How to Compute for the Construct Mean and Standard Deviation in SPSS

 
What is a construct?
  • In the context of survey research, a construct is an abstract idea, underlying theme, or subject matter that one wishes to measure using survey questions. As a cohesive set, the dimensions of a construct define the construct. Some constructs are relatively simple and do not have many dimensions [1]. Structural equation models are often used to assess unobservable 'latent' constructs [2]. Examples are from the theory of planned behavior (TPB) but modified in the context of purchasing organic rice.
Computing for the construct mean in every case


Step-by-step procedure:
  • First, you need to compute the mean of the construct’s items in every case (see above).
    1. In SPSS, go to Transform — Compute variable.
      • A window will pop-out 'Compute Variable'.
    2. Do the following in the 'Compute Variable' window:
      • In the target variable box, type the name of the variable as MEAN_ATT, for example for mean for attitude variable.
      • In the numeric expression box, do the manual computation by throwing in the item and using the given calculator buttons — Click OK.
      • (ATT_1 + ATT_2 + ATT_3) / 3 for example for Attitude construct which has 3 items.
    3. Go to the 'Variable View' and you will see the new variables created there.
      • Do these steps with one construct at a time.
      • Examples of these variables and items are shown below.
Constructs and measurement items from TPB modified in the context of organic food consumption

  • Second, compute for the overall construct mean and SD using the newly computed variables.
    1. In SPSS, go to Analyze — Descriptive statistics — Frequencies.
      • A window will pop-out 'Frequencies'.
    2. Do the following in the 'Frequencies' window:
      • Throw in the new variables.
      • Click the statistics button.
      • A window will pop-out 'Frequencies: Statistics'.
    3. In the 'Frequencies: Statistics' window:
      • Check for Mean (Central Tendency section) and Std. deviation (Dispersion section) — click Continue.
    4. Click Ok
      • You will see the result in the 'Statistics' section of the output.
Computing for the overall mean and SD

Results generated from the output window


Hope this helps. :)


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