2021
DOI: 10.1086/714099
|View full text |Cite
|
Sign up to set email alerts
|

Elaine Landry, ed., Categories for the Working Philosopher. Oxford: Oxford University Press (2017), xiv+417 pp., $110.00 (cloth).

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 0 publications
0
5
0
Order By: Relevance
“…The positive sign is consistent with previous studies (Schr€ oder, 2014). The largest significant coefficient among the variables is 0.826, which creates no multicollinearity, according to Dougherty (2017). The test result's findings of no multi-collinearity are confirmed using a variance inflation factor (VIF), which shows VIFs are below 7.0.…”
Section: Csr Disclosure and Debt Financing In Indiamentioning
confidence: 84%
“…The positive sign is consistent with previous studies (Schr€ oder, 2014). The largest significant coefficient among the variables is 0.826, which creates no multicollinearity, according to Dougherty (2017). The test result's findings of no multi-collinearity are confirmed using a variance inflation factor (VIF), which shows VIFs are below 7.0.…”
Section: Csr Disclosure and Debt Financing In Indiamentioning
confidence: 84%
“…The results allow us to rule out the possible existence of multicollinearity between the studied model variables. The largest significant coefficient among the variables is 0.736 and 0.654, which are below the threshold of 0.80, creating no multicollinearity (Dougherty, 2017). Also, the multicollinearity test using a VIF shows no evidence of multicollinearity.…”
Section: Methodsmentioning
confidence: 92%
“…The variable was assigned 1 if the respondent used ANC services and 0 otherwise. We discuss three binary choice models: a linear probability model (LPM), logit regression and probit regression (see Train, 2003;Dougherty, 2007). The LPM is the simplest of all the binary choice models (Dougherty, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…We discuss three binary choice models: a linear probability model (LPM), logit regression and probit regression (see Train, 2003;Dougherty, 2007). The LPM is the simplest of all the binary choice models (Dougherty, 2007). It supposes that the dependent variable (Y) and the probability that a respondent visited an ANC clinic (p) are linear functions of the explanatory variables (x):…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation