Cantitate/Preț
Produs
Total produse
Vezi coșul
Regression Inside Out de Eric W Schoon

Regression Inside Out

Autor Eric W Schoon, David Melamed, Ronald L Breiger
en Limba Engleză Hardback – 22 feb 2024
Demonstrates new techniques for interpreting and applying linear statistical analysis – the predominant quantitative method in the social and policy sciences. These methods will help advance substantive thinking in quantitative and mixed-method analysis throughout the social sciences and beyond.
Citește tot Restrânge

Preț: 58267 lei

Preț vechi: 65469 lei
-11%

Puncte Express: 874
Paperback 23302 lei
Hardback 58267 lei

Carte tipărită la comandă

Livrare economică 12-26 octombrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781108841108
ISBN-10: 1108841104
Pagini: 282
Dimensiuni: 170 x 244 x 18 mm
Greutate: 0.65 kg
Editura: Cambridge University Press

Notă biografică

Eric W. Schoon is Associate Professor of Sociology at The Ohio State University. His research interests include case-oriented and relational methods, sociological theory, and cultural dimensions of contentious politics. His work has appeared in outlets including American Sociological Review, Journal of Politics, Social Forces, and Social Problems.

Cuprins

1. Regression inside out; Part I: 2. OLS inside out; 3. Generalizing regression inside out; 4. Turning variance inside out with Eunsung Yoon; Part II: 5. Action detection; 6. Interaction detection; Part III: 7. RIO as a gateway to case selection; 8. RIO as a gateway to configurational comparative analysis; 9. RIO as a gateway to field theory; 10. Conclusion; Appendix A: A brief introduction to matrices and matrix multiplication; Appendix B: Computation of the singular value decomposition (SVD); Appendix C: Variance for binomial and count outcomes; Appendix D: Compositional effects in using RIO to detect statistical interactions; Appendix E: Monte Carlo simulation detecting interactions by regressing on rows of P.