scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Kesiapan Kerja Pada Siswa SMK Negeri 1 Sinjai

2018 ◽  
Vol 6 (2) ◽  
pp. 105-115
Author(s):  
Muhammad Ihsan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling

Tujuan penelitian ini adalah: 1) Untuk mengetahui bagaimana hasil dari faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, 2) Untuk mengetahui hasil presentasi  dari analisis faktor-faktor yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai, 3) Untuk mengetahui faktor-faktor apa sajakah yang mempengaruhi penerimaan kesiapan kerja siswa SMK Negeri 1 Sinjai. Penelitian ini menggunakan metode deskriptif eksploratif. Populasi dalam penelitian ini adalah seluruh siswa kelas 3 SMK Negeri 1 Sinjai sejumlah 341 siswa dan sampel sebanyak 200 siswa. Analisis data dilakukan dengan pendekatan Structural Equation Modeling (SEM), yaitu SEM berbasis covariance. Berdasarkan hasil dari analisis data yang dilakukan, diperoleh kesimpulan bahwa: 1) Pengujian variabel-variabel pada model I-E-O, yang berpengaruh pada kesiapan kerja siswa SMK Negeri 1 Sinjai, dengan menggunakan pendekatan SEM, disimpulkan model fit dengan data yang ada. 2) Faktor kemampuan memiliki nilai koefisien sebesar 5,537437. Faktor kemampuan merupakan faktor terkuat yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai. Faktor ini terdiri atas prestasi belajar, tingkat intelegensi, pengalaman praktek, kedisiplinan, ekspektansi masuk dunia kerja, bakat. 3) Faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, dipengaruhi oleh faktor kemampuan, faktor akademis, faktor prilaku dan potensi diri, faktor bawaan/warisan.

scholarly journals Cutoff criteria for overall model fit indexes in generalized structured component analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 189-202
Author(s):  
Gyeongcheol Cho ◽  
Heungsun Hwang ◽  
Marko Sarstedt ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Model Fit ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
Root Mean Square Residual ◽  
Fit Indexes ◽  
Cutoff Criteria

AbstractGeneralized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

A New Dimension of Organizational Justice: Procedural Voice

2009 ◽  
Vol 105 (2) ◽  
pp. 411-426 ◽  
Author(s):  
Denise Jepsen ◽  
John Rodwell
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Justice ◽  
Latent Variable ◽  
Structural Equation ◽  
Factor Model ◽  
Model Fit ◽  
Equation Modeling ◽  
Wide Range

Dimensionality of the Colquitt justice measures was investigated across a wide range of service occupations. Structural equation modeling of data from 410 survey respondents found support for the 4-factor model of justice (procedural, distributive, interpersonal, and informational), although significant improvement of model fit was obtained by including a new latent variable, “procedural voice,” which taps employees' desire to express their views and feelings and influence results. The model was confirmed in a second sample ( N = 505) in the same organization six months later.

scholarly journals Pengaruh Sistem Manajemen Mutu Terhadap Kinerja Operasional Di Pt Waskita Beton Precast

2019 ◽  
Vol 11 (2) ◽  
pp. 87-107
Author(s):  
Miftakul Huda ◽  
M Luthfi Syifaul
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Full Model

Tujuan penelitian ini adalah menguji pengaruh sistem manajemen mutu terhadap kinerja operasional perusahaan di PT. Waskita Beton Precast. Data penelitian diperoleh dari sampel 100 responden karyawan yang dipilih secara acak serta proporsional pada setiap unit kerja. Metode analisa yang digunakan dalam menguji hubungan antar konstruk laten sistem manajemen mutu terhadap kinerja operasional perusahaan adalah Structural Equation Modeling (SEM) menggunakan program AMOS V.24. Hasil penelitian menemukan bahwa sistem manajemen mutu pada karyawan dipersepsikan sudah baik oleh karyawan. Hasil pengujian pada analisis full model, menunjukkan bahwa model secara keseluruhan memenuhi kriteria model fit. Keseluruhan indikator konstruk, yaitu fokus pada pelanggan, kepemimpinan, keterlibatan personel, pendekatan proses, pendekatan sistem terhadap menejemen, peningkatan berkesinambungan, pendekatan factual dalam mengambil keputusan, dan hubungan pemasok yang saling menguntungkan adalah valid dan reliabel dalam mengukur konstruk kinerja operasional perusahaan, serta pelanggan, tanggung jawab manajemen, realisasi produk, pengukuran analisa dan perbaikan adalah valid dan reliabel dalam mengukur konstruk pengaruh sistem manajemen mutu. Pengujian hipotesis menunjukkan hasil yang konsisten dengan kajian teoritis bahwa sistem manajemen mutu berpengaruh positif dan signifikan terhadap kinerja operasional perusahaan.

Construct Validity of the Risk, Pain, and Injury Questionnaire

2005 ◽  
Vol 22 (4) ◽  
pp. 433-446 ◽  
Author(s):  
Stephan R. Walk ◽  
Lenny D. Wiersma
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
West Coast ◽  
Content Validity ◽  
Structural Equation ◽  
Factor Model ◽  
Model Fit ◽  
Face Validity ◽  
Equation Modeling ◽  
Limited Support

Nixon’s (1994a; 1994b; 1996a; 1996b) research using a Risk, Pain, and Injury Questionnaire (RPIQ) is perhaps the most systematic in the risk, pain, and injury literature. The RPIQ is intended to measure the acceptance of dominant discourses on risk, pain, and injury among athletes and others. This article presents a face validity critique of the RPIQ and results of a subsequent content validity analysis based on a study of 171 athletes from a West Coast university. Structural equation modeling used to test Nixon’s original 3-factor model (M1) revealed poor model fit. Two alternate models (M2 and M3) tested reformulated subscale constructs and items. Whereas M2 demonstrated poor construct validity, limited support was found for items in M3. Further replications of this research are recommended.

scholarly journals Development of a Model to Predict love Trauma Syndrome in Students According to Personality Traits, Initial Maladaptive Schemas and Spiritual Health

2021 ◽  
Author(s):  
Marziyeh Etemadnia ◽  
◽  
Shohreh Shiroodi ◽  
Javad Khalatbari ◽  
Shahnam Abolghasemi ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Personality Traits ◽  
Structural Equation ◽  
Well Being ◽  
Spiritual Health ◽  
Model Fit ◽  
Equation Modeling ◽  
Maladaptive Schemas ◽  
Correlational Research

Objectives Love trauma syndrome is a common occurrence among college students that can result to psychological and educational problems. The current research supposed to illustrate the role of personality traits, early maladaptive Schemas and spiritual health in prediction of love trauma syndrome. Methods The present study was a correlational research based on structural equation modeling (SEM). The population includes all students of Tehran universities who suffers love trauma syndrome. 500 subjects were selected by cluster random sampling and answered the Love Trauma Inventory(LTI), Hexaco Personality Questionnaire(HEXACO), Young Schema Questionnaire(YSQ-SF) and Spirituality Index of Well-Being(SIWB). Data analysis was performed by structural equation modeling using LISREL software. Results SEM model showed a root mean square error of 0.043 which indicate good model fit. Conclusion The provided model for predicting LT syndrome was a good fitting model. Personality traits, early maladaptive schemes, and the spiritual health could predict LT syndrome. Extraversion, excitement, humility/honesty, sacrifice, abandonment/ instability and life plan are the best predictors for intensity of love trauma syndrome.

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