Question

Hello,

Please give me step by step solution (screenshot) on how to use the SPSS to solve the following:

To examine the work environment on attitude toward work, an industrial hygienist randomly assigns a group of 18 recently hired sales trainees to three "home rooms" - 6 trainees per room. Each room is identical except for wall color. One is light green, another is light blue, and the third is a deep red. During the week-long training program, the trainees stay mainly in their respective home rooms. At the end of the program, an attitude scale is used to measure each trainer's attitude toward work (a low score indicates a poor attitude and a high score a good attitude). On the basis of these data, the industrial hygenist wants to determine whether there is significant evidence that work environment (i.e., color of room) has an effect on attitude toward work, and if so, which room color(s) appear to significantly enhance attitude using the SPSS ANOVA test.

Here is the data:

Light Green Light Blue Deep Red
46 59 34
51 54 29
48 47 43
42 55 40
58 49 45
50 44 34

What is your conclusion?

Answer 1

H0: There is no significance difference among the means of three groups

H1: There is significance difference among the means of three groups

Let the los be alpha = 5%

Step 1: Define two variables in "Variable View" in SPSS namely Data and Treatment.

Step 2: Change the decimals to 0 for both variables

Step 3: For treatment variable, Click on "Values" then displayed like

Untitled1 [DataSet0] - IBM SPSS Statistics Data Editor Edit Data Transform Analyze Direct Marketing Graphs Add-ons Window Help File View Utilities Label Name Турe Width Decimals Values Missing Columns Align Measure Role 0 Input None 8 iRight Right 1 Data Numeric 8 None Unknown Input 0 8 2 Treatment Numeric None None Unknown Value Labels 4 5 Value Labels Value: 3 Spelling. 7 Label: Deep Red 8 1 = "Light Green 2 = "Ligh Blue 10 Add 3= "Deep Red 11 Change 12 Remove 13 14 15 OK Help Cancel 16 17 18 19 20 21 22 23 24 Data View yariable View

Assign the values 1,2,3 to light green, light blue and red respectively

Step 4: Enter Data value and Treatment values in "Data View" like

Data Treatment var 1 46 1 2 51 1 3 48 1 42 4 58 1 6 50 1 7 59 2 8 54 2 47 2 10 55 2 11 49 2 44 12 2 13 34 3 29 14 3 15 43 3 40 16 3 17 45 3 18 34 3 19 20 21 Variable View Data View 2223

step 5: Click on Analyze -> Compare means -> One-way Anova

"Untitled1 [DataSet0] - IBM SPSS Statistics Data Editor Transform Analyze Direct Marketing File Edit View Data Graphs Utilities Add-ons Window Help Reports Descriptive Statistics 57 Tables Treatment Data Compare Means M Means... 46 General Linear Model Generalized Linear Models t One-Sample T Test.. 51 2 AIndependent-Samples T Test.. 48 3 Mixed Models Paired-Samples T Test... 4 42 Correlate One-Way ANOVA... 5 58 Regression 6 50 Loglinear 7 59 Neural Networks 8 54 Classity 47 Dimension Reduction 10 55 Scale 11 49 Nonparametric Tests 12 44 Forecasting 13 34 Survival 29 14 Multiple Response 15 43 | Missing Value Analysis... 16 40 17 45 Multiple Imputation Complex Samples 18 34 Simulation... 19 20 Quality Control 21 ROC Curve.. 22 23

then

Data Treatment var van var var var var var 46 1 One-Way ANOVA 51 1 48 1 Dependent List Contrasts... 42 1 Data Post Hoc... 58 1 Options... 50 1 Bootstrap... 59 2 54 2 47 2 Factor 55 2 Treatment 49 2 OK Paste Reset Cancel Help 44 2 34 3 29 3 43 3 40 3 45 3 34 3

Click on OK button.

The Output be

Oneway [DataSet0] ANOVA Data Sum of Mean Square Squares df Sig Between Groups 664.333 2 332.167 10.134 .002 Within Groups 491.667 15 32.778 Total 1156.000 17

Test Statistic F = 10.134

Since P-value 0.02 < alpha 0.05 so we reject H0

Thus we conclude that there is significance difference among the means of three groups