scholarly journals From Demotivation to Remotivation: A Mixed-Methods Investigation

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110411
Author(s):  
Fatemah H. Albalawi ◽  
Ali H. Al-Hoorie
Keyword(s):  
Structural Equation Modeling ◽  
Mixed Methods ◽  
Language Learning ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Mixed Methods Design ◽  
Learning And Teaching ◽  
Ideal L2 Self ◽  
Larger Sample

Research into language learning demotivation has tended to focus on the identification of discrete factors resulting in demotivation. In this article, we report an investigation into the interrelationship among factors eventually leading to demotivation using a sequential exploratory mixed-methods design. In Study 1, 13 participants were interviewed about their demotivation experiences and what factors, they perceived, had led to demotivation over a period of 12 months. We then used these results to formulate a demotivation model. In Study 2, we tested the generalizability of this model on a larger sample ( N = 2044). Using structural equation modeling, our results showed that the model fit the data, and most of its paths were statistically significant. This model showed that having a fixed mindset had one direct and two indirect paths to demotivation. The two indirect paths were through lowering the learner’s ideal L2 self and through feeling disappointed by setbacks. We discuss the implication of our findings for language learning and teaching.

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.

EFL Learners' Home Culture Attachment and their Attitudes towards English Language Learning: A structural equation modeling approach

2017 ◽  
Vol 6 (7) ◽  
pp. 161
Author(s):  
Zahra Sharifi Feriz ◽  
Khalil Motallebzadeh ◽  
Ma'ssoumeh Bemani Naeini
Keyword(s):  
Structural Equation Modeling ◽  
Foreign Language ◽  
Language Learning ◽  
Structural Equation ◽  
English Language ◽  
Pearson Correlation ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
English Language Learning ◽  
Home Culture

The purpose of the present study is to examine home culture attachment construct and its underlying variables among Iranian English as Foreign Language learners as well as their attitudes towards English language learning. Pearson correlation is used with a sample of 411 English major university students from different provinces in Iran, mainly Khorasan Razavi, Khoran Jonoubi and Sistan Baluchestan participated in this study. As for the quantitative phase of data collection, the study employed home culture attachment and attitude towards English language learning questionnaires. The reliability and validity of these questionnaires are reported. A home culture attachment model and an attitude model are also developed and tested using structural equation modeling. The results suggest that all three subscales of attitudes (emotional, behavioral, and cognitive) are positive and significant predictors of students' western attachment. From three subscales of attitude, only behavioral attitude is negative and significant predictors of students' religious attachment. In addition, Iranian attachment is influenced by cognitive attitudes and emotional attitudes. Besides, cognitive attitude is a positive and significant predictor of students' cultural attachment. It is also found that, artistic attachment is influenced by behavioral attitudes and emotional attitudes. Finally, the pedagogical implications are discussed in light of foreign language achievement.

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 Economies of Scale Through E-Teaching in the Post-COVID Era – Students’ Improvements Recommendations Using Mixed Methods Design

2021 ◽  
Vol 11 (3) ◽  
pp. 67
Author(s):  
Eyal Eckhaus ◽  
Nitza Davidovitch
Keyword(s):  
Mixed Methods ◽  
Learning Outcomes ◽  
Structural Equation ◽  
Online Teaching ◽  
Economies Of Scale ◽  
Teaching Method ◽  
Equation Modeling ◽  
Academic Institutions ◽  
Mixed Methods Design ◽  
Learning Centered

This study centers on a retrospective investigation of effective and pedagogic planning of academic digital courses taught during the COVID-19 crisis, from the students’ perspective. We shall focus on the difference between the traditional, teaching-centered paradigm, and the modern learning-centered approach, while emphasizing the formulation of learning outcomes in online study expanses, in light of the learning experience imposed on teachers and students at the various academic institutions.The study explored the learning outcomes from students’ point of view, as well as the benefits and challenges embodied by formulating learning goals in the post-COVID era, according to the learning-centered paradigm, relating to the strengths and weaknesses of the Zoom teaching method from the students’ perspective, predicated on 1,828 students from several institutions. We used a mixed methods design incorporating qualitative and quantitative analysis to develop the Online Teaching Recommendations (SOTR) model. We used Structural Equation Modeling (SEM) for goodness-of-fit.The research findings indicate that the various types of e-learning challenge academic institutions to carry out renewed thinking about the main potential advantage of physical academic institutions where students and teachers meet, talk, and discuss directly and unmediated, compared to virtual bodies of knowledge and teaching that are evolving at present and that are allegedly threatening to render universities irrelevant.

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.

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