Quality of Life: A Longitudinal Analysis of Correlates of Morale in Old Age by Said Shahtahmasebi

“…In order to assess the degree to which explanatory variables influence morale, an adequate statistical model must handle the possibility that substantial variation between respondents will be due to unmeasured and potentially unmeasurable variables (residual heterogeneity), multicollinearity, and past behaviour effect. These applications are illustrated using morale in old age from the North Wales Longitudinal Study Old Age. …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…However, in the existence of multicollinearity, the estimates become unstable due to its high variance and standard error. …”
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Understanding emotional and health indicators underlying the burnout risk of healthcare workers. by Elçin Güveyi, Garry Elvin, Angela Kennedy, Zeyneb Kurt, Petia Sice, Paras Patel, Antoinette Dubruel, Drummond Heckels

“…Both the Spearman Rank Correlation and the Variance Inflation Factor methods found no evidence for multicollinearity in our regression models. We showed how burnout can be explained using a handful of factors including emotional and mental health indicators. …”
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Exploring Urban Crime Through the Lens of an Adaptive Region Partitioning Technique and Built Environment Features by Yuchen Yan, Hua Wang, Wei Quan, Yuxin Wang

“…Compared with the traditional partitioning method, the research unit under the ARP method exhibits improved intra-regional homogeneity and inter-regional heterogeneity characteristics, more accurately maps the spatial distribution characteristics of the urban data, effectively mitigates the risk of multicollinearity, improves the accuracy of the regression model, and provides a new and reliable regional partitioning scheme for crime research. …”
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Work Experience as an Intermediary: The Influence of Work Motivation and Transformational Leadership on Teacher Performance by Adelina Liunokas, Yuli Kurnawati Sugiyo Pranoto, Ali Formen

“…Hypothesis testing uses a normality test, significance test, linearity test, multicollinearity test, heteroscedasticity test, coefficient of determination test, and Sobel test. …”
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To Identify the Important Soil Properties Affecting Dinoseb Adsorption with Statistical Analysis by Yiqing Guan, Jianhui Wei, Danrong Zhang, Mingjuan Zu, Liru Zhang

“…Results indicate that pH and CEC had moderate relationship and lower direct effect on dinoseb adsorption parameter due to the multicollinearity with other soil factors, and organic carbon and clay contents were found to be the most significant soil factors which affect the dinoseb adsorption process. …”
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Forecast generation model of municipal solid waste using multiple linear regression by J.A. Araiza-Aguilar, M.N. Rojas-Valencia, R.A. Aguilar-Vera

“…The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a multicollinearity test to select the most important ones. …”
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The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa by Thomas Appiah, Veronica Venyo Agblewornu

“…The estimated PLS-SEM model exhibits robustness, as there are no issues regarding unobserved heterogeneity, common method bias, or multicollinearity. Furthermore, the model demonstrates reasonable predictive accuracy as evidenced by acceptable R-square, F-square, and Q-square values. …”
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Managing the University’s Educational Process Based on Predicting Students’ Academic Performance by E. V. Alikina, D. V. Maltsev

“…Methods of mathematical statistics were used to analyze the data: determining the type of data distribution using the Shapiro-Wilk test, establishing the presence of multicollinearity in the construction of multiple regression by the Pearson criterion, establishing correlation dependencies by Spearman’s rank correlation method. …”
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Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective by Xiaoyun Cheng, Kun Huang, Lei Qu, Tianbao Zhang, Li Li

“…Fourteen variables from four dimensions, location, land-use diversity, distance to transit, and street design, are used to depict the built environment; moreover, the severe collinearity underlies these feature variables. To solve the multicollinearity among the variables and high-dimensional problem, this study utilizes two different penalization-based regression models, the LASSO (least absolute shrinkage and selection operator) and Elastic Net regression algorithms, to achieve the variable selection and explore the impacts of the built environment on the change of travel demand triggered by the LPR policy. …”
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THE IMPACT OF GENDER DIVERSITY ON EARNINGS QUALITY OF LISTED FINANCIAL SERVICES FIRMS IN NIGERIA: ANALYSIS OF TWO-STAGE LEAST SQUARES by Joseph Olorunfemi Akande

“…Diagnostic tests, including Multicollinearity, Autocorrelation, Heteroskedasticity, and Normality, confirmed the robustness of the results. …”
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Re-calibrating measurements of low-cost air quality monitors using PCR-GPR air quality forecasting models. by Bing Liu, Shuting Yang, Junqi Wang

“…First, we perform Principal Component Analysis (PCA) on the measurement data of the AQM to solve the multicollinearity problem. Through PCA, we successfully extracted 8 principal components, which not only contained 95% of the information in the original data, but also effectively eliminated the correlation between the variables, providing a more robust data base for subsequent modeling. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Furthermore, highly correlated LCZ types are screened out under the optimal size, the multicollinearity of all LCZ landscape pattern indices is examined and those with multicollinearity are excluded. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…Furthermore, the presence of redundant or highly correlated selected features may lead to multicollinearity issues. In the existing works, certain limitations, such as reduced performance due to degraded data quality, high storage space requirements, overfitting issues, and lack of robustness, can compromise overall classification accuracy. …”
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DETERMINANTS OF CORPORATE TAX AGGRESSIVENESS IN NIGERIAN DEPOSIT MONEY BANKS by Bilikisu Roseline Yusuf, Samson Adewale Adediran

“…Diɑgnostic tests were equɑlly cɑrried out such ɑs ShɑpiroWilk Test for normɑlity, Vɑriɑnce Inflɑtion Fɑctor (VIF) for multicollineɑrity test, Breusch-Pɑgɑn / Cook-Weisberg test for heteroskedɑsticity, Breusch ɑnd Pɑgɑn Lɑgrɑngiɑn multiplier test for rɑndom effects, ɑnd Hɑusmɑn Specificɑtion Test to determine ɑppropriɑte estimɑtion technique between fixed ɑnd rɑndom effect model. …”
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Residential Density and Illegal Waste Dumping In Cities by Mahamba C, and Ruhiiga TM

“…Tests for normal distribution and for multicollinearity were carried on a set of predictor variables on size and location attributes, waste collection service, residential housing density, waste volumes and disposal practices. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing values in the second phase, the structural relationships between the variables in the suggested conceptual model were tested and examined using structural equation modeling (SEM). …”
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The Effect of Board Risk Management on Financial Performance of Selected Saccos in Kiruhura District, Uganda. by Kyabarong, Benon, Agaba, Moses, Munyabonera, Francisis, Byamukama, Eliab Mpora, Kikawa, Cliff, Ahabwe, Oliver

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing data. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing values and in the second phase, the structural relationships between the variables in the suggested conceptual model were tested and examined using structural equation modeling (SEM). …”
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Factors affecting the profitability of banks - Evidence from Serbia's banking sector by Miloš Đaković, Nada Milenković, Jelena Andrašić

“…Further analysis includes the unit root test and the variance inflation factor analysis to check for stationarity and multicollinearity of the data. After testing, the authors establish a panel regression model using random and fixed effects, applying the Hausman test to establish a more valid model. …”
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