This program for three-factor analysis of variance with repeated measures on two factors is based on an unweighted means analysis, permitting the use of unequal sample sizes. Each factor may be fixed or random since the program will select an appropriate error term or will calculate a quasi-F ratio. The number of possible levels of each factor is extended over those in other programs. Rounding errors are minimized. A special three-factor analysis of variance design in which there are repeated observations on two factors has been used frequently in educational and psychological research. This design has been dis-cussed and illustrated in experimental design text books (Lindquist, 1953, pp. 292-297; Winer, 1971, pp. 539-559). Computer program...
Statistical analysis of large data sets is commonly performed on computers using one of the many ava...
A program is described the purpose of which is to select the most powerful among four methods for co...
In the analysis of variance technique, the author has considered the two-factor experimental design ...
Analysis of variance technique is necessary to test the statistical significance of differences betw...
Analysis of variance technique is necessary to test the statistical significance of differences betw...
The author had prepared the 13 computational programs by FORTRAN language applied to two-factor and ...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
This research will examine the multiple regression programs from major statistical packages and docu...
A general programme for the analysis of factorial experiments is described. The programme was writte...
A personal computer program in BASIC for the two-factor factorial analysis of variance has been deve...
IN factorial analyses of variance, researchers are faced with the problem of finding the correct for...
Two computer programs were developed using a CDC 3100. They were written in FORTRAN IV. One program ...
FACTOR analysis is used for two different theoretical purposes: to search for structure among correl...
This memorandum is the manual for the VARAN (VARiance ANalysis) program, which is the latest additio...
In the previous article, the author has considered the appropriate use of error term to test the sta...
Statistical analysis of large data sets is commonly performed on computers using one of the many ava...
A program is described the purpose of which is to select the most powerful among four methods for co...
In the analysis of variance technique, the author has considered the two-factor experimental design ...
Analysis of variance technique is necessary to test the statistical significance of differences betw...
Analysis of variance technique is necessary to test the statistical significance of differences betw...
The author had prepared the 13 computational programs by FORTRAN language applied to two-factor and ...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
This research will examine the multiple regression programs from major statistical packages and docu...
A general programme for the analysis of factorial experiments is described. The programme was writte...
A personal computer program in BASIC for the two-factor factorial analysis of variance has been deve...
IN factorial analyses of variance, researchers are faced with the problem of finding the correct for...
Two computer programs were developed using a CDC 3100. They were written in FORTRAN IV. One program ...
FACTOR analysis is used for two different theoretical purposes: to search for structure among correl...
This memorandum is the manual for the VARAN (VARiance ANalysis) program, which is the latest additio...
In the previous article, the author has considered the appropriate use of error term to test the sta...
Statistical analysis of large data sets is commonly performed on computers using one of the many ava...
A program is described the purpose of which is to select the most powerful among four methods for co...
In the analysis of variance technique, the author has considered the two-factor experimental design ...