0
votes
2answers
54 views

should i take this variable which consist only 1 question in factor analysis? (all other variables are based on multiple questions)

I'm conducting a study on internet shopping adoption. I'm using a structural model from a research paper. My supervisor has asked me to conduct a factor analysis using SPSS. I'm quite weak in stats ...
0
votes
1answer
39 views

Can I use Mean values of likert resposes instead of factor scores in case of skewed values?

I have five point likert scale responses ((1-most imp, 5-least imp) for 14 items that I want convert them into 5 factors with confirmatory factor analysis. I already have designed which item should go ...
4
votes
1answer
193 views

How to check if factor structures in two groups are similar?

After doing semantic differential experiment with two different group of people, there is need to do Factor Analysis, and after that to compare group's coordinates in factor space. I did factor ...
0
votes
0answers
204 views

Maximum likelihood factor analysis fails

When trying to use maximum likelihood Factor analysis instead of Principle component analysis in SPSS, what are the reasons that I am unable to complete a factor extraction using maximum likelihood. ...
0
votes
0answers
108 views

Factor Analysis…Covariance Matrix help

I'm trying to run a factor analysis in SPSS on a set of social vulnerability data for my thesis. I have 5 communities, with 26 social vulnerability variables for each community. My overall aim is to ...
1
vote
0answers
88 views

In maximum likelihood, pattern matrix, one case $>1.0$

How bad is this for my model? I've used ML (maximum likelihood) with promax rotation and Kaiser on a dataset ($n>300$) to extract underlying factors to build a model. Eigenvalue selection was ...
0
votes
1answer
98 views

Hypothesis testing with latent variables

Summary: I created a model that tries to explain success factors in crowdfunding initiatives. I collected the data by scraping it directly from the crowdfunding platform. That of course limits my ...
5
votes
2answers
94 views

Finding latent variables in 7 dichotomous variables

I have read other posts on conducting Factor analysis (FA) with dichotomous variables and although it appears clear that FA done in the default way is not appropriate, I am still unclear about a few ...
0
votes
0answers
32 views

Impact of some dimensions of one construct on the another construct in a 2-construct model

I have made a model consisting of two constructs, say parents and children, each with several dimensions and set of items (variables). I have used a mixture of Exploratory Factor Analysis (EFA) and ...
2
votes
3answers
2k views

“matrix is not positive definite” - even when highly correlated variables are removed

I am running a factor analysis in SPSS and get a "matrix is not positive definite" error from my correlation matrix. I've tried removing correlated variables, but I have to remove all variables down ...
8
votes
1answer
2k views

Best factor extraction methods, with reference to SPSS

SPSS offers several methods of factor extraction: Principal components (which isn't factor analysis at all) Unweighted least squares Generalized least squares Maximum Likelihood Principal Axis Alpha ...
1
vote
1answer
2k views

Can non normal data be used for factor analysis and multiple regression? If so what is the procedure to justify it?

While I was writing up the analysis in my thesis, I just came across when rechecking my test for normality, that the p-value for most continuous variables was .000, which is less than .05, and it ...
0
votes
0answers
194 views

Does SPSS give factor scores for mean subtracted variables?

From the Johnson's book, I can see the orthogonal factor model is as follows: $X-\mu=LF+\epsilon$ So if I use SPSS for extracting factor scores from a factor analysis of several variables, then am I ...
0
votes
1answer
198 views

Mean regression factor scores and attributes cross tabulation yields. Why are all expected signs reversed?

I ran a factor analysis on 20 reasons for purchasing 4 different goods. These are ranked on a Likert scale from 1 to 5 with 5 being "extremely important", 4 "important", etc. I extracted 4 factors ...
1
vote
1answer
5k views

How to interpret factor scores saved using the regression method in SPSS?

I have 30 attribute variables with response on a 1 to 5 scale (e.g., extremely important, very important, important, not that important, etc.) I ran factor analysis in SPSS and extracted 6 factors and ...
1
vote
1answer
173 views

Multinomial regression with categorical choice and predictos and factor analysis

I have a non-ordinal categorical dependent variable with 3 choice outcomes and 20 ordinal categorical predictors and want to do a multinomial logistic regression. However, I want to reduce the ...
6
votes
2answers
829 views

When is it acceptable to use only two items (variables) per factor in factor analysis?

I have a set of 20 variables that I have put through factor analysis in SPSS. For purposes of the research, I need to develop 6 factors. SPSS has shown that 8 variables (out of 20) have been loading ...
0
votes
0answers
115 views

Is it possible to use factor analysis on census data?

I have some census data of 20 urban regions. I want to use them to combine 5 criteria to determine which region is most deprived. Is it acceptable to use factor analysis?
3
votes
1answer
1k views

Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together

I have some variables and I want to reduce their number for further analysis. I initially thought of combining them using factor analysis. But since the variables are of all kinds (rating, count, ...
2
votes
2answers
151 views

Factor analysis or just stick with compare means?

I would be grateful if somebody could assist me with the questions below This is for my dissertation (I am relatively new to SPSS and indeed to statistics). I have a small set of cases (N=41) of ...
3
votes
1answer
276 views

How many factors to retain in EFA?

I have multiple measures from a scale and I want to determine the best factorial structure using EFA, in SPSS. I don't understand if I can retain the number of factors that I want to retain because ...
3
votes
1answer
7k views

How to calculate Mahalanobis distance in SPSS for an exploratory factor analysis?

I have a question regarding data screening for an exploratory factor analysis (EFA). I am conducting an EFA to identify the factor structure of 20 questions that I created on the topic of ...
3
votes
1answer
502 views

Should EFA be repeated after deletion of items with low factor loadings?

After running Exploratory Factor Analysis in spss v.17 I deleted 4 measurement items which yielded low factor loadings. Now I want to proceed to Confirmatory Factor Analysis to calculate AVE and CR. ...
3
votes
2answers
2k views

Factor analysis for ordinal variables that have different categories

I have a data set that contains about 40 categorical variables that are taken as independent variables (and believed to be related to some unobservable human resource factors) and 4 categorical ...
11
votes
2answers
2k views

Interpreting discrepancies between R and SPSS with exploratory factor analysis

I am a graduate student in computer science. I have been doing some exploratory factor analysis for a research project. My colleagues (who are leading the project) use SPSS, while I prefer to use R. ...
3
votes
1answer
1k views

Can I somehow compute variance explained by PC after Oblique rotation in PCA?

Let´s say that my PCA analysis extracted 2 components, which explain 80% of the variance before rotation. The components were then rotated using oblique (Direct Oblimin) rotation, so SPSS cannot ...
1
vote
1answer
256 views

Problem with Developing a Model for an Exploratory Study (PCA EFA)

*Background:* I am doing an academic study that is more exploratory in nature (my advisor did not want me to develop any hypothesis). So I read books and conducted interviews to try and gather a large ...
2
votes
2answers
1k views

Where can I find information about using SPSS for EFA and CFA? Is PCA (two samples) and reliability sufficient for scale development?

Context: I am in the process of developing a scale for my thesis. My advisor has guided me to using SPSS PCA to complete my analyses. Initially we reduced my scale to 3 factors (her insistence), ...
6
votes
1answer
6k views

How to perform principal components analysis on binary data (using SPSS)?

I have a dataset with a large number of Yes/No responses. Can I use principal components (PCA) or any other data reduction analyses (such as factor analysis) for this type of data? Please advise how I ...
5
votes
3answers
3k views

How to calculate an overall job satisfaction score and test group differences?

I am doing a project on finding out whether there is a difference in job satisfaction between employees of non-profit organisations and for-profit organisations. I also need to find whether job ...
4
votes
1answer
3k views

Factor analysis problem — singular covariance matrix?

I'm having trouble performing factor analysis on my dataset. When I perform the factor analysis in SPSS (default settings), it works fine. Problem is, I need to do it programmatically (in Python). ...
2
votes
3answers
17k views

AVE & composite reliability with SPSS

I have some issues with an exploratory factor analysis. Can anybody please tell me how to calculate the Average Variance Extracted (AVE) and the Composite Reliability from two factors, each with ...
2
votes
0answers
373 views

Factor analysis: regression equation and residuals

I have used factor analysis with regression method. I was trying to develop an index using this regression equation by using the output of the component score coefficient matrix (SPSS) generated for ...
9
votes
4answers
3k views

is psych::principal function still PCA when using rotation?

I have tried to reproduce some research (using PCA) from SPSS in R. In my experience, principal() function from package psych ...