scholarly journals Structural Equation Model of affecting factors on elder abuse to patients under hemodialysis by family caregivers

2020 ◽  
Author(s):  
Amaneh Mahmoudian ◽  
Abbas Shamsalinia ◽  
Atefeh Alipour ◽  
Zahra Fotokian ◽  
fatemeh ghaffari
Keyword(s):  
Family Caregivers ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Elder Abuse ◽  
The Elderly ◽  
Equation Modeling ◽  
Affecting Factors ◽  
Care Burden ◽  
Beta Coefficient ◽  
Fit Index

Abstract BackgroundThe aim of the present study was to determine the factors affecting the abuse of the elderly by family caregivers among the elderly with hemodialysis (HD) using structural equation modeling.MethodThe study is descriptive-cross sectional, which is conducted in 2018 in Iran. The sample size was 367 in both groups (the elderly and their family caregivers). Data collection was done using an individual-social information questionnaire for the older adults under hemodialysis and their family caregivers, the questionnaire of elder abuse by family caregivers to the older people under hemodialysis, Zarit Burden Interview and the scale of instrumental activities of Daily Living (IADL). Data were analyzed by the SEM method. The Fitness of proposed pattern was measured using the following indexes: Chi-squared degree of freedom ratio (CMIN/DF), Parsimonious Normed Fit Index (PNFI), Comparative Fit Index (CFI), Parsimonious Comparative Fit Index (PCFI), Incremental fit index (IFI), Goodness of Fit Index (GFI) and Root Mean Square Error of Approximation (RMSEA). The significant level in this study was considered p <0.05.ResultsThe results of the present study showed that more than 70% of the elderly suffer from elder abuse by family caregivers on average. The highest median elder abuse was related to emotional misbehavior (21.46±6.09) and financial misbehavior (19.07±5.33), respectively. 63.2% of caregivers have experienced moderate care burden. 81.4% of women and 80.5% of older men needed help with daily activities. The results showed that the caregivers’ level of education and care burden with standard beta coefficient of -0.251 and 0.200 and the level of elderly’s education and IADL with the best beta coefficient of -0.299 and -0.234, had the highest regression effect on elder abuse respectively. According to the results, the model-fit indices of the hypothesized model was meet the criteria, with the PNFI= 0.746, PCFI= 0.796, IFI= 0.963, GFI=0.970, CFI=0.967, and RMSEA= 0.075. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data.ConclusionProviding psychological interventions for family caregivers can reduce the burden when the elderly suffers from other chronic illnesses.

scholarly journals Structural equation model of affecting factors on elder abuse to patients under hemodialysis by family caregivers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amaneh Mahmoudian ◽  
Abbas Shamsalinia ◽  
Atefeh Alipour ◽  
Zahra Fotoukian ◽  
Fatemeh Ghaffari
Keyword(s):  
Older Adults ◽  
Family Caregivers ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Elder Abuse ◽  
Equation Model ◽  
Care Burden ◽  
Beta Coefficient ◽  
Fit Index

Abstract Background The objectives of the present study were to determine the prevalence of older adults with hemodialysis (HD) abuse by family caregivers and the factors affecting it. Method This is a correlational-causal study, which is conducted in 2018 in Iran. The sample size was 367 in both groups (the older adults and their family caregivers). Data collection was done using an individual-social information questionnaire for the older adults under hemodialysis and their family caregivers, the questionnaire of elder abuse by family caregivers to the older people under hemodialysis, Zarit Burden Interview and the scale of instrumental activities of daily living (IADL). Data were analyzed by the structural equation model (SEM) method. The Fitness of proposed pattern was measured using the following indexes: chi-square/degree of freedom ratio (CMIN/DF), Normed Fit Index (NFI), comparative fit index (CFI), goodness of fit index (GFI), and standardized root mean squared residual (SRMR). The significant level in this study was considered p < 0.05. Results The results of the present study showed that more than 70 % of the older adults suffer from elder abuse by family caregivers on average. The highest median elder abuse was related to emotional misbehavior (21.46 ± 6.09) and financial misbehavior (19.07 ± 5.33), respectively. Moderate care burden was experienced by 63.2 % of caregivers. The percentage of older women and men, who needed help with daily activities was 81.4 and 80.5 %, respectively. The results showed that the caregivers’ level of education and care burden with standard beta coefficient of -0.251 and 0.200 and the educational level of older adults and IADL with the best beta coefficient of -0.299 and − 0.234, had the highest regression effect on elder abuse respectively. According to the results, the model-fit indices of the hypothesized model was meet the criteria, with the NFI = 0.951, GFI = 0.970, CFI = 0.967, and SRMR = 0.041. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. Conclusions The results of the present study showed that the prevalence of elder abuse by family caregivers among the older adults under hemodialysis is high. Providing psychological counseling can reduce the consequences of elder abuse.

scholarly journals Relationship between Psychological Distress and Prolonged Sedentary Bouts in the Elderly: Four Period Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 676
Author(s):  
Yutaka Owari
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Secondary Analysis ◽  
The Elderly ◽  
Sample Population ◽  
Elderly Individuals ◽  
Sedentary Bouts ◽  
Fit Index

Background: Too much sitting is associated with low mental health in elderly individuals. We clarified the relationship between psychological distress and the rate of prolonged sedentary bouts (PSBs) among the elderly over four periods. Methods: In a secondary analysis, a sample population of 68 adults aged 65 years or older in Japan was used. The following proxy variables were used: PSB (mental health) and the Kessler 6 scale; K6 scores (psychological distress). Results: Using the cross-lagged effects models, from “2016 K6” to “2017 PSB” (p = 0.004), from “2017 K6” to “2018 PSB” (p < 0.001), and from “2018 K6” to “2019 PSB” (p = 0.021) were all significant; however, the reverse were not all significant in one period. In four periods, from “2016 PSB” to “2019 K6” (p = 0.025) was significant; however, the reverse was not significant. Fit indices were obtained: χ2 = 7.641 (p = 0.182), goodness of fit index (GFI) = 0.891, comparative fit index (CFI) = 0.901, and root mean square error of approximation (RMSEA) = 0.121 in structural equation modelling. Conclusions: Psychological distress may affect the rate of PSB after one year, and the rate of PSB may affect the rate of psychological distress after three years in elderly individuals.

scholarly journals MODEL PENGUKURAN TINGKAT KEPERCAYAAN PELANGGAN (ONLINE TRUST) TERHADAP SITUS E-COMMERCE (Studi Kasus pada Pelanggan E-Commerce di Provinsi Bali)

2018 ◽  
Vol 1 (3) ◽  
pp. 100
Author(s):  
I Made Endra Wiartika Putra ◽  
Gede Rasben Dantes ◽  
I Made Candiasa
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Snowball Sampling ◽  
Cronbach’S Alpha ◽  
Purposive Sampling ◽  
Online Trust ◽  
Cronbach's Alpha ◽  
Fit Index

Penelitian ini bertujuan untuk mengetahui model pengukuran tingkat kepercayaan pelanggan terhadap situs e-commerce. Langkah awal yang dilakukan yaitu identifikasi faktor-faktor yang mempengaruhi kepercayaan pelanggan melalui studi literatur dan studi empirik untuk menentukan model analisis terhadap kepuasan pelanggan. Faktor yang mempengaruhi kepercayaan pelanggan untuk bertransaksi secara online yaitu pengetahuan konsumen terhadap e-commerce, reputasi penjual, resiko dalam transaksi, kemudahan penggunaan e-commerce, jaminan sistem, sikap/perilaku terhadap sistem dan sistem keamanan. Populasi dalam penelitian ini adalah masyarakat Provinsi Bali menggunakan metode purposive sampling dan snowball sampling dengan kriteria responden pernah berkunjung dan melakukan transaksi di e-commerce yang ada di Indonesia lebih dari 3 kali. Instrumen penelitian berupa kuesioner dengan data interval berskala 5 Likert. Instrumen terlebih dahulu diuji validitas isi dengan metode Robert Gregory, validitas empiris menggunakan rumus product moment, reliabilitas instrument menggunakan Cronbach’s Alpha, dan menghasilkan 59 pernyataan yang dapat digunakan untuk pengambilan data. Jumlah responden yang digunakan dalam penelitian ini adalah sebanyak 126 responden. Teknik analisis data, pengujian hipotesis dan pengujian model menggunakan metode Structural Equation Modeling dengan bantuan aplikasi SPSS AMOS 21. Hasil penelitian ini melalui pengujian hipotesis menunjukkan bahwa pengetahuan tentang situs e-commerce dan perlindungan keamanan berpengaruh negatif dan tidak signifikan terhadap kepercayaan pelanggan. Resiko, kemudahan e-commerce, jaminan sistem dan sistem keamanan bukan menjadi sesuatu yang penting untuk dipertimbangkan dalam meningkatkan kepercayaan pelanggan karena pengaruhnya tidak signifikan. Reputasi yang dirasakan dan sikap merupakan hal yang perlu diperhatikan dan paling berpengaruh terhadap kepercayaan pelanggan pelanggan. Hasil penelitian ini kemudian diuji menggunakan goodness of fit index dan menghasilkan bahwa model penelitian tersebut dapat diterima dan dapat digunakan untuk meningkatkan keinginan pelanggan untuk bertransaksi online

scholarly journals The Influence of Social Support and Care Burden on Depression among Caregivers of Patients with Severe Mental Illness in Rural Areas of Sichuan, China

2019 ◽  
Vol 16 (11) ◽  
pp. 1961 ◽  
Author(s):  
Xiaxia Sun ◽  
Jingjing Ge ◽  
Hongdao Meng ◽  
Zhiguo Chen ◽  
Danping Liu
Keyword(s):  
Social Support ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Family Caregivers ◽  
Rural Areas ◽  
Structural Equation ◽  
Sichuan Province ◽  
Equation Modeling ◽  
Psychological Consequences ◽  
Care Burden

Depression is one of the most common psychological consequences of caregiving. Caring for patients with severe mental illness (SMI) adds significant challenges to family caregivers’ mental health. The purpose of this study was to describe the prevalence of depression among caregivers of SMI patients in rural areas of Sichuan province of China, to examine the influence of social support and care burden on depression, and to explore the intermediary effect of care burden between social support and depression among caregivers of SMI patients. Data were collected from 256 primary caregivers of SMI patients in rural Sichuan Province in China. We used structural equation modeling (SEM) to test the hypothesized relationship among the variables. We found that a total of 53.5% of caregivers had depression. Both care burden (β = 0.599, 95%CI: 0.392–0.776) and social support (β = −0.307, 95%CI: (−0.494)–(−0.115)) were directly related to depression, while social support had a direct association with care burden (β = −0.506, 95%CI: (−0.672)–(−0.341)). Care burden mediated the relationship between social support and depression. For the socio-demographic variables, gender, education level and per capita annual income of household had significant correlations with depression (p < 0.05). The results strongly demonstrated that social support and care burden were predictors of depression, especially social support. Policymakers should fully recognize the role of primary family caregivers in caring for SMI patients and promote interventions to decrease care burden and reduce caregivers’ depression by improving social support and network. More attention should be given to female caregivers and caregivers with lower education and lower household income levels.

scholarly journals Role of Organizational Climate in Job Involvement: A Way to Develop the Organizational Commitment of Nursing Staff

2018 ◽  
Vol 23 ◽  
pp. 2515690X1879072
Author(s):  
Rohollah Kalhor ◽  
Omid Khosravizadeh ◽  
Saeideh Moosavi ◽  
Mohammad Heidari ◽  
Hasan Habibi
Keyword(s):  
Organizational Commitment ◽  
Organizational Climate ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Job Involvement ◽  
Teaching Hospitals ◽  
Equation Modeling ◽  
Chi Square ◽  
Confirmatory Factor ◽  
Fit Index

Employees are the most valuable assets of an organization; therefore, it is very important to understand their behavior. In this regard, the present study was carried out in order to examine the effect of organizational climate on job involvement among nurses working in the teaching hospitals of Qazvin Province, Iran. The present descriptive analytical study was done in 2017. To randomly select a specific proportion of nurses from each of Qazvin teaching hospitals, stratified sampling was used. In total, 340 nurses were selected. Data were collected using 3 questionnaires: Halpin and Kraft Organizational Climate Questionnaire, Job Involvement Questionnaire (Kanungo), and Allen and Myer Organizational Commitment Questionnaire. For data analysis, confirmatory factor analysis and structural equation modeling were used applying AMOS-24 software. The results of path analysis showed the effect of organizational climate on the nurses’ job involvement. Moreover, organizational climate influenced organizational commitment through the mediation of job involvement. According to values obtained for degree of freedom based on chi-square, goodness-of-fit index, root mean square error of approximation, and comparative fit index were in the defined range; therefore, the validity of the conceptual model was approved. Based on the results of the present study, managers of health organizations can achieve their goals by understanding the organizational climate of the hospitals and its effect on the employees’ job involvement and discovering strategies needed for organizational commitment improvement.

scholarly journals Peran Kerentanan Normatif, Kesadaran Nilai, dan Integritas Terhadap Sikap dan Minat Beli Produk Bajakan Sepatu Bermerek

2013 ◽  
Vol 1 (1) ◽  
pp. 28-41
Author(s):  
Anas Hidayat ◽  
Ayu Hema Ajeng Diwasasri ◽  
Khaerunisa Amalia Sofia
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Index

Perkembangan fashion yang cepat dan meningkatnya kebutuhan setiap individu menciptakan peluang bagi para produsen. Mereka berlomba-lomba untuk dapat memenuhi kebutuhan setiap konsumennya. Sepatu menjadi salah satu produk yang banyak beredar di pasaran karena dapat dibuat dengan model dan warna yang bermacam-macam, selain itu kegunaanya pun bermacam-macam. Penelitian ini dibuat untuk mengetahui seberapa besar pengaruh kerentanan normatif, nilai kesadaran, dan integritas, berpengaruh terhadap sikap dan minat beli produk bajakan pada mahasiswa Fakultas Ekonomi Universitas Islam Indonesia di Yogyakarta.  Penelitian ini melibatkan 200 responden dengan teknik accidental sampling dan angket sebagai alat untuk mengumpulkan data. Hasil penelitian dianalisis dengan metode kualitatif yang meliputi uji goodness of fit index, analisis Structural Equation Modeling (SEM), dan pengujian hipotesis. Hasil analisis menunjukkan bahwa ada pengaruh negatif dan signifikan antara kerentanan normatif dan integritas terhadap sikap pada pembelian produk bajakan. Lebih lanjut, hasil analisis Regresi Linier menunjukkan bahwa ada pengaruh positif dan signifikan antara kesadaran nilai terhadap sikap pada pembelian produk bajakan, serta pengaruh positif antara sikap pembelian produk bajakan terhadapa minat beli konsumen. Kata kunci:    kerentanan normatif, nilai kesadaran, integritas, sikap pembelian produk bajakan, minat beli.

scholarly journals Drivers of Cash-on-Delivery Method of Payment in E-Commerce Shopping: Evidence From Pakistan

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402091739
Author(s):  
Safia Anjum ◽  
Junwu Chai
Keyword(s):  
Perceived Control ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Perceived Trust ◽  
Perceived Security ◽  
Major Factors ◽  
Fit Index

The e-commerce market of Pakistan has phenomenally fostered in recent years as a result of cyberspace expansion and launching of various national and international vendors. While country’s e-commerce scenario has significantly reshaped, customers are still reluctant to adopt e-payment methods and cash on delivery (COD) prevails as the method of payments for online shopping. This study was conducted to empirically investigate major factors which influence Pakistani customers to opt for COD while shopping online. A framework was proposed based on seven constructs and the data were collected using 5-point Likert-type scale. Statistical Package for the Social Sciences (SPSS) v. 22 and Amos v. 23 were used for statistical analysis and structural equation modeling (SEM). Cronbach’s alpha values above .85 were found suggesting good internal consistency. The goodness-of-fit index and adjusted goodness-of-fit index values were observed to be 0.933 and 0.866, respectively. In SEM analysis, perceived security against online scams and perceived control over the buying process were observed to be the key role players instigating Pakistani customers to use COD. Interestingly, perceived trust and perceived satisfaction did not show significant impact. Moreover, the moderator of ease of use positively mediated the influence of perceived security on the use of COD. This study presents imperative implications for online businesses as well as government agencies. The investigation provides an insight into purchase behaviors of Pakistani e-customers and has paramount importance for e-commerce retailers and marketing startups in evolving e-commerce scenario of the country.

scholarly journals PENGARUH SELEKSI DAN PELATIHAN TERHADAP PERSEPSI KINERJA PEGAWAI, DENGAN KOMPETENSI SEBAGAI VARIABEL INTERVENING (Studi Empirik Pada Inspektorat Jenderal Kementerian Agama)

2018 ◽  
Vol 4 (1) ◽  
pp. 41-55
Author(s):  
Ali Ghozi ◽  
Darwanto .
Keyword(s):  
Significant Influence ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Employee Performance ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Chi Square ◽  
Variables Selection ◽  
Fit Index ◽  
And Training

This study aims to verify and explain that Selection (X1) and Training (X2) has positive and significant influence to Perception of Employee Performance (Y2) mediated by Competency (Y1). Population in this study are employees at Inspectorate General of Ministry of Religion Affair. The sampel used in study are 136 respondents used sensus method. Data analysis was conducted by using Structural Equation Modeling (SEM) to analyze correlation between the independent variables (Selection (X1) and Training (X2) on the dependent variables (Perception of Employee Performance (Y2)) with Competency (Y1) as a intervening variable. The data was processed using AMOS 21.0 (Analysis of Moment Structures). The SEM analysis result has fulfilled Goodness of Fit Index Criteria with coefficient Chi-Square=36,078, Probability=0,171, RMSEA=0,043, GFI=0,953, AGFI=0,912, CMIN/df=1,244, TLI=0,956, and CFI=0,972. The result shows that selection has a positive and significant influence on the perception of employee performance (coefficient 0,65). Selection with competency as an intervening variable gives positive and significant influence on the perception of employee performance (coefficient 0,6878). Training has not a positive and significant influence on the perception of employee performance (coefficient -0,21). Training with competency as an intervening variable gives positive and significant influence on the perception of employee performance (coefficient 0,0798). Competency has a positive and significant influence on the perception of employee performance (coefficient 1,261). Keywords: selection, training, competency, perception of employee performance

scholarly journals Perceived Inventory of Technological Competency as Caring in Nursing (PITCCN): Psychometric Evaluation

2019 ◽  
Vol 4 (2) ◽  
pp. 1 ◽  
Author(s):  
Hirokazu Ito ◽  
Tetsuya Tanioka ◽  
Mie Miyamoto ◽  
Misao Miyagawa ◽  
Yuko Yasuhara ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Psychometric Evaluation ◽  
Equation Modeling ◽  
Index Test ◽  
Chi Square ◽  
Technological Competency ◽  
Fit Index

Background: The theory of Technological Competency as Caring in Nursing (TCCN) was developed by Locsin (2005) to guide the expression of “technological competency as caring in nursing” among practicing nurses. While the Technological Competency as Caring in Nursing Instrument (TCCNI) was developed and translated into other languages, no instrument measuring the TCCN among Japanese nurses was developed and tested. Thus, the Perceived Inventory of Technological Competency of Caring in Nursing (PITCCN) was developed and improved. Aim: The aim of this study was to validate the PITCCN using construct validity through structural equation modeling (SEM). Methods: The PITCCN is a four-factor questionnaire. The PITCCN was distributed to four hospitals (402 nurses) from selected Shikoku District in Japan. The theoretical model was tested using confirmatory factor analysis (CFA). Exploratory factor analysis and CFA via a SEM were used to justify construct validity, and Cronbach’s alpha coefficient was determined to establish reliability of constructs using SPSS and AMOS 25.0. Results: Finding shows that the chosen fit index test like Tucker Lewis Index (TLI), Goodness of Fit Index (GFI), and Normed Fit Index (NFI) are greater than 0.80 as set by the requirement. The values of the chi-square/degree of freedom (CMIN/DF), Comparative Fit Index (CFI), Incremental Fit Index (IFI), and Root Mean Square of Error Approximation (RMSEA) showed acceptable to good fit. Conclusion: GFI of the structure model was acceptable.

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