Tests Of Model Fit Research Articles

Validation of the FACT-G7 in patients with hematologic malignancies.

It is essential to evaluate the quality of life in patients with hematologic malignancies to reflect the therapeutic effect and prognosis, but lengthy assessments are often burdensome. The 7-Item Functional Assessment of Cancer Therapy-General (FACT-G7) is a brief, easy, and rapid index for evaluating quality of life. Nevertheless, there is no report about its application in Chinese patients with hematologic malignancies. The purpose of this study was to validate the Chinese version of the FACT-G7 for patients with hematologic malignancies. This study is a cross-sectional study. A total of 855 patients with hematologic malignancies completed the Functional Assessment of Cancer Therapy-General (FACT-G) and were scored the Eastern Cooperative Oncology Group Performance Status (ECOG-PS) by nurses. Cronbach's alpha, confirmatory factor analyses, Pearson's correlation, and one-way analysis of variance were conducted to evaluate internal consistent reliability, structural validity and concurrent validity. The FACT-G7 showed acceptable internal consistency, as indicated by a Cronbach's alpha of 0.73. The confirmatory factor analyses test for single-factor model fit for the FACT-G7 scale was almost adequate. The satisfactory correlations between the FACT-G7 and the FACT-G and its subscales, and ECOG-PS groups differed in FACT-G7 scores demonstrating concurrent validity. This study suggested that the Chinese version of the FACT-G7 provides a useful and rapid measure for assessing quality of life in Chinese patients with hematologic malignancies, which providing a reference for further evaluation and care.

Electronic health record-based readmission risk model performance for patients undergoing outpatient parenteral antibiotic therapy (OPAT).

Outpatient Parenteral Antibiotic Therapy (OPAT) provides coordinated services to deliver parenteral antibiotics outside of the acute care setting. However, the reduction in monitoring and supervision may impact the risks of readmission to the hospital. While identifying those at greatest risk of hospital readmission through use of computer decision support systems could aid in its prevention, validation of such tools in this patient population is lacking. The primary aim of this study is to determine the ability of the electronic health record-embedded EPIC Unplanned Readmission Model 1 to predict all-cause 30-day hospital unplanned readmissions in discharged patients receiving OPAT through the Duke University Heath System (DUHS) OPAT program. We then explored the impact of OPAT-specific variables on model performance. This retrospective cohort study included patients ≥ 18 years of age discharged to home or skilled nursing facility between July 1, 2019 -February 1, 2020 with OPAT care initiated inpatient and coordinated by the DUHS OPAT program and with at least one Epic readmission score during the index hospitalization. Those with a planned duration of OPAT < 7 days, receiving OPAT administered in a long-term acute care facility (LTAC), or ongoing renal replacement therapy were excluded. The relationship between the primary outcome (unplanned readmission during 30-day post-index discharge) and Epic readmission scores during the index admission (discharge and maximum) was examined using multivariable logistic regression models adjusted for additional predictors. The performance of the models was assessed with the scaled Brier score for overall model performance, the area under the receiver operating characteristics curve (C-index) for discrimination ability, calibration plot for calibration, and Hosmer-Lemeshow goodness-of-fit test for model fit. The models incorporating maximum or discharge Epic readmission scores showed poor discrimination ability (C-index 0.51, 95% CI 0.45 to 0.58 for both models) in predicting 30-day unplanned readmission in the Duke OPAT cohort. Incorporating additional OPAT-specific variables did not improve the discrimination ability (C-index 0.55, 95% CI 0.49 to 0.62 for the max score; 0.56, 95% CI 0.49 to 0.62 for the discharge score). Although models for predicting 30-day unplanned OPAT-related readmission performed slightly better, discrimination ability was still poor (C-index 0.54, 95% CI 0.45 to 0.62 for both models). EPIC Unplanned Readmission Model 1 scores were not useful in predicting either all-cause or OPAT-related 30-day unplanned readmission in the DUHS OPAT cohort. Further research is required to assess other predictors that can distinguish patients with higher risks of 30-day unplanned readmission in the DUHS OPAT patients.

Chronic stress in old age: Psychometric properties of the Trier Inventory of Chronic Stress (TICS), based on a general population sample aged 60 and over

BackgroundChronic stress results from an imbalance of personal traits, resources and the demands placed upon an individual by social and occupational situations. This chronic stress can be measured using the Trier Inventory for Chronic Stress (TICS). The aims of the present study are to test the factorial structure of the TICS in a sample of elderly people, report its psychometric properties, and give norm values for elderly individuals. MethodsThe TICS was answered by N = 790 healthy participants aged 60 to 99 years. The sample was selected by random-route sampling. Confirmatory factor analyses applying Robust Maximum Likelihood estimations (MLM) tested model fit and factorial structure. Reliability estimations and norm values are reported. ResultsConfirmatory factor analyses replicate the reported nine-factor as well as the higher-order two-factor solution. Additionally, a general one-factor model was identified. All models provide acceptable model fit, with model comparison fit statistics corroborating the superiority of the nine-factor model. Reliability coefficients were good to very good. ConclusionThe TICS can now also be used reliably in samples with elderly people. Its proposed nine-factor structure could be factorially validated and results in good scale reliability. Norm values for an elderly sample are now available.

PENGARUH PERCEIVED OF BENEFIT DAN E-TRUST TERHADAP MINAT MENGGUNAKAN QRIS

This study aims to examine whether there is an influence between perceived benefits and e-trust on the intention to use QRIS. The data collection technique in this study was by using non-probability sampling with the method of determining the sample, namely judgment sampling or purposive sampling techniques. The number of respondents in this research are 155 respondents. Furthermore, the collected data has been tested for construct validity and reliability and processed using SEM (Structural Equation Modeling) analysis. To test the construct validity of exogenous variables, researchers use the value of the loading factor. As for the reliability test, the researcher used the Cronbach Alpha value. Researchers have also conducted a model fit test to ensure that the research model used is included in the very good category (fit). The results of this study indicate that perceived benefit and e-trust have a positive and significant effect on interest in using QRIS. The results of this study also show that the millennial generation can accept new innovations created by digital payment applications.

Using stochastic frontier analysis instead of data envelopment analysis in modelling investment performance

AbstractWe introduce methods to apply stochastic frontier analysis (SFA) to financial assets as an alternative to data envelopment analysis, because SFA allows us to fit a frontier with noisy data. In contrast to conventional SFA, we wish to deal with estimation risk, heteroscedasticity in noise and inefficiency terms. We investigate measurement error in the risk and return measures using a simulation–extrapolation method and develop residual plots to test model fit. We find that shrinkage estimators for estimation risk makes a striking difference to model fit, dealing with measurement error only improves confidence in the model, and the residual plots are vital for establishing model fit. The methods are important because they allow us to fit a frontier under the assumption that the risks and returns are not known exactly.

Financial Ratios and Corporate Governance's Impact on Financial Performance in the Indonesian Stock Market: The Case in Manufacturing Industry

Aims: Here to determine how financial ratios in this case, liquidity and leverage ratios along with an examination of corporate governance in this case, institutional and management ownership affect the company's financial performance.&#x0D; Study Design: The population of the study consists of 194 manufacturing-related companies listed on the Indonesia Stock Exchange (IDX) for the 2019–2021 period. The data for this study came from the company's annual report.&#x0D; Methodology: The method used to gather the data was purposeful sampling. For this inquiry, 36 businesses served as samples. The conventional assumption test, multiple regression analysis, model fit test, and hypothesis testing are tested using the analytical tool Eviews 12.&#x0D; Results: Given that managerial ownership, institutional ownership, and liquidity ratios are the variables affecting the company's financial performance, the analysis' findings show that only one hypothesis—the impact of the leverage ratio on the company's financial performance—is supported, whereas H2, H3, and H4 are not.

Komunikasi Interpersonal dan Motivasi Terhadap Kinerja Karyawan

This study analyzed the effect of interpersonal communication and motivation on team member performance. The sample of this research is PT Soka Cipta Niaga Bandung. The research method used is descriptive and verification methods. Data was collected using a questionnaire in the form of Google Forms. The sample in this study was 62 respondents. Data processing was carried out using multiple linear regression analysis, model fit test, and hypothesis testing with the T-test, and data processing assisted with SPSS software tools version 27.0. The findings of this study prove and provide results that Interpersonal Communication has a positive and significant effect on team member performance, and motivation has no positive or significant impact on team member performance. In conclusion, there is an influence of interpersonal communication and motivation on team member performance&#x0D; Keywords: Interpersonal Communication, Employee Performance, Motivation

THE EFFECT OF COMMUNICATION AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE AT PT POS INDONESIA REGIONAL 3 BANDUNG

Communication is in everyone's interest to socialize with other people. Someone will find it difficult to connect with other people without communication between everyone. The purpose of this study was to analyze the effect of communication and work environment on employee performance at PT Pos Indonesia Regional 3 Bandung. The research method used is descriptive and verification method. Data collection was carried out using questionnaires and interviews. The sample in this study were 84 respondents. Data processing was carried out using multiple linear regression analysis, model fit test, and hypothesis testing with the T-test and data processing assisted with SPSS software tools. The findings of this study prove and provide results that communication has a positive and significant effect on employee performance, the work environment has a positive and significant effect on employee performance and communication and work environment have a positive and significant effect on employee performance.

Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale

Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM frameworks using multi-occasion data from the Rosenberg Self-Esteem Scale. We show how GT-SEMs can reproduce variance components for both relative and absolute error obtained from ANOVA models, estimate effects of changes made to measurement procedures and universes of generalization, incorporate estimation methods to correct for scale coarseness, represent essential tau-equivalent or congeneric relationships, include additional method factors for negatively and positively worded items, incorporate bifactor designs, allow for formal tests of model fit when warranted, and derive Monte Carlo confidence intervals for key parameters of interest. We provide code for conducting the demonstrated analyses using several statistical packages in extended online Supplemental Material.

Pengaruh Perencanaan Pajak, Beban Pajak Tangguhan dan Strategi Bisnis Terhadap Manajemen Laba

This study aims to empirically prove the effect of Tax Planning, Deferred Tax Expenses, and Business Strategy on Profit Management.The type of research used is quantitative with associative methods. The type of data used is secondary data in the form of annual financial reports published on the Indonesia Stock Exchange (IDX) in 2017-2021.The population of this research is the sector of food and beverage companies with the sample collection using purposive sampling.The number of companies used as samples in this study were 19 (nineteen) companies with a research period of 5 (five) years, so that 95 observation data were obtained. However, there were 10 (ten) observation data outliers, so that 85 observation data were obtained. Data processing was carried out using the Microsoft Excel Program and the E-Views 12 Statistics Program by collecting related data and then analyzing descriptive statistics, panel data regression models, model fit tests, classical assumption tests, panel data regression analysis, coefficient of determination R2, statistical t test , and statistical test F. Statistical test results t Business strategy has an effect on Earnings Management. Meanwhile, Tax Planning, Deferred Tax Expenses have no effect on Profit Management. The results of the F statistical test of tax planning, deferred tax expense, and business strategy simultaneously affect Profit Management.

기대불일치이론을 적용한 스쿠버다이빙 참가자의 국내투어 지속의도 및 해외투어 전환의도 예측

Purpose: The purpose of this study is to examine scuba divers’intentions to continue domestic diving tours and switch to overseas tours by utilizing the expectation-disconfirmation theory.BR Method: A total of 239 scuba diving tour participants completed a series of questionnaires related to predetermined expectations, perceived performance, positive expectation disconfirmation, satisfaction, intention to continue domestic diving tour, and switch intention to overseas diving tour. Data collected from the participants were analyzed using model fit testing and structural equation modeling in AMOS 22.0.BR Results: First, the predetermined expectations had a positive (+) influence on perceived performance. Second, the predetermined expectations had no significant influence on positive expectation disconfirmation. Third, the perceived performance and positive expectation disconfirmation had a positive (+) influence on satisfaction. Fourth, the satisfaction had a positive (+) influence on intention to continue domestic diving tour, but it did not have a significant influence on switch intention to overseas diving tour.BR Conclusion: The findings suggest that perceived performance is enhanced by participants’ predetermined expectations of the scuba diving tour, positive expectation disconfirmation is enhanced through perceived performance, and satisfaction is enhanced through perceived performance and positive expectation disconfirmation. In addition, satisfaction improves the intention to continue the domestic diving tour.

Pearson chi-squared and unweighted residual sum of square tests of fit for a probit model

Likewise the logistic model and the probit model is often used to consider the associations between a dichotomous dependent variable and some covariates. The probit model is a model that has a lot of important and engaging applications in practice especially in economics and finance. In the framework paper, we propose the Pearson chi-squared (PSC) and unweighted residual sum of square (URSS) tests of fit for a probit model, to enrich and diversify the topic of goodness of fit (GOF) test for regression models. This is a very interesting topic in theory and has enormous practical applications. Theoretically, we have proved that both the proposed approaches are asymptotic to the standard normal distribution. In terms of numerical research and practical applications, several simulations and a real-life data set a fishing data set are investigated in this work. The obtained results in these parts also help to illustrate numerical that the proposed formulas are very reliable. Besides, the findings in the empirical analysis are very consistent with reality. It will be very meaningful evidence to illustrate to everyone how to fish to get the most amount of fish while fishing. Finally, some discussions, conclusions, and future work are also included in this study.

Pengaruh Kecerdasan Spiritual dan Literasi Keuangan Terhadap Manajemen Keuangan Pribadi

The research aims to find out how student personal financial management is influenced by spiritual intelligence and financial literacy. Purposive sampling technique was used to select the sample for this investigation. Students of the Faculty of Economics and Commerce Muhammadiyah University Purwokerto, Jenderal Soedirman University, and Saiffudin Zuhri State Islamic University Purwokerto became the population of this study. 110 participants sampled for this investigation. Multiple regression analysis, classical assumption test, model fit test, and descriptive statistical analysis were used to evaluate the data. The findings from the results are that financial literacy and spiritual intelligence have a beneficial impact on personal financial management.

Millennials’ Investment Decision in Capital Market Investment With Financial Behavior as An Intervening Variable

This study aims to analyze the influence of financial literacy, financial experience, financial self-efficacy and risk tolerance on investment decisions mediated by financial behavior. The population in this study were local individual investors in the Indonesian Capital Market. Sample selection in this study was carried out using purposive sampling techniques. The sample used in this study was 300 samples. The data analysis techniques used in this study are descriptive statistical analysis, instrument testing, classical assumption test, multiple linear regression analysis, model fit test, and hypothesis test. The results of the study show that financial literacy, financial experience and financial self-efficacy have a positive effect on financial behavior. Risk tolerance does not have a positive impact on financial behavior. Financial literacy, financial self-efficacy, risk tolerance and financial behavior positively influence investment decisions. Financial experience has no positive effect on investment decisions. Financial behavior has proven to be able to mediate the influence of financial literacy, financial experience and financial self-efficacy on investment decisions. Financial behavior has proven unable to mediate the effect of risk tolerance on investment decisions.

PENGARUH KEADILAN ORGANISASI, TRILOGI KEPEMIMPINAN KI HAJAR DEWANTARA TERHADAP MOTIVASI BERPRESTASI MELALUI LINGKUNGAN KERJA FISIK

Teachers must be more than just facilitators in the era of independent learning, they must also be innovators and agents of change. The purpose of this study is the Analysis of the Effects of Organizational Justice, Ki Hajar Dewantara's leadership trilogy on achievement motivation through the physical work environment between public and private school teachers. Methods of data analysis using descriptive and inferential analysis methods. Sampling Technique Simple Random Sampling. Likert Scale Scaling Technique. The analysis used is Patial Least Square, namely variance-based SEM. PLS testing includes: Indicator Tests measured by the criteria: Convergent Validity, Discriminant Validity, and Composite Reliability; and Model Fit Test. The difference test was carried out using an independent sample t-test. Test the hypothesis in the form of an Inner Model or a structural model. The conclusion from this study is that organizational justice has no effect on the achievement motivation of public and private school teachers. Ki Hadjar Dewantara's Leadership Trilogy influences the achievement motivation of Public and Private School Teachers. The physical work environment influences achievement motivation. Organizational justice has no effect on the physical work environment. Ki Hadjar Dewantara's Leadership Trilogy influences the physical work environment. There is no difference in the effect of Organizational Justice, Ki Hajar Dewantara's Leadership Trilogy on Achievement Motivation Through the Physical Work Environment Between Public School Teachers and Private School Teachers

FACTORS INFLUENCING TYPES OF DOMESTIC VIOLENCE WITH MULTINOMIAL LOGISTIC REGRESSION

Domestic Violence is an act of a person against another person which results in physical, sexual, psychological suffering and/or neglect of the household, including coercion and deprivation of liberty as well as threats to commit acts that are against the law within the household sphere. Domestic violence is usually influenced by several factors such as age, education level of the victim, area, place of incident, sex of the perpetrator, the nationality of the perpetrator, the type of relationship between the perpetrator and the victim, family income, and the number of children or dependents. The dense population of Indonesia causes many social problems in society, one of which is domestic violence. Research on domestic violence requires observations with large enough data so that researchers are interested in conducting an analysis using multinomial logistic regression. The data used in this study is secondary data obtained by the Riau Province Child and Women Empowerment Service. This study aims to obtain a general model and determine the indicators of the variables that have a significant effect on domestic violence. The results showed that the education level of the victim, the type of relationship between the perpetrator and the victim, and the number of children were significantly related to domestic violence. Based on the model fit test, the most appropriate model for data on domestic violence is Pearson

The application of structural equation model in psychological research

The application of structural equation model in psychological research

Confirmatory Factor Analyses in Psychological Test Adaptation and Development

Confirmatory Factor Analyses in Psychological Test Adaptation and Development

Pengaruh Kewajiban Kepemilikan NPWP Dan Penagihan Pajak Terhadap Kepatuhan Wajib Pajak Orang Pribadi Dengan Sanksi Perpajakan Sebagai Variabel Moderasi

This study aims to examine the effect of the obligation to own a NPWP and collect taxpayers on individual taxpayer compliance. In addition, this study also examines the role of supporting variables related to the moderation of tax sanctions. This type of research is associative quantitative research using random sampling technique. The research sample population was 100 respondents who were registered at KPP Pratama Kebayoran Baru Dua with the help of the SPSS 25 program. The research methodology used was Descriptive Statistical Test, Classical Assumption Test (Normality Test, Multicollinearity Test, Heteroscedasticity Test, Autocorrelation Test), Hypothesis Test (Test Multiple Linear Regression, Moderated Regression Analysis Test, Coefficient of Determination Test, Partial Test, Model Fit Test). Based on the test results of this study, it shows that the obligation to own a NPWP has an effect on individual taxpayer compliance and taxpayer collection has an effect on individual taxpayer compliance. This study also shows that tax sanctions strengthen the influence of the obligation to own a NPWP on individual taxpayer compliance and tax sanctions strengthen the effect of taxpayer collection on individual taxpayer compliance.

Antecedents to the conspicuous consumption of luxury fashion brands by middle-income black South Africans

PurposeSouth Africa is increasingly becoming an attractive market for luxury fashion brands due to the growing middle-income consumer segment, which is perceived to be upwardly mobile. Despite evidence of black South African's exhibition of heightened interest in conspicuous consumption (CC), there seems to be limited research addressing the drivers and implications of such behaviour. This study aims to investigate the antecedents of CC by middle-income black South Africans and the marketing implications thereof.Design/methodology/approachThis study employed a survey questionnaire approach and a quantitative methodology for primary data collection. Data were gathered from a sample of 170 respondents across South Africa and analysed using structural equation modelling (SEM) through SPSS and Mplus software. Confirmatory factor analysis was used to test model fit, reliability and validity of measurement instruments, while path modelling was used to test hypotheses adopted by this report.FindingsAmong the major findings made by this report was that social class signalling positively influenced CC. In contrast, CC was not predicted by status consumption (SC). This study concluded that social factors motivated the CC of luxury fashion brands by middle-income black South Africans.Practical implicationsThis study's key recommendations were for marketing professionals to imbue overt status cues in their brand campaigns to drive the consumption of luxury fashion brands. Future studies could investigate whether or not the findings of this study are applicable across ethnic demographics in South Africa.Originality/valueThe study extends the discourse of the antecedents of ethnic consumer behavioural patterns in a historically segregated market. It weighs in on the growing research addressing factors driving the middle-income population from emerging economies to consume luxury fashion brands conspicuously.