Which output is used as factor loading? Is it enough use the Component Matrix output? Then, for example, the Component Matrix output produces 2 Components, from 6 items, item 1 is in Component 2, do I just count into the analysis of items 2 to 6 only, or can I continue to count with the six items, considering that even though item 1 is in Component 2, but the Factor Loading value of item 1 is very high (above 0.8). Thanks for your sharing.

You must use the rotated component matrix, not the component matrix table. You must count every item, not just the ones which have a high value in a specific component. If any item loads into both the components, then you will have to consider it as a part of the component in which the factor loading is high (above 0.5).

Thank’s Miss. I have counted all the items. The result of 6 items in the X1 variable produces 2 components, which are based on the highest factor value (> 0.5): item 1 is in component 2, items 2-6 are in component 1. Because I use variable names that are clear and tested in other studies (not exploratory), can I present in my research only 1 variable according to other research references, then the factor value of item 1 in the component 2 column I merge into the component 1 column so that I get the factor loading value of the X1 variable that I select the highest value from components 1 and 2.

In a factor analysis, there are two types of component matrix which are represented in the form of tables, the first is the rotated component matrix and other one is the component matrix or the unrotated component matrix. The rotated component analysis represent the factor loading of the principal components analysis that represents the correlation among the variables.Through the rotation matrix , we can reduce the number of factors on which the variables have high factor loading. On the other hand , the component matrix represent the extent to which each factor contributes the variable. So, the component matrix which is to be used depends on the extent of data, variables and objectives.

I have 22 statements of factor analysis. everything is done on SPSS just the thing is that i am getting two components tables.so which component table i should analyize and interpretate

Items of the construct 3 can be moved upon component 4 or 5 if the attributes associated with the construct 3 is related to the component 4 or 5. This is because each construct contains the items with the similar set of attributes. In addition to this , each construct explains the extent of similarity of responses to the items within different constructs.
For instance , if there are three constructs: competence , satisfaction and motivation among the employees. Factor analysis would help in examining the extent to which the responses related to motivation are linked with competence items and so on. Thus , items of construct 3 can be separated to component 4 or 5 depends upon the attributes on which these items are based.

1 month & 1 week ago

i really enjoyed the lecture,

1 year & 5 months ago

what is Factor Scores Coefficient Matrix in each factor analyzed in spss? I mean which value is to be considered for factor scores coefficients.

2 years & 3 months ago

May I ask what the negative value in cross-loadings means? Thank you so much

2 years & 9 months ago

Which output is used as factor loading? Is it enough use the Component Matrix output? Then, for example, the Component Matrix output produces 2 Components, from 6 items, item 1 is in Component 2, do I just count into the analysis of items 2 to 6 only, or can I continue to count with the six items, considering that even though item 1 is in Component 2, but the Factor Loading value of item 1 is very high (above 0.8). Thanks for your sharing.

^{}2 years & 9 months ago

You must use the rotated component matrix, not the component matrix table. You must count every item, not just the ones which have a high value in a specific component. If any item loads into both the components, then you will have to consider it as a part of the component in which the factor loading is high (above 0.5).

2 years & 9 months ago

Thank’s Miss. I have counted all the items. The result of 6 items in the X1 variable produces 2 components, which are based on the highest factor value (> 0.5): item 1 is in component 2, items 2-6 are in component 1. Because I use variable names that are clear and tested in other studies (not exploratory), can I present in my research only 1 variable according to other research references, then the factor value of item 1 in the component 2 column I merge into the component 1 column so that I get the factor loading value of the X1 variable that I select the highest value from components 1 and 2.

2 years & 11 months ago

I really appreciated your effort More greese to your elbow, please what of if I want to conduct regression from where you stop. Thanks.

3 years & 8 months ago

I want to interpret my data which I have got it

3 years & 9 months ago

Many thanks for this valuable description:)

^{}5 years & 1 month ago

Hi Krutarth,

In a factor analysis, there are two types of component matrix which are represented in the form of tables, the first is the rotated component matrix and other one is the component matrix or the unrotated component matrix. The rotated component analysis represent the factor loading of the principal components analysis that represents the correlation among the variables.Through the rotation matrix , we can reduce the number of factors on which the variables have high factor loading. On the other hand , the component matrix represent the extent to which each factor contributes the variable. So, the component matrix which is to be used depends on the extent of data, variables and objectives.

5 years & 2 months ago

I have 22 statements of factor analysis. everything is done on SPSS just the thing is that i am getting two components tables.so which component table i should analyize and interpretate

^{}5 years & 2 months ago

Hi Badi , Lwidiko

Items of the construct 3 can be moved upon component 4 or 5 if the attributes associated with the construct 3 is related to the component 4 or 5. This is because each construct contains the items with the similar set of attributes. In addition to this , each construct explains the extent of similarity of responses to the items within different constructs.

For instance , if there are three constructs: competence , satisfaction and motivation among the employees. Factor analysis would help in examining the extent to which the responses related to motivation are linked with competence items and so on. Thus , items of construct 3 can be separated to component 4 or 5 depends upon the attributes on which these items are based.