Best Practices in Logistic Regression | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
A01=Jason W. Osborne
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jason W. Osborne
automatic-update
Category1=Non-Fiction
Category=GPS
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

Best Practices in Logistic Regression

English

By (author): Jason W. Osborne

Jason W. Osbornes Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osbornes applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.

Best Practices in Logistic Regression explains logistic regression in a concise and simple manner that gives students the clarity they need without the extra weight of longer, high-level texts. See more
Current price €85.49
Original price €94.99
Save 10%
A01=Jason W. OsborneAge Group_UncategorizedAuthor_Jason W. Osborneautomatic-updateCategory1=Non-FictionCategory=GPSCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 720g
  • Dimensions: 187 x 231mm
  • Publication Date: 24 Apr 2014
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781452244792

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. 

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
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