Deviations from linearity in statistical evaluation of linearity in assay validation

Liu, Jen‐pei; Chow, Shein‐Chung; Hsieh, Tao-shih

doi:10.1002/cem.1242

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…Under linearity in bivariate relationships and/or regression models, it is assumed that the dependent variable is a linear function of the independent variable (Niermann, 2007). Deviation from linearity is used to illustrate the significance (or lack thereof) of linearity of the respective sets of variables since it is one of the proposed parameters of assessing linearity (Liu, Chow, & Hsieh, 2009). The pertinent results are presented summarily in Table 3.…”

Section: Inferential Analysismentioning

confidence: 99%

Technological Innovations and Performance of the Agricultural Development Corporation, Kenya

TONUI,

MUHOHO,

GACHURU

2023

RJIBM

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The business environment is ever changing forcing organizations and individuals to respond adequately if they have to survive. This draws interest to this study on strategic change management (particularly, technological innovations) and performance of the Agricultural Development Corporation. The corporation has been facing constrained performance justifying the need to carry out this empirical research. The objective was to examine the effect of technological innovations on performance of the corporation. The study was guided by the balanced scorecard model and kotter’s theory of change management. Empirical studies touching on technological innovations and performance have been reviewed. An explanatory research design, quantitative methods, and deductive approach were adopted. A census design was employed to obtain the 51 targeted management staff of ADC. A research questionnaire was used to collect pertinent data. The questionnaire was pilot tested with the aim of assessing its validity and reliability. Data collection was conducted physically and through emails. The collected data were analyzed with the assistance of the Statistical Package for Social Sciences. Descriptive as well as inferential statistics were used in data analysis. Before undertaking inferential statistical analysis, relevant diagnostic tests were conducted. The results of the analysis were presented graphically and in tabular form. It was revealed that technological innovations had statistically significant effect on performance of ADC. It was concluded that technological innovations were important tenets of strategic change management with regard to the performance of ADC. In order to enhance its performance, it was recommended that the corporation should consider integrating various innovative technologies. The management staff of ADC should ensure that they were updated with regard to the technological innovations already in place in the organization.

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Section: Inferential Analysismentioning

confidence: 99%

Technological Innovations and Performance of the Agricultural Development Corporation, Kenya

TONUI,

MUHOHO,

GACHURU

2023

RJIBM

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“…However, the sig linearity value < 0.05, which is 0.000 < 0.05, which means that linearity is very strong, meaning that the LINIER model is still able to explain variants well. Then the data on education level and legal compliance can be assumed to be linear (Liu et al, 2009). Based on the table above, it is known that the value of sig Deviation from linearity > 0.05, which is 0.052 > 0.05, which means that there is a linear relationship between legal culture variables (X3) and legal compliance (Y).…”

Section: B Linearity Testmentioning

confidence: 99%

The Influence of the Level of Education, Employment and Legal Culture on the Orderly Compliance of the Traffic Laws of the People of Sungai Penuh City

Opeska¹,

Ananda²,

Fatmariza³

et al. 2023

IJMRA

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The purpose of the study was to analyze: (1) the effect of education level on the orderly compliance of traffic laws of the people of Sungai Full City; (2) the effect of the work on the orderly traffic law compliance of the people of Sungai Full City; (3) the influence of legal culture on the orderly traffic law compliance of the people of Sungai Full City; (4) the influence of the level of education, employment, and legal culture on the orderly compliance of the traffic laws of the people of Sungai Full City. This research is quantitative research with multiple regression analysis. The data collection technique used is a questionnaire (questionnaire) that is distributed directly to respondents. With samples of Sungai Full District (Sungai Penuh, Pasar Sungai Penuh, and Amar Sakti), Pesisir Bukit District (Koto Renah, Koto Keras, and Koto Tengah), and Tanah Kampung District (Tanjung Bunga, Koto Tengah, and Koto Panap) with a total of 276 respondents. Sampling technique is a purposive sampling area. Data analysis is carried out with regression techniques which are first carried out analysis prerequisites. From the results of the study, it was found that the level of education (X1), employment (X2), and legal culture (X3) simultaneously or together affect the legal compliance (Y) of the community in complying with traffic order in Sungai Full City. With the contribution of the three independent variables to legal compliance of 76.6%. Each independent variable partially affects legal compliance, with the contribution of each variable, namely, education level (X1) affects legal compliance (Y) by 19.2%, then the job variable (X2) affects legal compliance (Y) by 21% and the legal culture variable (X3) affects legal compliance (Y) by 36.4%. Then the remaining 23.4% of legal compliance (Y) was influenced by other factors not examined in this study.

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“…Although it may seem that everything has been said on the subject of linearity, it is still an open question and subject to debate. It is therefore not surprising that some proposals are made from time to time to resolve this issue [54,[82][83][84][85][86][87][88][89][90][91][92].…”

Section: Ep6-a [79]mentioning

confidence: 99%

“…The stabilization of variance usually takes precedence over improving normality [160]. As stated by Acton [86] 'The gods who favour statisticians have frequently ordained that the world be…”

Section: Author Detailsmentioning

confidence: 99%

Uncertainty Quantification and Model Calibration

Hessling¹

2017

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and his MSc degree in physics from the University of Massachusetts, USA, 1991. Since then, he has been devoted to novel mathematical concepts, recently focusing on modeling uncertainty and dynamic analysis. Peter is the original proposer of Deterministic Sampling for uncertainty quantification and model calibration and Dynamic Metrology for analysis of dynamic measurements utilizing custom digital filtering. Peter has authored 3 book chapters for InTech and about 20 journal articles as leading author, current Google h-index=10. Since 2016, his concepts are further developed in the privately held company Kapernicus AB, dedicated to applied mathematical R&D, with services offered worldwide.

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Deviations from linearity in statistical evaluation of linearity in assay validation

Cited by 10 publications

References 15 publications

Technological Innovations and Performance of the Agricultural Development Corporation, Kenya

Technological Innovations and Performance of the Agricultural Development Corporation, Kenya

The Influence of the Level of Education, Employment and Legal Culture on the Orderly Compliance of the Traffic Laws of the People of Sungai Penuh City

Uncertainty Quantification and Model Calibration

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