Notes for Discussion of Structural Equation Modeling

秀樹, 豊田

doi:10.2333/jbhmk.29.135

Cited by 20 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, each model has as many as 40 observable variables; thus, the degree of freedom has increased, and the conformity between the model and the data has declined. Toyoda [18] argued that "the value of GFI should be considered important only if the number of observable variables is up to 30". The root mean square error of approximation (RMSEA) of each model is less than 0.1, falling within the allowable range.…”

Section: Resultsmentioning

confidence: 99%

Clarification of Public Transport Usage Conditions in Ahmedabad, India

Hiraide

Kawasaki

Hanaoka

2018

WIT Transactions on the Built Environment

View full text Add to dashboard Cite

Ahmedabad, India, has serious traffic congestion problems in peak periods. This is mainly due to the use of cars and motorcycles. The usage of public transport, consisting of a bus system called "AMTS" and a rapid transit bus called "BRTS", represented only a 12% modal share in Ahmedabad in 2011. This study explores the conditions underlying the non-use of public transport and its feeders among car and motorcycle owners in Ahmedabad. We conducted a household questionnaire survey that gathers respondents' subjective impressions of public transport and its feeder services in the suburban areas of Ahmedabad in December 2017. A Transport Unacceptance Model is developed based on the Technology Acceptance Model 2 using structural equation modelling based on the collected samples. We reveal that the "no advantage to use" among the owners of cars and motorcycles has the highest effect on the non-use of AMTS among the latent variables, followed by "burden to use". The observed variables "effort to transfer" and "effort of route choice" significantly affect the "burden to use" latent variable. "Burden to use" regarding auto-rickshaws has a relatively strong effect on the non-use of AMTS. This implies that improving feeder services (i.e. the connectivity between auto-rickshaws and AMTS) is important for enhancing the use of AMTS. As for BRTS, "burden to use public transport (i.e. ticketing system)" and "auto-rickshaw" have the strongest effects among the latent variables. Several negative impressions of auto-rickshaws as a feeder service are observed in both AMTS and BRTS. Particularly, subjective norms such as "family and friends do not use auto-rickshaw" are influential on the non-use of public transport.

show abstract

Section: Resultsmentioning

confidence: 99%

Clarification of Public Transport Usage Conditions in Ahmedabad, India

Hiraide

Kawasaki

Hanaoka

2018

WIT Transactions on the Built Environment

View full text Add to dashboard Cite

show abstract

“…The results of a confirmatory factor analysis for KSS‐J‐1 showed that the model fit indicators were weak, except for RMSEA (CFI = 0.66, TLI = 0.63, and RMSEA = 0.097). It is noted that RMSEA is superior to other model fit indicators when the confirmatory factor analysis includes many observed variables; a criterion of an acceptable RMSEA value was <0.10 . Therefore, the model fit of the Japanese version of KSS (KSS‐J‐1) may not be extremely poor when taking into account the number of items in this scale (28 items).…”

Section: Discussionmentioning

confidence: 99%

Development of Japanese version of King's Stigma Scale and its short version: Psychometric properties of a self‐stigma measure

Mizuno

Yamaguchi

Taneda

et al. 2016

Psychiatry Clin Neurosci

View full text Add to dashboard Cite

show abstract

“…Although statistical indicators give some clues to assess the appropriateness of the model, we believe that too much dependence on these objective criteria undervalues the importance of careful observation and abstraction of constructs (Toyoda, 2002). Our model was derived from multiple interviews of practitioners in a real world setting and qualitative analysis based on the established method.…”

Section: Factorial Validity and Internal Consistency Of The 25-item Imentioning

confidence: 99%

Testing the Validity and Reliability of a Newly Developed Instrument to Assess the Subjective Needs of Institutionalized Elderly

Ohura

Higashi

Ishizaki³

et al. 2015

Clinical Gerontologist

View full text Add to dashboard Cite

This study aimed to examine the validity and reliability of an instrument designed to assess the needs of institutionalized elderly. The instrument comprised 25 items covering 4 domains: basic activities of daily living, instrumental activities of daily living, environment and lifestyle, and emotion. These items were extracted from interviews with care providers of institutionalized elderly individuals. Confirmatory factor analysis showed that the model was validated ( n =120, χ 2 /df = 1.090, RMSEA = 0.03) and all standardized path coefficients ranged from .28 to .87. Internal consistency was high for each domain (Cronbach's alpha, .79 to .85). The reproducibility test ( n = 18) showed that 14 of 25 items showed weighted kappa coefficients ≥ .60 (i.e., substantial agreement). Therefore, we conclude that the present instrument was satisfactorily valid and reliable.

show abstract

Notes for Discussion of Structural Equation Modeling

Cited by 20 publications

References 3 publications

Clarification of Public Transport Usage Conditions in Ahmedabad, India

Clarification of Public Transport Usage Conditions in Ahmedabad, India

Development of Japanese version of King's Stigma Scale and its short version: Psychometric properties of a self‐stigma measure

Testing the Validity and Reliability of a Newly Developed Instrument to Assess the Subjective Needs of Institutionalized Elderly

Contact Info

Product

Resources

About