A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Methodological Application of Bootstrapping for Predictive Data Analytics
The existing research on Internet Addiction Disorder (IAD) focuses on conceptualization and operationalization of the problematic internet use - causing psychological disorders and social disorientation. The research supports conceptual advancements towards IAD occurrence but is inadequate in methodological applications, as IAD is a complex construct in multidisciplinary environment. The primary objective of this study is to deploy an inventive approach based on confidence interval overlap to determine whether two popularly researched influencers (psychological disorder and social disorientation) have any real significant difference towards inducing IAD. The analysis was done on primary data, collected through focused group and questionnaire methods. Statistical tool PASW v. 20 was used by enabling Bootstrapping Procedure on Unstandardized Coefficients of Regression Analysis. The study concludes that IAD is an outcome of investigated influencers but fails to signify any real difference in two interrelated concepts. The study is particularly useful for researchers using point estimates based on confidence interval overlap to determine significant differences.
Methodological Application of Bootstrapping for Predictive Data Analytics
The existing research on Internet Addiction Disorder (IAD) focuses on conceptualization and operationalization of the problematic internet use - causing psychological disorders and social disorientation. The research supports conceptual advancements towards IAD occurrence but is inadequate in methodological applications, as IAD is a complex construct in multidisciplinary environment. The primary objective of this study is to deploy an inventive approach based on confidence interval overlap to determine whether two popularly researched influencers (psychological disorder and social disorientation) have any real significant difference towards inducing IAD. The analysis was done on primary data, collected through focused group and questionnaire methods. Statistical tool PASW v. 20 was used by enabling Bootstrapping Procedure on Unstandardized Coefficients of Regression Analysis. The study concludes that IAD is an outcome of investigated influencers but fails to signify any real difference in two interrelated concepts. The study is particularly useful for researchers using point estimates based on confidence interval overlap to determine significant differences.
Methodological Application of Bootstrapping for Predictive Data Analytics
Riaz, Sadia (author) / Kaur, Maninder Jeet (author) / Mushtaq, Arif (author)
2020-02-01
247560 byte
Conference paper
Electronic Resource
English
Marble Fairbanks : Bootstrapping
| UB Braunschweig | 2005
Predictive analytics in facilities management
| Emerald Group Publishing | 2019
Predictive analytics for water main breaks using spatiotemporal data
| Taylor & Francis Verlag | 2021
Proactive Construction Project Controls via Predictive Visual Data Analytics
| British Library Conference Proceedings | 2017