Testing Hypotheses about Language Learning Using Structural Equation Modeling

2014 ◽  
Vol 34 ◽  
pp. 102-122 ◽  
Author(s):  
Paula Winke
Keyword(s):  
Structural Equation Modeling ◽  
Second Language Acquisition ◽  
Language Learning ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Learning Context ◽  
The People

In this chapter, I review a statistical method for hypothesis or theory testing calledstructural equation modeling(SEM). First, I describe what a model of second language acquisition (SLA) is. I do this so anyone, even those new to the field of applied linguistics, can understand the basic concepts underlying SEM; that is, SEM researchers first articulate a model of SLA, then get empirical data from the real world that operationalize the variables in the model. Researchers use an SEM program to test the model on the data (to see if the model fits the data; if the model is plausible in relation to the learning context of the people from whom the data were collected). After explaining the basics of SEM, I provide a review of 39 applied linguistics studies that have been published in the last five years (between 2008 and 2013) and that present at least one SEM analysis as part of the results. I discuss four problematic areas related to the use of SEM that I believe these 39 studies highlighted: (a) sample size, (b) model presentation, (c) reliability, and (d) the number of Likert-scale points. I conclude with possible solutions for the four problem areas and outline future directions.

Analisis Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan dan Persepsi Risiko Terhadap Keputusan Pembelian dengan Kepercayaan Sebagai Variabel Intervening (Studi Pada Konsumen Gofood di Kota Semarang)

2020 ◽  
Vol 19 (2) ◽  
pp. 114-125
Author(s):  
Isnaeni Agustin Widhiaswara ◽  
Harry Soesanto
Keyword(s):  
Structural Equation Modeling ◽  
Perceived Risk ◽  
Structural Equation ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Food Purchases ◽  
The City

This study aims to analyze the effect of perceived usefulness, perceived of ease of use, perceived risk , trust and purchasing decisions for GoFood in the city of Semarang. Respondents in this study are consumers who make food purchases through GoFood. Data collected through Google Form containing questionnaires filled out by 125 respondents. The analytical method used is Structural Equation Modeling (SEM) analysis carried out with the AMOS program. The results of hypothesis testing with SEM show that: 1. Perceived usefulness has a significant effect on trust, 2. Perceived of ease of use has a significant effect on trust, 3. Perceived risk has a significant effect on trust, 4. Trust has a significant effect on purchasing decisions, 5. Perceived usefulness has a significant effect on purchasing decisions, 6. Perceived of ease of use has a significant effect on purchasing desicion, 7. Perceived risk has a significant effect on purchasing decisions.

scholarly journals Analisis Pengaruh Orientasi Kewirausahaan, Inovasi, dan Kapabilitas Pemasaran terhadap Keunggulan Bersaing pada UKM Olahan Ikan di Semarang

2021 ◽  
Vol 23 (1) ◽  
pp. 21-30
Author(s):  
Lisda Rahmasari
Keyword(s):  
Structural Equation Modeling ◽  
Competitive Advantage ◽  
Structural Equation ◽  
Sampling Technique ◽  
Population Data ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Analysis Tool ◽  
Marketing Capabilities ◽  
Research Population

This study aimed to find out the influence of entrepreneurial orientation, innovation and marketing capabilities on competitive advantage. The research population comprised Fish Processing Business in Semarang City. The sample was selected by means of the purposive sampling technique. The sample was 100 companies. The data were collected by a questionnaire, interviews, and documentation. This research uses Structural Equation Modeling (SEM) analysis technique using AMOS 24.0 analysis tool. The test results using Structural Equation Modeling (SEM) analysis techniques indicate that the model is in accordance with population data. The results of the study showed that entrepreneurship oriented , innovation and marketing capabilities had a significant positive effect on competitive advantage. Used by analyzer for example validity test, test reliabilitas, and hipotesis test use modelling equation structural (SEM).

scholarly journals MODEL PERSAMAAN STRUKTURAL UNTUK MENGETAHUI PERSEPSI KONSUMEN TERHADAP BUAH IMPOR

2020 ◽  
Vol 9 (3) ◽  
pp. 149
Author(s):  
I KADEK TEGUH PRADANA ◽  
NI KETUT TARI TASTRAWATI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Consumer Perception ◽  
Equation Modeling ◽  
Consumer Knowledge

This research is aimed to determine the factors that significantly influence consumer perception in buying imported fruits using structural equation modeling (SEM) analysis. The study use 164 data obtained from questionnaire, which respondents were aged 18 years old or above, from Gianyar Regency, had bought and had felt imported fruits. The study use 4 latent variables (perception, product, personal, culture) with 19 measured variables. The results showed that consumer knowledge about imported fruits (product) and culture about the use of imported fruits in traditional ceremonies (culture) were significantly influence consumer perception about consumption of imported fruit (perception).

The Practice of Structural Equation Modeling

2014 ◽  
pp. 2521-2530
Author(s):  
Ho Yin Wong ◽  
Jason Sit ◽  
Jia-Yi Hung
Keyword(s):  
Structural Equation Modeling ◽  
Statistical Modeling ◽  
Structural Equation ◽  
Sem Analysis ◽  
Modeling Technique ◽  
Equation Modeling ◽  
Business Analytics ◽  
Wide Range ◽  
Stage Process ◽  
Point Of Reference

The aim of this chapter is to act as a point of reference for researchers, especially new users, who would like to use structural equation modeling (SEM) to perform business analytics. SEM is a multipurpose statistical modeling technique that can be applied in various business disciplines and is a useful tool to conduct business analytics. This chapter explains some common terminologies in the SEM literature and states general steps of performing SEM analysis along with an integration of the wide range of views and empirical findings on the topic. The chapter discusses the assumptions of SEM analysis, followed by a three-stage process of conducting, which includes assumptions, specification, evaluation, and modifications.

scholarly journals The Influence of Leader Encouragement of Creativity on Innovation Speed: Findings from SEM and fsQCA

2019 ◽  
Vol 11 (9) ◽  
pp. 2693 ◽  
Author(s):  
Cong Cheng ◽  
Liebing Cao ◽  
Huihui Zhong ◽  
Yining He ◽  
Jiahong Qian
Keyword(s):  
Structural Equation Modeling ◽  
Qualitative Analysis ◽  
Fuzzy Set ◽  
Creative Process ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Organizational Ambidexterity ◽  
Data Set ◽  
The Impact

Adopting the empowerment perspective of leadership, this study proposes and examines the mediating model that leader encouragement of creativity affects innovation speed through strengthening employees’ engagement in the creative process. Using a sample of 245 participants in China, the results from structural equation modeling (SEM) suggest that the impact of leader encouragement of creativity on innovation speed is significantly mediated by creative process engagement, and positively moderated by organizational ambidexterity at the same time. Additionally, the results from fuzzy-set comparative qualitative analysis (fsQCA) with the same data set reveal that the aforementioned factors have a holistic effect on enhancing innovation speed. The results of fsQCA reinforce and refine the findings of the SEM analysis concerning the limits and conditions for how leader encouragement of creativity affects innovation speed.

Application of Structural Equation Modeling Software in Applied Linguistics

2014 ◽  
Vol 687-691 ◽  
pp. 1573-1576
Author(s):  
Wei Jing
Keyword(s):  
Structural Equation Modeling ◽  
Literature Review ◽  
Uniform Distribution ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Literature Survey ◽  
Equation Modeling ◽  
General Situation ◽  
Modeling Software

Mechanical drawing language EQS, its full name is Equally Spaced, which means the uniform distribution of meaning. Now, its importance is more and more incarcerating. This paper outlined the application of EQS in Applied Linguistics, firstly introduces the general situation, then describes the modeling steps; finally applied linguistics tells the story of EQS. In this paper, it mainly used the literature review method and literature survey.

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.

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