemen pengetahuan, pengembangan bakat dan modal sosial. Populasi penelitiannya adalah semua industri kecil menengah (IKM) di Kabupaten Tulungagung, Jawa Timur. Jumlah sampel penelitiannya sebanyak 200 pelaku IKM. Pengumpulan datanya menggunakan the purposive random sampling technique. Data primer yang telah dikumpulkan dianalisis dengan teknik analisis diskriptif dan inferensial dengan menggunakan structural equation modeling (SEM). Analisis faktor digunakan untuk mengkonfirmasi faktor yang paling dominan diantara faktor yang diteliti. Kemudian Regression Weight on confirmatory digunakan untuk menguji hubungan antar variabel penelitian. Berdasarkan hasil analisis terungkap bahwa semua hipotesis penelitian diterima. Hal itu karena semua memiliki critical ratio (CR) lebih besar dari 2 dan nilai p lebih kecil 0.05. Maknanya, baik manajemen pengetahuan, pengembangan bakat maupun modal sosial berpengaruh signifikan terhadap inovasi dan keunggulan bersaing. Dengan demikian maka temuan ini dapat dijadikan pijakan baru pada penelitian lanjutan yang linear dan bahkan secara pragmatis dapat menjadi pertimbangan untuk mereformulasi pemberdayaan IKM, khususnya di Kabupaten Tulungagung

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

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.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

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