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Analysis of Data from Designed Experiments

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Analysis Using SAS 

 Analysis Using SPSS   

Start →All Programs → SPSS for Windows → SPSS 15.0/ SPSS13.0/ SPSS10.0 (based on the version available on your machine) → Enter data in Data Editor → Analyze → GLM → Univariate  → yield → [puts yield under Dependent list: ] row → [put row under Fixed Factor(s): ]   col → [put col under Fixed Factor(s):]  trt → [put trt under Fixed Factor(s):]  Continue → Model... [Opens Model dialogue box] Custom → Build Term(s) → Main effects → [puts row, col and trt under Model:] → Run All.

 

Data Input:

For performing analysis, input the data in the following format. {Here one can call the row number as row, column number as col and treatments as trt. (It may, however, be noted that one can retain the same name or can code in any other fashion).

 

 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

 

 

·         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. In the present case, we enter data in numeric format. 

 

·         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 yield and send it to the Dependent Variable; row, col and trt may be selected for Fixed Factor(s) box.

 

 

  • Select Model in the Univariate dialog box i.e. Model... [Opens Model dialogue box] Main effects row col → trt [puts row, col and trt under Model:]

         This selection displays the following screen

 

 

·         Click Continue to return to the Univariate dialog box.

·         Click on the Post Hoc tab on the Univariate dialog box. This selection displays the following screen.

 

 

      ·Put trt under the Post Hoc Test for: and in the Equal Variance Assumed option check the Tuckey option for multiple comparison.
    ·    Click Continue to return to the Univariate dialog box.

 

 

·     To test whether the average effect of T3(100kg N/ha applied as urea) and T4(100 kg N/ha ) is same as the average effect of T5(T2 + six insecticidal sprays) and T6(T4 + six insecticidal sprays) click on Paste in the Univariate dialog box. In the syntax editor define the contrast as /Lmatrix 'T3 T4 vs T5 T6' trt 0 0 1 1 -1 -1;

 

 

 

 

 

·      Click Run All.

 

 

To perform the analysis, the following syntax may be used after creating the data file.

 

UNIANOVA

  Yield  BY row col trt

  /METHOD = SSTYPE(3)

  /INTERCEPT = INCLUDE

  /POSTHOC = trt ( TUKEY )

  /CRITERIA = ALPHA(.05)

/Lmatrix 'T3 T4 vs T5 T6' trt 0 0 1 1 -1 -1;

  /DESIGN = row col trt .  

 

Data File

Syntax File

Result File

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   Analysis Using SAS                                                 Analysis Using SPSS                                       

 

Home 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  

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Response Surface Design Cross Over Design  Analysis of Covariance Diagnostics and Remedial Measures 

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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)