Analyzing Within-subjects Experiments
Regular price
€51.99
14 days return policy
Shipping & Delivery
A01=John W. Cotton
advanced experimental data analysis
Author_John W. Cotton
Balaam Design
CA RR
Card
carryover
Carryover Effects
Category=JHBC
Category=JMAL
Crossover Design
Data Set
effect
effects
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ES Ti
ESTIMATE Command
Gauss programming techniques
General Linear Models Procedure
glm
Latin Square
matrix vector statistics
Multiple Baseline Designs
Multisample Sphericity
pretest posttest comparison
proc
Proc GLM
program
psychology experimental design
random
Random Subject Effects
randomized block analysis
Randomized Block Design
sequence
Sequence Group
Sphericity Assumption
Split Plot Design
split-plot methodology
St Ag
stage
Stage Effects
TR EA
Transitional Carryovers
treatment
Treatment Effect Difference
Treatment Sequence Group
Y2 YI
Product details
- ISBN 9780805828047
- Weight: 771g
- Dimensions: 152 x 229mm
- Publication Date: 01 Jan 1998
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
Most behavioral scientists know two important concepts -- how to analyze continuous data from randomly assigned treatment groups of subjects and how to assess practice effects for a single group of subjects given a constant treatment at each of several stages of practice. However, except in the case of the repeated measures Latin square design, researchers are not facile in analyzing data from different subjects receiving different treatments at various times in an experiment. This book helps fill the void.
