Supplemental Material - Predicting Web Survey Breakoffs Using Machine Learning Models

Chen, Zeming; Cernat, Alexandru; Shlomo, Natalie

doi:10.25384/sage.20291722

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JOURNAL ARTICLE

Supplemental Material - Predicting Web Survey Breakoffs Using Machine Learning Models

Chen, Zeming Cernat, Alexandru Shlomo, Natalie

Year: 2022 Journal: Sage Journals Data

DOI: 10.25384/sage.20291722

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Abstract

Supplemental Material for Predicting Web Survey Breakoffs Using Machine Learning Models by Zeming Chen, Alexandru Cernat, and Natalie Shlomo in Social Science Computer Review

Keywords:

Predictive modelling The Internet Web application Deep learning Training set

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.33

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Diptera species taxonomy and behavior

Life Sciences → Agricultural and Biological Sciences → Ecology, Evolution, Behavior and Systematics

Forensic Entomology and Diptera Studies

Life Sciences → Agricultural and Biological Sciences → Insect Science

Coleoptera: Cerambycidae studies

Life Sciences → Agricultural and Biological Sciences → Ecology, Evolution, Behavior and Systematics

Supplemental Material - Predicting Web Survey Breakoffs Using Machine Learning Models

Abstract

Metrics

Topics

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