Results 111 to 120 of about 42,201,288 (339)

Fit Indices in Structural Equation Modeling and Confirmatory Factor Analysis: Reporting Guidelines

Asian Journal of Economics Business and Accounting
This research explores the essential aspects of reporting fit indices in Structural Equation Modeling (SEM), focusing on their significance, methodologies for evaluation, and implications for model validity.
Sathyanarayana S, T. Mohanasundaram
semanticscholar   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Understanding the Model Size Effect on SEM Fit Indices

Educational and Psychological Measurement, 2018
This study investigated the effect the number of observed variables (p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker–Lewis index (TLI), and the root mean square error of approximation (RMSEA).
De-Xin Shi, Taehun Lee, Albert Maydeu-Olivares   +2 more
semanticscholar   +1 more source

Goodness of model fit.

, 2015
CMIN/DF—chi square/degree of freedom ratio; CFI–Confirmatory Fit Index; RMSEA–the Root Mean Square Error of Approximation; PCLOSE—the p-value for a test of close fit.Goodness of model fit.
Audax Z. P. Mabulla (148549), Vasiliy A. Vasilyev (785362), Oleg E. Lazebny (533615), Bernhard Fink (662541), Alexey P. Ryskov (533617), Marina L. Butovskaya (785361), Dmitri V. Karelin (785364), Todd K. Shackelford (785366), Daria A. Dronova (785363), Dmitri V. Shibalev (785365)   +9 more
core   +1 more source

Measurement model fit indices.

, 2023
Measurement model fit indices.
Hamzeh Almomani (14486128), Zaid Mohammad Obeidat (14486130), Barween Al Kurdi (14486126), Muhammad Turki Alshurideh (14486124), Ra’ed Masa’deh (14486132)   +4 more
core   +1 more source

Effect of DFPP on Ferroptosis in Peripheral Blood CD14+ Monocytes of Hyperlipidemic Patients Involving the ACSL4/LPCAT3/ALOX5 Pathway

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng, Lan Li, Qingmei Yang, Meipeng Wu   +3 more
wiley   +1 more source

Predicting Measurement Model Misfit With Machine Learning While Accounting for Nuisance Parameters – An Illustration

Psychological Test Adaptation and Development
: Developing valid measurement models for latent variables, such as personality traits, is essential for accurate psychological assessment. A critical aspect of this process is evaluating the fit of psychometric models.
David Goretzko, Melanie Viola Partsch
doaj   +1 more source

Hyperbolic effort model fit.

, 2021
Hyperbolic effort model fit.
Hans-Peter Kubis (3352736), Tamam A. Albelwi (11529889), Robert D. Rogers (2592349)   +2 more
core   +1 more source

The Impact of Tenapanor on Body Composition and Blood Pressure in Peritoneal Dialysis Patients: A Pilot Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida, Kengo Asahina, Keiichi Osano, Natsumi Saegusa, Kohei Yamamura, Kie Ohkoshi, Miho Shikata, Toshihisa Ishii, Makiko Konishi, Kazuya Takahashi, Kohei Uchimura, Ayumu Nakashima   +11 more
wiley   +1 more source

Model-fitting in the presence of outliers [PDF]

2011 IEEE International Symposium on Information Theory Proceedings, 2011
We study the problem of parametric model-fitting in a finite alphabet setting. We characterize the weak convergence of the goodness-of-fit statistic with respect to an exponential family when the observations are drawn from some alternate distribution. We then study the effects of outliers on the model-fitting procedure by specializing our results to ∈-
openaire   +3 more sources