Psychometric Characteristics of Strengths Knowledge Scale and Strengths Use Scale Among Adolescents

2017 ◽  
Vol 36 (7) ◽  
pp. 756-760 ◽  
Author(s):  
Wenjie Duan ◽  
Jinxia Li ◽  
Wenlong Mu
Keyword(s):  
Structural Equation Modeling ◽  
Convergent Validity ◽  
Structural Equation ◽  
Internal Consistency Reliability ◽  
Equation Modeling ◽  
Psychometric Characteristics ◽  
Strengths Use ◽  
Good Internal Consistency ◽  
Current Sample ◽  
Knowledge Scale

This study examined the psychometric properties of Strengths Knowledge Scale (SKS) and Strengths Use Scale (SUS) in a sample of 442 adolescents by the exploratory structural equation modeling. Correlations between strength use/strength knowledge and flourish, positive affect, negative affect, depression, anxiety, stress, and GPA were examined to illustrate criterion-related validities. Results showed good internal consistency reliability, expected structure factor, and convergent validity of the SKS and the SUS in the current sample.

scholarly journals Reflection on success and failures: scale development and validation

2020 ◽  
Vol 32 (8) ◽  
pp. 615-626
Author(s):  
Makoto Matsuo
Keyword(s):  
Positive Psychology ◽  
Work Engagement ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Strengths Use ◽  
Wide Range

Purpose Although positive psychology emphasizes the importance of reflecting on success in promoting strengths use and self-efficacy, no research has developed a measure of reflection on success. The purpose of this study is to develop and validate the scales for reflection on success and failures. Design/methodology/approach Study 1 was conducted to extract the dimensions of reflection on success and failures using survey data from nurses (n = 298), whereas Study 2 involved validation of the scales using a two-wave survey of physical therapists (n = 291). Findings In Study 1, the factors of “reflection on success” and “reflection on failures” were extracted by exploratory factor analysis. In Study 2, the discriminant validity of the two scales was established via confirmatory factor analyses. The structural equation modeling results indicated that reflection on success promoted work authenticity, work engagement and strengths use, while reflection on failures only promoted work engagement, indicating the convergent validity of the scales. Research limitations/implications As the research subjects were medical professionals in Japan, the scales need to be validated with samples from a wide range of occupations and cultural backgrounds, in future research. Originality/value The present research expands the literature on reflection and strengths-based approach by introducing the “success–failures” dimension based on positive psychology, broaden-and-build theory and job demands–resources theory.

The relationship of employees' strengths use and innovation: Work engagement as a mediator

2020 ◽  
Vol 48 (5) ◽  
pp. 1-6
Author(s):  
Yuanqin Ge ◽  
Xiaomeng Sun
Keyword(s):  
Structural Equation Modeling ◽  
Work Engagement ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Innovative Behavior ◽  
Strengths Use ◽  
Validated Questionnaire ◽  
Relationship Of ◽  
The Relationship

We investigated the relationship between employees' strengths use and innovation through the mediator of their work engagement. A validated questionnaire was used to collect data from 158 employees at 3 companies in China. Structural equation modeling results show that work engagement partially mediated the relationship between employee strengths use and innovation. In addition, employee strengths use increased their innovation and made them more engaged in their work, and employees' work engagement, in turn, promoted their innovative behavior. These findings suggest that strengths use alone does not enhance employee innovation: Work engagement is also important. Directions for future research are discussed.

Diseño y validación de la escala Evaluación de los Aprendizajes (EEA)

2017 ◽  
Vol 21 (2) ◽  
pp. 107-126
Author(s):  
Melany Hebles Ortiz ◽  
Manuel Alonso-Dos-Santos ◽  
Concepción Yaniz Alvarez-de-Eulate ◽  
Lourdes Villardon-Gallego
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Convergent Validity ◽  
Structural Equation ◽  
Assessment Process ◽  
Learning Assessment ◽  
Equation Modeling ◽  
Theoretical Concepts ◽  
Dimensions Of Learning

Resumen:El objetivo de esta investigación ha sido diseñar y validar un instrumento para evaluar la práctica evaluadora en la enseñanza universitaria desde un enfoque de Evaluación Orientada al Aprendizaje, caracterizado por incorporar las actividades de evaluación como actividades de aprendizaje, implicar a los estudiantes en el proceso y ofrecer retroalimentación con información precisa para orientar cambios hacia la mejora del aprendizaje. Para ello se elaboró la Escala sobre la Evaluación de los Aprendizajes (EEA) y se aplicó a una muestra de 1205 estudiantes de una Universidad Chilena. A partir de los datos recogidos se evaluaron las propiedades psicométricas de la escala propuesta así como su capacidad para reflejar los conceptos teóricos y constructos utilizados. Para el análisis estadístico se empleó el método de mínimos cuadrados parciales (PLS, partial least squares) en un modelo de ecuaciones estructurales (SEM, structural equation modeling). Los resultados indican que la escala es válida y fiable para medir el proceso de evaluación de los aprendizajes. Se han corroborado la fiabilidad de los ítems y de las dimensiones, y su validez discriminante y convergente. En consecuencia, los resultados de la investigación permiten confirmar el modelo teórico de nueve dimensiones de la Evaluación Orientada al Aprendizaje: coherencia entre objetivos de aprendizaje y evaluación, cobertura, utilización de los resultados, planificación, contenidos, sistematización, agentes, retroalimentación y momentos.Abstract:The goal of this research has been to design and validate an instrument to evaluate the assessment process in higher education from the perspective of a learning-oriented assessment, characterized by incorporating evaluation activities as learning activities, involve students in the process and provide accurate feedback to guide changes towards improving learning. For this, a scale on the Assessment of Learning (EEA, Escala de Evaluación de los Aprendizajes) was developed and applied to a sample of 1205 students of a Chilean university. The psychometric properties of the proposed scale were evaluated as well as its capability to reflect the theoretical concepts and constructs used. For statistical analysis, the method of partial least squares (PLS) was used in a structural equation modeling (SEM). The results show that the scale is valid and reliable to measure the process of learning assessment. Moreover, they have confirmed the reliability of the items, dimensions and discriminant and convergent validity. Consequently, the results of the research can confirm the theoretical model of nine dimensions of learning-oriented assessment: coherence between learning objectives and evaluation, hedging, use of results obtained, planning, contents, systemizing, agents, feedback and moments.

scholarly journals Escala para o consumo de produtos de luxo: indicadores de validade e precisão

2019 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Solon Bevilacqua ◽  
Katia Barbosa Macêdo
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Descriptive Study ◽  
Equation Modeling ◽  
Luxury Goods ◽  
International Theory ◽  
Good Internal Consistency ◽  
Quantitative Descriptive ◽  
Development And Validation

The consumption of luxury goods is complex in its essence permeate interpretation failures. In this sense the objective of this study is to describe the development and validation of a tool for analyzing the real reasons behind the decision to consume luxury products. This quantitative, descriptive study was conducted in three capitals fields, where 385 consumers of luxury goods were interviewed. Its preparation was possible because of existing studies and national and international theory, constituted from the sequential use of Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM). The final scale consisted of 35 questions that showed good internal consistency and factorial stability. Analyses indicated that the exclusivity factor, tradition and status are key elements for the consumption of luxury, and tradition presents itself as the most important aspect in the pursuit of pleasure. The contribution of this study is to provide a tool that brings understanding to the consumption of luxury, a process fraught with opportunities for various areas of the Brazilian economy.

scholarly journals Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM)

2021 ◽  
Vol 13 (18) ◽  
pp. 10283
Author(s):  
K. Nirmal Ravi Kumar ◽  
Srinivasa Konduru ◽  
P. Chandrasekhara ◽  
Suresh Chandra Babu
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Convergent Validity ◽  
Structural Equation ◽  
State Intervention ◽  
Endogenous Variable ◽  
Equation Modeling ◽  
Infrastructure Development ◽  
Exogenous Variables ◽  
Production Development

Structural equation modeling (SEM) was employed to analyze the influence of exogenous variables (research and extension (RE), marketing aspects (MA), and infrastructure development (ID)) on the endogenous variable chickpea production development (CPD) to restructure policy interventions in India. Results of the measurement model revealed that all the latent variables have construct validity (both convergent validity and discriminant validity) and composite reliability. Confirmatory factor analysis revealed that all indicators of both exogenous and endogenous variables are significant. Yield-increasing production technologies (PT), minimum support prices (MSP), and storage structures (SS) and the three exogenous variables (research and extension, marketing, and infrastructure development) are the strongest indicators. For the endogenous variable CPD, remunerative prices (RP) is the strongest indicator and also serves as a driving force for other indicators. The results of the structural model revealed that RE is the most effective construct followed by ID and MA, and they cumulatively explained 89 percent of the total variation in CPD. Among these three constructs, MSP is the key indicator of MA with the highest loading factor (0.799), and hence it should be given the highest priority for promoting CPD in India.

scholarly journals Evaluation of Preventive, Supportive and Awareness Building Measures among International Students in China in Response to COVID-19: A Structural Equation Modeling Approach

2020 ◽  
Author(s):  
Tanwne Sarker ◽  
Apurbo Sarkar ◽  
Md. Ghulam Rabbany ◽  
Milon Barmon ◽  
Rana Roy ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
International Students ◽  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Convergent Validity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Local Authorities ◽  
The Impact

Abstract Background The Coronavirus Disease 2019 (COVID-19) with its high mortality, stigma and panic has compelled many cities and countries to complete lockdown. The worldwide student group is one of the most affected and vulnerable communities in this situation. Our current study aimed to assess the impact of the behavior change communication among international students in China in current COVID-19 crisis.Methods In this paper, we have utilized partial least squares-structural equation modeling (PLS-SEM) to understand the health behaviour changes of international students in China in response to novel Coronavirus outbreak. We mainly analyzed the relationship among the three selected latent variables (preventive, supportive and awareness building) based on a survey among the international students (n=467) in China in February 2020. We obtained their valuable responses regarding level of awareness, satisfaction and trust in authorities (i.e., government, local authorities and institutions) during this emergency period. Results We utilized 22 indicators in the conceptual framework model with the help of Smart PLS 2.0 version software. The lowest average variance extracted (AVE) for all the constructs of our paper exceeded the minimum accepted value of 0.5, representing the adequate convergent validity. Prediction of students’ satisfaction, the key outcome degree of the model, was nearly moderate, with an R2 = 0.507 whereas the prediction of trust in authorities was above substantial, with an R2 = 0.797. Therefore, our PLS-SEM model showed a strong and significant positive association between preventive and supportive measures taken for the study population and gaining trust, awareness and satisfaction in authorities. Conclusions Integrated partial least squares-structural equation modeling (PLS-SEM) can be a great way to measure the satisfaction and trust level of various population groups over government, local authorities, and institutions in public health emergency like COVID-19 crisis. We believe that our findings are important for travel and global health perspectives. Other countries can learn and take necessary initiatives for their international students and general public to halt this deadly epidemic with gaining their satisfaction and trust as well.

scholarly journals Pengaruh Advertising Dan Brand Ambassador Terhadap Keputusan Pembelian Melalui Brand Image Pada Konsumen Produk Pembalut Charm Di Kota Depok

2020 ◽  
Vol 3 (3) ◽  
pp. 419-433
Author(s):  
Erlita Dwi Anggraeni
Keyword(s):  
Structural Equation Modeling ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Brand Image ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Inner Model ◽  
Composite Reliability

Tujuan penelitian ini adalah menganalisis pengaruh advertising dan brand ambassador terhadap keputusan pembelian melalui brand image pada konsumen produk pembalut Charm di Kota Depok. Metode analisis pada penelitian ini menggunakan SEM (Structural Equation Modeling) dengan pendekatan PLS (Partial Least Square) (SEM - PLS). Tahap uji yang dilakukan menggunakan (outer model) yaitu uji convergent validity, discriminant validity, composite reliability dan (inner model) yaitu uji R - Square, Bootstrapping serta uji analisis SEM dengan efek mediasi. Data yang digunakan dalam penelitian ini menggunakan instrument kuesioner (online) dan data valid yang berhasil dikumpulkan sebanyak 100 responden. Metode pengambilan sampel dalam penelitian ini adalah purposive sampling. Alat bantu pengujian yang digunakan adalah SmartPLS 3. Hasil penelitian menunjukkan bahwa (1) Tidak terdapat pengaruh signifikan advertising terhadap keputusan pembelian, (2) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap keputusan pembelian, (3) Terdapat pengaruh yang positif dan signifikan brand image terhadap keputusan pembelian, (4) Terdapat pengaruh yang positif dan signifikan advertising terhadap brand image, (5) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap brand image, (6) Terdapat pengaruh yang positif dan signifikan advertising terhadap keputusan pembelian melalui brand image, (7) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap keputusan pembelian melalui brand image.

The Measurement Structure of School Engagement Among Youth in China: An Exploratory Structural Equation Modeling Study

2017 ◽  
Vol 37 (3) ◽  
pp. 280-292
Author(s):  
Jingtong Pan ◽  
Jonathan F. Zaff
Keyword(s):  
Structural Equation Modeling ◽  
School Engagement ◽  
Structural Equation ◽  
Measurement Model ◽  
Female Students ◽  
Emotional Engagement ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Current Sample ◽  
11Th Grade

In this research, we examined the construct of a school engagement scale using exploratory structural equation modeling (ESEM). This study involved a translated measurement model that was originally developed by Li and Lerner for U.S. youth, and data from a sample of eighth-, ninth-, and 11th-grade Chinese adolescents ( N = 364). First, the results indicated that instead of the three factors (cognitive, emotional, and behavioral engagement) that have been found in previous research on school engagement, four factors emerged for the current sample: school compliance, participation, emotional engagement, and cognitive engagement. Second, the factor structure was gender invariant in the ESEM framework. We further found that female students scored higher than males on school compliance and emotional engagement. Third, the convergent correlations among school engagement subscales and academic performance were in line with theoretical expectations. Finally, based on the differences between this study and previous studies in Western countries, the need for a more thorough investigation in the conceptualization and measurement of school engagement among youth in China was discussed.

EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

2019 ◽  
Author(s):  
Lay Yoon Fah ◽  
◽  
Ng Khar Thoe ◽  
Khoo Chwee Hoon ◽  
Chan Sane Hwui ◽  
...  
Keyword(s):  
Science Education ◽  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Secondary Students ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Validity And Reliability

This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach’s Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. Keywords: affective factor, PLS-SEM, science and technology, relevance of science education (ROSE).

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