Meta‐analysis and meta‐regression are statistical methods for synthesizing and modelling
the results of different studies, and are critical research synthesis tools in ecology and …

This paper presents a review of empirical studies of self‐employment for the Australian,
Canadian, Dutch, UK and US labour markets. Both cross‐sectional and longitudinal studies …

This paper explores the effects of emotions embedded in a seller review on its perceived
helpfulness to readers. Drawing on frameworks in literature on emotion and cognitive …

This study treats firm productivity as an accumulation of productive intangibles and posits
that stakeholder engagement associated with better corporate social performance helps …

Districts have been engaged in efforts to reduce “differential processing” of discipline-
referred students based on their racial backgrounds. They strive for fair assignment of …

In this text, author Scott Menard provides coverage of not only the basic logistic regression
model but also advanced topics found in no other logistic regression text. The book keeps …

The focus in this Second Edition is again on logistic regression models for individual level
data, but aggregate or grouped data are also considered. The book includes detailed …

If you are a researcher or student with experience in multiple linear regression and want to
learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and …

For regression models other than the linear model, R-squared type goodness-of-fit summary
statistics have been constructed for particular models using a variety of methods. We …

Response to survey questionnaires is vital for social and behavioural research, and most
analyses assume full and accurate response by participants. However, nonresponse is …