Experimental Design in Behavioural ResearchThe Book Has Been Addressed To The Students And Researchers In The Disciplines Of Psychology, Education, Sociology, Social-Work, Medicine, Management, And Allied Disciplines. It Has Been Written For Those Who Do Not Possess Sophisticated Mathematical Background. Various Designs And Their Analyses Have Been Presented In Simple Understandable Language. The Intended Emphasis Is To Make The Reader Understand The Basic Principles Of Experimental Design, Layout For Data Collection, Analysis Of Data, Interpretation Of Results Of Experimental Outcome. It Offers An Integrated Approach Placing Due Emphasis On Theory, Application, And Computational Procedures. Schematic Representations Of Analysis For Each Design Is A Novel Feature Of This Book, It Makes The Analysis Simple And Easy To Comprehend. Each Design Includes General Layout For Data Collection, Schematic Representation Of The Analysis, Followed By Numerical Example With Detailed Solution And Interpretation. Numerous Illustrations, Many From Published Research, Are Provided With The Intent To Equip The Reader To Develop Insight Into The Intricacies Of Research Strategy. Special Treatment Has Been Given To Within Subject And Mixed Designs. Multivariate Analysis Of Variance, Analysis Of Covariance, And Also Analysis Of Variance By Ranks Have Been Included. |
Contents
An Introduction | 2 |
BASIC TERMINOLOGY OF STATISTICAL ANALYSIS | 15 |
The Foundation of Experimental Design | 19 |
Single Factor Experiments | 58 |
Comparison Among Treatment Means | 81 |
Repeated Measures | 114 |
Two Factors pxq | 135 |
Three Factors pxqxr | 183 |
Latin Square Designs | 222 |
CrossOver and GrecoLatin Square Designs | 270 |
Contents | 298 |
Repeated Measures | 333 |
Higher Dimensional Designs | 397 |
Single Factor | 408 |
270 | 418 |
Common terms and phrases
a₂ AC sum analysis of variance ANOVA Ax Ss block c₁ cells sum component Computation correction term critical value Cx Ss degrees of freedom df attributable df General Form differences divided effect of factor exceeds the critical experiment with repeated experimental design F ratios finally the correction freedom associated groups sum grps Latin square design layout levels of factor main effect null hypothesis number of levels number of observations number of subjects numerical example orthogonal polynomials outcome Partitioning of Total presented in Table pxqxr random randomly repeated measures respect scores Similarly simple effects Source of Variation squares due SS and df Ss SS Ss summary table Ss within groups SSAB STEP subjects sum subjects within groups sum of squares term is subtracted total number Total SS total sum Total Variation treatment combinations treatment means treatment sum Type I error variable Variation and df variation due