Regression & Linear Modeling: Best Practices and Modern Methods | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
A01=Jason W. Osborne
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jason W. Osborne
automatic-update
Category1=Non-Fiction
Category=PBT
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch

Regression & Linear Modeling: Best Practices and Modern Methods

English

By (author): Jason W. Osborne

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. The author returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models. See more
Current price €134.89
Original price €141.99
Save 5%
A01=Jason W. OsborneAge Group_UncategorizedAuthor_Jason W. Osborneautomatic-updateCategory1=Non-FictionCategory=PBTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 1100g
  • Dimensions: 177 x 254mm
  • Publication Date: 21 Jun 2016
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781506302768

About Jason W. Osborne

Jason W. Osborne is a thought leader and professor in higher education. His background in educational psychology statistics and quantitative methods along with that gleaned from high-level positions within Academia gives a unique perspective on the real-world data factors. In 2015 he was appointed Associate Provost and Dean of the Graduate School at Clemson University in Clemson South Carolina. As well as Associate Provost at Clemson University Jason was a Professor of applied statistics at the School of Mathematical Sciences with a secondary appointment in Public Health Science. In 2019 he took on the role of Provost and Executive VP for Academic Affairs at Miami University. As Provost Jason implemented a transformative strategic plan to reposition the institution as one prepared for new challenges with a modern compelling curriculum a welcoming environment and enhanced support for student faculty positions and staff. In 2021 he was named by Stanford University as one of the top 2% researchers in the world underlining his commitment to world-class research methods across particular domains ultimately influencing a generation of learners. Currently Jason teaches and publishes on data analysis best practices in quantitative and applied research methods. He has served as evaluator or consultant on research projects and in public education (K-12) instructional technology health care medicine and business. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment Research and Evaluation). Jason W Osborne also publishes on identification with academics and on issues related to social justice and diversity. He has written seven books covering topics to communicate logistic regression and linear modeling exploratory factor analysis best practices and modern research methods data cleaning and numerous other topics. 

We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept