Analysis of Multiple Dependent Variables

By Patrick Dattalo. 2013

186 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Public Administration, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d3d858a9eb1f0826c59336eff864bf64d87f201f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Md. Kamruzzaman
2. Tan Yigitcanlar

In Public Administration

1. Md. Kamruzzaman
2. Tan Yigitcanlar

In Statistics and Probability

1. Md. Kamruzzaman
2. Tan Yigitcanlar

Citations in the corpus

• COVID-19: Psychological flexibility, coping, mental health, and wellbeing in the UK during the pandemic (2020, unknown): “…(of whether regression coefficients equal zero across all dependent D.L. Dawson and N. Golijani-Moghaddam Journal of Contextual Behavioral Science 17 (2020) 126–134 variables) and only proceeded to examine separate models (for each dependent variable) if this F test was significant (Dattalo, 2013).”
• Smart Cities and Mobility: Does the Smartness of Australian Cities Lead to Sustainable Commuting Patterns? (2018, background): “Interested readers are referred to Dattalo (2013) for a detailed discussion on multivariate multiple regression models.”