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Analysis of Data from Designed Experiments

Analysis of Covariance 

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Analysis Using SAS

Analysis  Using  SPSS

 Main Procedure is:  

·         Following are the brief description of the steps along with screen shots.
      Open Data editor: Start
® All Programs ® SPSS for Windows®SPSS 15.0/ SPSS13.0/SPSS10.0

 

 

       For performing analysis, input the data in the following format.

            {Here variety number is termed as trt, replication as rep, tolerance score of each variety as Y  and score of the corresponding susceptible check as X. 
              It may, however, be noted that one can retain the same name or can code in any other fashion}.  

 

·          Enter data in SPSS Data editor. There are two views in SPSS Data Editor. In variable view, one can define the name of variables and variable types string or numeric and data view gives the spreadsheet in which data pertaining to variables may be entered in respective columns.

 

 

  1. To perform analysis of covariance by taking tolerance score of each variety (Y) as dependent variable and score of the corresponding susceptible check (X) as covariate.

·         Once the data entry is complete, Choose Analyze from the Menu Bar. Now select 
              Analyze
® General linear Model ® Univariate.

 

 

·         This selection displays the following screen

 

 

 

·         Select Y and send it to the Dependent Variable box; TRT and REP may be selected for Fixed Factor(s) box and select X and send it to the Covariate(s): box. After doing this the dialog box should be like this.

 

 

 

  • Now define model as per design adopted to analyze the data. A Click on the model displays Univariate: Model dialog box. Click on custom then change the Build Terms as Main effects and send TRT(F), REP(F) and X(C) to the Model box.

             One gets the following screen

 

 

 

      2. To perform all possible pair wise variety comparisons and to identify the best variety one can follow the following steps.

·         Click Continue to return back to the Univariate dialog box, 

·         Now select Option.. and check the box for Compare main effects(LSD is default) for the  multiple pairwise comparison procedure .

·         The following screen appears:

 

 

·         Click on Continue to return back to the Univariate dialog box.

 

 

·         Click on OK to get the output.

 

After creating the data file following syntax may be used in the syntax editor mode to get the output.

 

UNIANOVA

  y  BY rep trt  WITH x

  /METHOD = SSTYPE(3)

  /INTERCEPT = INCLUDE

  /EMMEANS = TABLES(trt) WITH(x=MEAN) COMPARE ADJ(LSD)

  /CRITERIA = ALPHA(.05)

  /DESIGN = rep trt x .

 

Data File

Syntax File

Result File

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Analysis Using SAS                                                             Analysis Using SPSS                                     

  

 

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Descriptive Statistics
Tests of Significance
Correlation and Regression
Completely Randomised Design
RCB Design
Incomplete Block Design
Resolvable Block Design
Augmented Design
Latin Square Design
Factorial RCB Design
Partially Confounded Design
Factorial Experiment with Extra Treatments
Split Plot Design
Strip Plot Design
Response Surface Design
Cross Over Design
Analysis of Covariance
Diagnostics and Remedial Measures
Principal Component Analysis
Cluster Analysis
Groups of Experiments
Non-Linear Models
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Other Designed Experiments
  
(Under Development)

For exposure on SAS, SPSS, 
MINITAB, SYSTAT and
 
MS-EXCEL for analysis of data from designed experiments:

 Please see Module I of Electronic Book II: Advances in Data Analytical Techniques

available at Design Resource Server (www.iasri.res.in/design)