Results: evaluacion.sas

The GLM Procedure

The GLM Procedure

Data

Class Levels

Class Level Information
Class Levels Values
prototype 2 RelintBot1 RelintBot2

Number of Observations

Number of Observations Read 22
Number of Observations Used 22

The GLM Procedure

 

Dependent Variable: t1_correct_answers t1_correct_answers

Analysis of Variance

t1_correct_answers

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 2.22727273 2.22727273 2.43 0.1350
Error 20 18.36363636 0.91818182    
Corrected Total 21 20.59090909      

Fit Statistics

R-Square Coeff Var Root MSE t1_correct_answers Mean
0.108168 23.16571 0.958218 4.136364

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
prototype 1 2.22727273 2.22727273 2.43 0.1350

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
prototype 1 2.22727273 2.22727273 2.43 0.1350

Box Plot

Fit Plot for t1_correct_answers by prototype

The MEANS Procedure

The Means Procedure

Summary statistics

Analysis Variable : t1_correct_answers t1_correct_answers
prototype N Obs N Mean Std Dev Minimum Maximum
RelintBot1 11 11 3.8181818 0.9816498 3.0000000 5.0000000
RelintBot2 11 11 4.4545455 0.9341987 2.0000000 5.0000000

The MEANS Procedure

The Means Procedure

Summary statistics

Analysis Variable : sus_score sus_score
prototype N Obs N Mean Std Dev Minimum Maximum
RelintBot1 11 11 82.5000000 14.1421356 55.0000000 100.0000000
RelintBot2 11 11 86.8181818 10.0056802 72.5000000 100.0000000

The GLM Procedure

The GLM Procedure

Data

Class Levels

Class Level Information
Class Levels Values
prototype 2 RelintBot1 RelintBot2

Number of Observations

Number of Observations Read 22
Number of Observations Used 22

The GLM Procedure

 

Dependent Variable: sus_score sus_score

Analysis of Variance

sus_score

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 102.556818 102.556818 0.68 0.4182
Error 20 3001.136364 150.056818    
Corrected Total 21 3103.693182      

Fit Statistics

R-Square Coeff Var Root MSE sus_score Mean
0.033043 14.46952 12.24977 84.65909

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
prototype 1 102.5568182 102.5568182 0.68 0.4182

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
prototype 1 102.5568182 102.5568182 0.68 0.4182

Box Plot

Fit Plot for sus_score by prototype

The GLM Procedure

The GLM Procedure

Data

Class Levels

Class Level Information
Class Levels Values
prototype 2 RelintBot1 RelintBot2
user 11 1 2 3 4 5 6 7 8 9 10 11

Number of Observations

Number of Observations Read 22
Number of Observations Used 22

The GLM Procedure

 

Dependent Variable: sus_score sus_score

Analysis of Variance

sus_score

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 11 2384.375000 216.761364 3.01 0.0465
Error 10 719.318182 71.931818    
Corrected Total 21 3103.693182      

Fit Statistics

R-Square Coeff Var Root MSE sus_score Mean
0.768238 10.01814 8.481263 84.65909

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
prototype 1 102.556818 102.556818 1.43 0.2600
user 10 2281.818182 228.181818 3.17 0.0413

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
prototype 1 102.556818 102.556818 1.43 0.2600
user 10 2281.818182 228.181818 3.17 0.0413

Interaction Plot

Interaction Plot for sus_score by prototype

The GLM Procedure

Random Effects Analysis

Model Expected Mean Squares

Source Type III Expected Mean Square
prototype Var(Error) + Q(prototype)
user Var(Error) + 2 Var(user)