Assessment of goodness-of-fit for the main analytical calibration models: Guidelines and case studies

Raposo, F.; Barceló, Damià

doi:10.1016/j.trac.2021.116373

Cited by 19 publications

(7 citation statements)

References 42 publications

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“…Aside from attributing relationships of variables, SEM can also find out the factors that establish the causal relationship between and among dependent and independent variables in varying scale levels using mathematical models and theories [21], [22], [23], [24], [25]. SEM provides consistency in research where the goodness of fit is necessary [26], [27], [28], [29].…”

Section: Methodsmentioning

confidence: 99%

Public Leadership Roles, Professional Identity, and Quality of Work Life: A Structural Equation Model on Satisfaction of Employees in the Local Government

Poliquit¹,

Ligan²,

Bandiola³

2022

EPRA

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This non-experimental quantitative study established the best-fit structural model for employee satisfaction (ES) with public leadership roles (PLR), professional identity (PI), and quality of work life (QWL) as the exogenous latent variables. The stratified random sampling method selected the four hundred local government employees in Region XI to participate in the survey. Data analysis yielded the following results: The mean statistic showed very high levels of professional identity and employee satisfaction compared to the high levels of public leadership roles and work-life quality. Pearson r revealed a significant and positive relationship between public leadership roles, professional identity, quality of work-life and employee satisfaction. The multiple regression analysis revealed that public leadership roles, professional identity, and quality of work-life significantly influence employee satisfaction by 58.6 percent. The Structural Equation Modeling (SEM) bared that two exogenous latent variables predict employee satisfaction: public leadership roles (indicated by network governance and political leadership) and professional identity (characterized by knowledge and philosophy of the profession, attitude, engagement behavior, and interaction are predictors of employee satisfaction). In addition, employee satisfaction has these indicators: leadership and planning, corporate culture and communication, role in the organization, work environment, training, development and resources, pay and benefits, and overall employment experience. These findings are relevant to Human Resource Management Offices in the public and private sectors, with implications for employment policies, especially for employees career growth. KEYWORDS: public administration, local government employees, public leadership roles, professional identity, quality of work-life, employee satisfaction, SEM, Philippines

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Section: Methodsmentioning

confidence: 99%

Public Leadership Roles, Professional Identity, and Quality of Work Life: A Structural Equation Model on Satisfaction of Employees in the Local Government

Poliquit¹,

Ligan²,

Bandiola³

2022

EPRA

View full text Add to dashboard Cite

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“…The most frequently used validation criteria: Pearson's correlation coefficient r, as well as coefficient of determination R 2 are only measures of the error's magnitude [13]: the randomness of the error is neglected by them. Therefore, when their value is close to 1, it does not indicate that the model is sufficient to describe the calibration dependence and that all assumptions are fulfilled [14].…”

Section: T Ymentioning

confidence: 97%

Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design

2021

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This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as the connections and dependences between them, all from various perspectives of uncertainty measurement. Nonuniform D-optimal designs coming from Fedorov theorem are computed and presented. As an example, all possible designs of 24 calibration samples (3–8, 4–6, 6–4, 8–3 and 12–2, both uniform and D-optimal) are compared in context of many optimality criteria. It can be concluded that there are only two independent (orthogonal, but slightly complex) trends in optimality of these designs. The conclusions are important, as the uniform designs with many concentrations are not the best choices, contrary to some intuitive perception. Nonuniform designs are visibly better alternative in most calibration cases.

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“…A 1/x 2 The evaluation of linearity is more challenging than most validation guidelines describe for two reasons. Firstly, there is much discussion over the suitability of the coefficient of determination (R 2 ) and the correlation coefficient (R) for evaluating linearity [39]. Furthermore, a weighting factor should be applied in many cases, especially in mass spectrometry techniques, even if the coefficients are within the acceptable limits.…”

Section: Linearitymentioning

confidence: 99%

Monitoring of Aflatoxin M1 in Various Origins Greek Milk Samples Using Liquid Chromatography Tandem Mass Spectrometry

et al. 2022

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Aflatoxin M1(AFM1), a major metabolite of Aflatoxin B1(AFB1), has been identified as a potential contaminant in dairy products. Because of its possible carcinogenicity, the legislation limits as set by Commission Regulation (EC) No. 1881/2006 are very strict, namely 0.050 μg kg−1 in milk and 0.025 μg kg−1 in infant formulas. To meet these requirements, a sensitive and accurate method was developed, employing liquid chromatography tandem mass spectrometry (UPLC-MS/MS). Ιmmunoaffinity columns (R-Biopharm) were used for sample purification and preconcentration of the analyte of interest. The quantification of AFM1 was conducted using fortified milk samples, while Aflatoxin B2 (AFB2) was used as an internal standard (IS). The method was validated in terms of linearity, precision, trueness, limits of detection and quantification and uncertainty. The performance criteria for the method were evaluated based on European Commission Regulation (EC) No. 401/2006 and its most recent amendment, as well as the suggested criteria for revision by the EU Reference Laboratory for Mycotoxins and Plant Toxins. The recovery was in the range of 77.9–81.0% for all fortification levels (0.025–0.050–0.075 μg kg−1), with RSDR values (Relative Standard Deviation of intermediate precision) ranging from 6.1% to 12%. The method’s detection and quantification limits were 0.0027 μg kg−1 and 0.0089 μg kg−1, respectively. The occurrence of AFM1 was investigated in 40 samples of different animal origin (cow, goat and sheep milk) provided by Greek producers.

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Assessment of goodness-of-fit for the main analytical calibration models: Guidelines and case studies

Cited by 19 publications

References 42 publications

Public Leadership Roles, Professional Identity, and Quality of Work Life: A Structural Equation Model on Satisfaction of Employees in the Local Government

Public Leadership Roles, Professional Identity, and Quality of Work Life: A Structural Equation Model on Satisfaction of Employees in the Local Government

Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design

Monitoring of Aflatoxin M1 in Various Origins Greek Milk Samples Using Liquid Chromatography Tandem Mass Spectrometry

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