STUDENT’S ICT USE MOTIVES

2021 ◽  
Vol 11 (4) ◽  
pp. 0-0
Keyword(s):  
University Students ◽  
Psychometric Properties ◽  
Digital Divide ◽  
Learned Helplessness ◽  
Literature Survey ◽  
Comprehensive Understanding ◽  
Mood Management ◽  
Ict Use ◽  
Using Data ◽  
Moderate Positive Correlation

Research on the second-level digital divide suggests that motivational factors are crucial for its comprehensive understanding. However, the literature survey indicates a lack of research on ICT usage motives and their relation with student alienation. Using data from an offline survey on university students, this study establishes psychometric properties of student's ICT usage motive scale in the Kashmiri context. Based on SCT theory, the scale distinguishing between three underlying ICT usage motives: socialising, Instrumental and mood management, with the latter two motives negatively correlated with each other. Further analysis shows that instrumental motive reflected a moderate negatively correlation with learned helplessness (LH), learning disinterest (LD) and learning discouragement (LDC) dimensions of student alienation. Socialising motive showed a moderate positive correlation with classroom isolation (CIS). CFA (n= 575) model showed the least metric invariance with regard to gender and residential background.

scholarly journals Psychological Morbidity among University Students in Hong Kong (2014–2018): Psychometric Properties of the Depression Anxiety Stress Scales (DASS) and Related Correlates

2021 ◽  
Vol 18 (16) ◽  
pp. 8305
Author(s):  
Xiang Li ◽  
Daniel T. L. Shek ◽  
Esther Y. W. Shek
Keyword(s):  
Life Satisfaction ◽  
Hong Kong ◽  
University Students ◽  
Psychometric Properties ◽  
Youth Development ◽  
Positive Youth Development ◽  
Mental Health Problems ◽  
Factor Model ◽  
Well Being ◽  
Psychological Morbidity

Although mental health problems among Hong Kong university students are serious, there is a lack of studies examining the psychometric properties of related assessment scales and correlates. This study attempted to validate the Depression Anxiety Stress Scales (DASS) in Hong Kong university students and examine the demographic (gender), time (cohort), and well-being correlates (positive youth development attributes and life satisfaction) of psychological morbidity. Confirmatory factor analysis (CFA) was used to examine the factor structure of the DASS (n = 6704). Gender and cohort invariance were further established using a multigroup CFA. The three-factor model of the DASS showed a superior fit and factorial invariance across gender and five different cohorts. Regarding gender and cohort correlates of psychological morbidity, males exhibited more depression, anxiety, and stress symptoms than their female counterparts. The intensity of psychological distress also escalated after the Umbrella Movement in 2014. Furthermore, well-being measures (positive youth development and life satisfaction) were negatively associated with depression, anxiety, and stress. In short, the Chinese DASS demonstrated good psychometric properties. This study also showed that gender, cohort (occurrence of political events), and well-being were associated with psychological morbidity indexed by the DASS measures.

scholarly journals Psychometric Properties of the Affective Dimension of the Generic Macro-Competence Assessment Scale: Analysis Using Rasch Model

2021 ◽  
Vol 13 (12) ◽  
pp. 6904
Author(s):  
Francisco Manuel Morales-Rodríguez ◽  
Manuel Martí-Vilar ◽  
Manuel Alejandro Narváez Peláez ◽  
José Miguel Giménez Lozano ◽  
Juan Pedro Martínez Ramón ◽  
...  
Keyword(s):  
Sustainable Development ◽  
University Students ◽  
Psychometric Properties ◽  
Rasch Model ◽  
Measurement Model ◽  
Competence Assessment ◽  
Development Education ◽  
Affective Dimension ◽  
Affective Factors ◽  
Responsible Behaviors

The study of the affective dimension of transversal competences is essential for the development of responsible behaviors and maintaining attitudes committed to sustainable development. The importance attributed to each of these factors can predict behavior implementation and awareness of values for sustainable development that reflect the acquisition and internalization of sustainability-related generic competences. This study aimed to determine the psychometric properties of the affective dimension of the Generic Macro-Competence Assessment (AGMA) scale by applying Rasch measurement model to a sample of Spanish university students, comprising 387 Spanish university students (74.9% women; mean age = 21.24; WD = 3.54; range: 17–34). Results demonstrated a lack of adjustment to the Rasch model due to item 1, and all items showed disordered response category thresholds. The remaining nine-item scale achieved all requirements of the model (χ2 = 61.46; p = 0.052), including unidimensionality. Thus, the scale’s psychometric properties indicate an easy-to-apply instrument for screening these factors for coping strategies in undergraduate and graduate Spanish students. The results can help in justifying the design of interdisciplinary intervention programs, in which affective factors are essential for sustainable development education.

The Global Digital Divide

2018 ◽  
Vol 26 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Frederico Cruz-Jesus ◽  
Tiago Oliveira ◽  
Fernando Bacao
Keyword(s):  
European Union ◽  
Regression Analysis ◽  
Digital Divide ◽  
English Language ◽  
The European Union ◽  
Digital Development ◽  
Global Digital Divide ◽  
Using Data ◽  
India And China

This article presents an analysis of the global digital divide, based on data collected from 45 countries, including the ones belonging to the European Union, OECD, Brazil, Russia, India, and China (BRIC). The analysis shows that one factor can explain a large part of the variation in the seven ICT variables used to measure the digital development of countries. This measure is then used with additional variables, which are hypothesised as drivers of the divide for a regression analysis using data from 2015, 2013, and 2011, which reveals economic and educational imbalances between countries, along with some aspects of geography, as drivers of the digital divide. Contrary to the authors' expectations, the English language is not a driver.

Development and psychometric evaluation of the Thirst Distress Scale for patients with heart failure

2017 ◽  
Vol 17 (3) ◽  
pp. 226-234 ◽  
Author(s):  
Nana Waldréus ◽  
Tiny Jaarsma ◽  
Martje HL van der Wal ◽  
Naoko P Kato
Keyword(s):  
Heart Failure ◽  
Psychometric Properties ◽  
Intraclass Correlation ◽  
Psychometric Testing ◽  
Psychometric Evaluation ◽  
Weighted Kappa ◽  
Patients With Heart Failure ◽  
Using Data ◽  
Test Retest Reliability ◽  
Distress Scale

Background: Patients with heart failure can experience thirst distress. However, there is no instrument to measure this in patients with heart failure. The aim of the present study was to develop the Thirst Distress Scale for patients with Heart Failure (TDS-HF) and to evaluate psychometric properties of the scale. Methods and results: The TDS-HF was developed to measure thirst distress in patients with heart failure. Face and content validity was confirmed using expert panels including patients and healthcare professionals. Data on the TDS-HF was collected from patients with heart failure at outpatient heart failure clinics and hospitals in Sweden, the Netherlands and Japan. Psychometric properties were evaluated using data from 256 heart failure patients (age 72±11 years). Concurrent validity of the scale was assessed using a thirst intensity visual analogue scale. Patients did not have any difficulties answering the questions, and time taken to answer the questions was about five minutes. Factor analysis of the scale showed one factor. After psychometric testing, one item was deleted. For the eight item TDS-HF, a single factor explained 61% of the variance and Cronbach’s alpha was 0.90. The eight item TDS-HF was significantly associated with the thirst intensity score ( r=0.55, p<0.001). Regarding test-retest reliability, the intraclass correlation coefficient was 0.88, and the weighted kappa values ranged from 0.29–0.60. Conclusion: The eight-item TDS-HF is valid and reliable for measuring thirst distress in patients with heart failure.

The digital divide in individual e-commerce utilization in China

2012 ◽  
Vol 29 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Shizhan Zhu ◽  
Juan Chen
Keyword(s):  
Digital Divide ◽  
The Internet ◽  
Digital Inequality ◽  
Urban Inequality ◽  
First Order ◽  
Gender Education ◽  
Residency Status ◽  
Logistic Regressions ◽  
Using Data ◽  
And Migration

Using data from a national survey with 1,288 respondents, this study investigates the socio-demographic determinants of the first-order digital divide (access to the Internet) and the second-order digital divide (e-commerce use) in China. The survey employed spatial probability sampling technology so it would encompass migrants as well as registered residents. Multiple logistic regressions were applied to model the associations between access to the Internet/e-commerce use and demographic characteristics, socio-economic attributes, and migration and residency status. The results demonstrate the significant effects of rural-urban inequality and socio-economic divisions in Internet access. Age, gender, education, and residency were identified as significant predictors for individual e-commerce use. The findings provide helpful information for enterprises wishing to broaden their business horizons. The research can also be used in designing effective policies to reduce China’s digital inequality.

scholarly journals Psychometric properties of the stress control mindset measure in university students from Australia and the UK

2020 ◽  
Author(s):  
Jacob J. Keech ◽  
Sheina Orbell ◽  
Martin S. Hagger ◽  
Frances V. O’Callaghan ◽  
Kyra Hamilton
Keyword(s):  
University Students ◽  
Psychometric Properties ◽  
Stress Control ◽  
The Uk

scholarly journals The Psychometric Properties of the Korean Version of the Verbal Abuse Questionnaire in University Students

2015 ◽  
Vol 12 (2) ◽  
pp. 190 ◽  
Author(s):  
Bumseok Jeong ◽  
Sang Won Lee ◽  
Jong-Sun Lee ◽  
Jae Hyun Yoo ◽  
Ko Woon Kim ◽  
...  
Keyword(s):  
University Students ◽  
Psychometric Properties ◽  
Verbal Abuse ◽  
Korean Version

scholarly journals Psychometric properties of the Adelaide Diagnostic Learning Inventory - Brief (ADLIB)

2019 ◽  
Author(s):  
Harry Minas
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
University Students ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Life Stress ◽  
Large Scale ◽  
Well Being ◽  
Factor Congruence ◽  
Order Of Magnitude

Abstract Objective: There has been increased attention in recent years to mental health, quality of life, stress and academic performance among university students, and the possible influence of learning styles. Brief reliable questionnaires are useful in large-scale multivariate research designs, such as the largely survey-based research on well-being and academic performance of university students. The objective of this study was to examine the psychometric properties of a briefer version of the 39-item Adelaide Diagnostic Learning Inventory. Results: In two survey samples - medical and physiotherapy students - a 21-item version Adelaide Diagnostic Learning Inventory - Brief (ADLIB) was shown to have the same factor structure as the parent instrument, and the factor structure of the brief instrument was found to generalise across students of medicine and physiotherapy. Sub-scale reliability estimations were in the order of magnitude of the parent instrument. Sub-scale inter-correlations, inter-factor congruence coefficients, and correlations between ADLIB sub-scale scores and several external measures provide support support for the construct and criterion validity of the instrument.

scholarly journals The value of university internships

2021 ◽  
Vol 40 ◽  
pp. 127-148
Author(s):  
Sandra Fachelli ◽  
Eric Fernández-Toboso
Keyword(s):  
Logistic Regression ◽  
University Students ◽  
Labour Market ◽  
Binary Logistic Regression ◽  
Regression Technique ◽  
Job Placement ◽  
Bivariate Analysis ◽  
University Graduates ◽  
Using Data

Universities place particular importance on their internship projects for university students. The purpose of this study is to identify if the internships have an impact on the students’ entry to the labour market. The methodology used is based on the bivariate analysis and the multiple binary logistic regression technique, using data from the 2014 Survey on the Labour Insertion of University Graduates (EILU), carried out by the INE. The sample used comprises 30,379 graduates and in the internships section, 21,622 university graduates. The results obtained confi rm that internships are a tool for job placement.

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