Cantitate/Preț
Produs

Random Factors in ANOVA: Quantitative Applications in the Social Sciences, cartea 98

Autor Sally A. Jackson, Dale E. Brashers
en Limba Engleză Paperback – 21 feb 1994
When using the analysis of variance (ANOVA) in an experimental design, how can the researcher determine whether to treat a factor as fixed or random? This book provides the reader with the criteria to make the distinction between fixed and random levels among factors, an important decision that directly reflects the purpose of the research. In addition to exploring the varied roles random factors can play in social research, the authors provide a discussion of the statistical analyses required with random factors and give an overview of computer-assisted analysis of random factor designs using SAS and SPSSX.
Citește tot Restrânge

Din seria Quantitative Applications in the Social Sciences

Preț: 28005 lei

Nou

Puncte Express: 420

Preț estimativ în valută:
5360 5587$ 4462£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780803950900
ISBN-10: 080395090X
Pagini: 80
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.1 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Fixed and Random Factors
Designs With Random Factors
Statistical Analysis
Statistical Assumptions
Interpretation
Statistical Power
Computer-Assisted Analysis of Designs With Random Factors
Conclusion

Descriere

When using the analysis of variance (ANOVA) in an experimental design, how can the researcher determine whether to treat a factor as fixed or random? This book provides the reader with the criteria to make the distinction between fixed and random levels among factors, an important decision that directly reflects the purpose of the research. In addition to exploring the varied roles random factors can play in social research, the authors provide a discussion of the statistical analyses required with random factors and give an overview of computer-assisted analysis of random factor designs using SAS and SPSSX.