scholarly journals Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Amit Kumar Adhikari ◽  
Tamal Basu Roy
Keyword(s):  
Factor Analysis ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
High Reliability ◽  
Urban Expansion ◽  
Sampling Technique ◽  
Economic Factor ◽  
Analytical Framework ◽  
Urban Life ◽  
Peripheral Areas

AbstractUnited Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability.

Psychometric Properties of the Coping Behavior Inventory Among Students of Arabic Universities

2018 ◽  
Vol 26 (1) ◽  
pp. 176-185
Author(s):  
Muayyad M. Ahmad ◽  
Abdulkarim Alzayyat ◽  
Ekhlas Al-Gamal
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Coping Behavior ◽  
Sampling Technique ◽  
Total Sample ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Arab Students ◽  
The University

Purpose:To examine the psychometric properties of the Coping Behavior Inventory (CBI) among Arab students in Jordanian universities.Methods:A stratified random sampling technique was used to select the universities and classes from each university. The total sample size was 587 students recruited from seven universities during the academic year 2015. The structure of the CBI was analyzed by exploratory factor analysis (EFA) using Statistical Package for Social Science and confirmatory factor analysis (CFA) using AMOS software. EFA for the original CBI showed poor factors structure with low reliabilities.Results:EFA and CFA revealed the modified 15-item and 3-factor scale (Problem Solving, Avoidance, Stay Optimistic), with high goodness of fit indices and strong items loading.Conclusion:The use of the modified version of CBI with students at the university level is recommended.

scholarly journals Servicescape and Group References in Determining Hedonic Value and Its Implication on Impulsive Buying

2020 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
Aa Willy Nugraha ◽  
Yusuf Abdullah
Keyword(s):  
Sample Size ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
Reference Group ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Survey Method ◽  
Determinant Factors ◽  
Hedonic Value ◽  
Impulsive Buying

Consumer decision in purchasing product generally depend on his/her needs. The impulsive buying as the purchasing activity, in contrast, was based on the emotional encouragement. In the other hand, customer got pleasant experiences after purchasing that product spontaneously. That is a hedonic value which is customer circumstances encouraging buying decision. This study objectives were to know whether the servicescape and reference group could be determinant factors of hedonic value and impulsive buying activity in Plaza Asia Tasikmalaya. This study was quantitative research, a statistical datas based, with survey method approach. The data collected was by fulfiling questionnaire by respondent with convenience sampling technique. This sampling technique is a type of no-probability sampling method which the sample method is taken from a group of people easy to contact or reach. The literature studies also applied to enrich the explanation of the variables analyzed. The sample size was 300 visitors of Plaza Asia Tasikmalaya. The sample size was counted by 15 times of the number of observed variables. Then, the data was analyzed directly and indirectly using the Structural Equation Modeling (SEM) technique. This analysis technique was many advantages, were analyzing not only the latent variables but also its observed variables. The analysis was including normality testing, goodness of fit analysis. The result indicated that the determinant factors of hedonic value included servicescape and reference group were affected it signicifantly and had implication on impulse buying. Thus, the hedonic value of consumer in buying product in Plazaz Asia was affected partially and simultaniously by servicescape and reference group.

Multidimensional Assessment of Internet Addiction: Scale Development and Validation

2021 ◽  
pp. 097215092198987
Author(s):  
Neena Sondhi ◽  
Himanshu Joshi
Keyword(s):  
Factor Analysis ◽  
Internet Addiction ◽  
Goodness Of Fit ◽  
High Reliability ◽  
Unique Contribution ◽  
Fit Indices ◽  
Compulsive Disorder ◽  
Internet Users ◽  
Development And Validation ◽  
The Impact

The current study attempts to explore and measure the multidimensional nature of Internet Addiction in India. Based on prior studies and respondent interviews, certain themes were developed. These themes were combined with items from Young’s Internet addiction test (IAT) to propose an initial 25-item questionnaire. The scale was first administered on a sample of 294 urban Indian adults and subjected to an exploratory factor analysis (EFA). This resulted in four factors, namely Internet compulsive disorder (ICD), Internet craving (IC), Internet obsession (IO) and addictive behaviour (AB). Eight items with loadings below 0.5 were removed. The obtained 17-item scale was validated on a new sample of 320 Internet users. Findings from the confirmatory factor analysis (CFA) further confirmed the four-factor structure. The goodness of fit indices were found to be within acceptable limits. The instrument had satisfactory construct validity and high reliability scores. The study makes a unique contribution towards measuring and evaluating Internet addiction as a multidimensional construct and is aimed at enhancing our understanding of the impact of Internet platform on human psychology and behaviours.

scholarly journals Adaptasi dan Validasi Alat Ukur Perilaku Inovatif Karyawan

2020 ◽  
Vol 7 (1) ◽  
pp. 39-48
Author(s):  
Iffah Rosyiana ◽  
Fendy Suhariadi ◽  
Seger Handoyo ◽  
Fajrianthi Fajrianthi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Sample Selection ◽  
Idea Generation ◽  
Sampling Technique ◽  
Measurement Model ◽  
Three Dimensions ◽  
Innovative Behavior ◽  
Confirmatory Factor

The growth of the hotel business is increasing, along with the development of tourism. This condition encourages hoteliers to compete to advance their business with a variety of service innovation processes. Therefore, it is essential to know and identify the innovative behavior of hospitality employees. This study aims to develop innovative employee behavior measurement tools. We used a quantitative study involving 143 sales marketing employees in hospitality as respondents. The sample selection uses a random sampling technique. The development of innovative behavioral questionnaires was revealed through three dimensions, namely the idea generation dimension, idea championing, and idea implementation. Data analysis used confirmatory factor analysis (CFA) with the help of Amos 22 software. The results of the study revealed that the innovative behavior measurement model met the goodness of fit criteria. These findings indicate that innovative behavior can be measured by the dimensions of idea generation, idea championing, and idea implementation. The results of this study also have implications for several hospitality practitioners to evaluate the innovative behavior of hospitality employees. Keywords: innovative behavior, scale adaptation, validity, Confirmatory Factor Analysis

scholarly journals Developing Student Housing Quality Scale in Higher Institutions of Learning: A Factor Analysis Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
F. K. Bondinuba ◽  
S. G. Nimako ◽  
N. K. Karley
Keyword(s):  
Factor Analysis ◽  
Latent Variables ◽  
Service Providers ◽  
High Reliability ◽  
Student Housing ◽  
Housing Quality ◽  
Analysis Approach ◽  
Cross Sectional Survey ◽  
Quality Scale ◽  
Higher Institutions

The researchers developed an instrument for measuring student housing quality (SHQ) in Higher Institutions of Learning (HIL) in Ghana. The paper sought to validate the student housing quality scale (SHOQUAL) through factor analysis approach. 700 respondents were sampled from two public HIL in Ghana in a cross-sectional survey that used a self-administered structured questionnaire for data collection. Confirmatory factor fnalysis (CFA) was conducted to detect the underlying latent variables that significantly determine SHQ in Ghanaian HIL. The findings indicate that four emerged SHQ dimensions relevant to the research context were labelled as follows: core facility quality, enabling facility quality, support facility quality, and cost of housing. The constructs in the derived model possess high reliability and validity. Student housing service providers could conveniently use the derived instrument items for measuring SHQ in HIL. Implications are discussed and limitations are noted. The paper contributes to the literature in the areas of models of service quality in student housing management in HIL.

scholarly journals Construct Validity of the Korean Dental Licensing Examination using Confirmatory Factor Analysis

2005 ◽  
Vol 2 ◽  
pp. 75
Author(s):  
Mi Kyoung Yim ◽  
Yoon Hee Kim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
Measurement Model ◽  
Confirmatory Factor ◽  
Medical Legislation ◽  
Licensing Examination ◽  
The Impact

Confirmatory factor analysis based on a measurement model of a structural equation model was used to test the construct validity of 13 subjects in the Korean Dental Licensing Examination (KDLE). The results of 1,086 examinees who wrote the KDLE in 2004 were analyzed. The thirteen subjects were classified into 62 major categories and 122 intermediate categories. There were 364 items. A hierarchical model was constructed, including major and intermediate categories. The impact of the variables was determined by the standardized regression coefficient that related latent and measured variables in the measurement model. The KDLE showed a high goodness-of-fit with a root mean square error of approximation of 0.030 and a non-normed fit index of 0.998. When the latent variables for the major and intermediate categories were analyzed, the standardized regression coefficients of all of the subjects, with the exception of Health and Medical Legislation, were significant. From the result, we concluded that the 13 subjects showed constructive validity. In addition, the study model and data were very compatible. The subject Health and Medical Legislation had a low explanatory impact with respect to testing the ability of dentists to perform their jobs. This study suggests that similar psychometric studies are needed before integrating or deleting subjects on the KDLE, and to improve item development.

scholarly journals Chinese Version of the Illness Cognition Questionnaire-Parent ICQ-P(C): Psychometric Properties of Parents of Chinese Children with Cancer

2020 ◽  
Author(s):  
jing han ◽  
Li Zhang ◽  
JiZhao Gao ◽  
Feng Yang ◽  
Yao Zhang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
High Reliability ◽  
Chinese Version ◽  
Entire Family ◽  
Illness Cognition ◽  
Fit Index ◽  
Parental Cognition

Abstract Background：Parental cognition of a child’s illness influences the psychological adjustment of the entire family and the child’s quality of life. This cross-sectional study aimed to translate the Illness Cognition Questionnaire-Parent version (ICQ-P) into Chinese and to evaluate its psychometric properties. Methods The translation process was complied with international recommendations. Using a convenient sampling method, 334 parents of cancer children completed the 18-item ICQ-P online. The psychometric properties of the scale were evaluated using Principle Component Analysis (PCA) with Promax with Kaiser Normalization. Confirmatory Factor Analysis (CFA) was used to confirm the factor structure using Chi-squared/Degrees of freedom (χ2/df), Goodness-of-Fit Index (GFI), incremental fit index (IFI); Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA). Cronbach’s α was calculated for the final scale version, revealing adequate internal consistency.Results: Using Exploratory Factor Analysis (EFA), we found that the Chinese version of the ICQ-P (ICQ-P[C]) had 18-item, three-factor structure (six items each, factor loadings >0.5) which explained 56.39% of total variance. Based on the structure matrix, three factors were labeled “Helplessness,” “Acceptance,” and “Perceived benefits.” After addressing some errors in covariances, χ2/df =1.890 CFI=0.931, IFI=0.933, GFI=0.884, RMSEA=0.060. The standardized coefficients of factors 1, 2, and 3, ranged from 0.50 to 0.84, (p<0.001). The final scale showed moderate-to-high reliability scores (Factor 1 α=0.819; Factor 2 α=0.835; Factor 3 α=0.802; Overall α=0.868).Conclusions: The ICQ-P is a reliable tool to measure parental cognition of a child’s illness, especially cancer. It may help medical staff to identify parents with difficulty understanding these illnesses.

scholarly journals Thai undergraduate digital citizenship skills education: A second-order confirmatory factor analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 370-385
Author(s):  
Prarichart Ruenphongphun ◽  
Aukkapong Sukkamart ◽  
Paitoon Pimdee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
Second Order ◽  
Digital Citizenship ◽  
Education Student ◽  
Confirmatory Factor ◽  
Citizenship Skills ◽  
Skills Education

From the study’s initial qualitative analysis, 10 latent variables and 22 indicators concerning digital citizenship skills (DCS) were used in a questionnaire on a sample of 506 Thai Business Computer Programme undergraduate students attending one of six regional Thai Rajabhat Universities. Goodness-of-fit and descriptive statistical analysis [mean, standard deviation, Kaiser–Meyer–Olkin index analysis and Bartlett’s test of sphericity were analysed by using SPSS® for Windows Version 21 and LISREL 9.10 for the second-order confirmatory factor analysis CFA. The results revealed that each student’s opinion on their DCSs had a ‘high agreement’ level. Moreover, importance ranking from high to low of the 10 primary indicators was each student’s footprint (1.00), cyberbullying (1.00), law (0.97), access (0.88), security (0.84), literacy (0.83), empathy (0.81), etiquette (0.80), collaboration (0.70) and thinking (0.65). Therefore, it is suggested that this study’s results be used to assist various agencies and ministries in building programmes for student digital citizenship skills.   Keywords: Digital skills education; student cyberbullying; student digital footprints; teaching digital literacy; Thailand

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

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