Using One way anova for comparing means of 4 sub factors of a construct

[Avantika Bakshi]

Dear Neeraj Sir & group members

First of all, my sincere gratitude for resolving my last query related to MI's. This group is a blessing in disguise for many researchers and offers a quick solution to their problems. 

At the outset, I have a very basic yet important query with regard to using a statistical test. 

My hypothesis intends on studying ' if there is significant difference across the four sub factors of a construct, for example, sub factors are TK, TCK, TPK and XK of a construct called TPACK,  and if the differences exist, i need further details on which sub factor differs the most. 

I measure the sub factors on 5 point likert scale and donot measure the construct altogether. 

IS doing a ONE way anova by restructuring the data in SPSS,by including one coloumn as (TK,TPK,TCK AND XK) and another coloumn with their individual responses on likert scale an apt solution? IF not, what other statistical tests can be followed? the data is normally distributed. 

Generally, I have used one way anova to study differences in means of these sub factors on the basis of demographic variables (for example, gender or age). Im still unsure of what to do in this case. 

Any response would be helpful. 

Thankyou in anticipation. 

[Neeraj Kaushik]

Plz share an Excel file with your variables and dummy data of DV in it, so that I can understand the problem 

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[avantika bakshi]

Sir 

I am sharing the following: 

1) The actual data coded in SPSS. Each construct of Percived competencies (TK, TCK, TPK XK) had been measured using 3 OR 4  item likert scale. I computed new variables i.e means of TK, TCK, TPK AND XK) [screenshot attached]

2) Now i want to find if differences exist in their means, so I copied the responses of all these in a single column so it shows the scale variable  and in another column I renamed the Percieved competencies (1=TK, 2=TPK, 3-TPK AND 4=XK) as shown in excel file attached. I had collected  439 responses for each. I then applied ANOVA and post hoc test. 

Please let me know if this is right or not. or if there was a simpler method to this and if you need any further information. 

Thankyou for your response. 

Regards

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Avantika Bakshi
UGC NET-JRF
The Business School
University of Jammu (J&K)

[Sunil PICTC]

Results with Multiple linear regression and ANOVA

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[avantika bakshi]

Please elaborate.

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[Neeraj Kaushik]

What Sunil suggests (Using Multiple Regression using dummy vars) is also ok but I think you shd simply apply One-way ANOVA here

I rearranged your data in Excel itself (in 4 cols) and applied One way ANOVA (in Excel)

PFA the results: At least one of the groups differ significantly from the rest in terms of their mean score.

To know which group differ significantly use post hoc analysis either with One way ANOVA in SPSS or One way ANOVA using Megastat

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