Tagged Questions

0
votes
0answers
23 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
2answers
123 views

Using factors scores in a multiple regression [duplicate]

Can factor scores be used as dependent variables in regression? Also, I want to see if demos (e.g. age, SES etc) predict performance in five different cognitive ability tasks. For each task I have ...
0
votes
0answers
104 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 ...
2
votes
1answer
178 views

Confusion related to multicollinearity, FA and regression of heterogeneous data

I am currently working with a data set that contains about 26 IVs of almost all sorts of scale of measurement (binary, nominal, ordinal and interval scale variables). There are strong reasons to ...
2
votes
2answers
111 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 ...
0
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0answers
175 views

How to construct regression after factor analysis in R [closed]

I did factor analysis about some environment factors, then I want to construct the multiple linear regression to see the relathionship between those two factors and one biological factor, the problem ...
2
votes
1answer
58 views

About regressing some variables along with some factors on a DV after a factor analysis

I have used 20 variables to extract 4 factors in a factor analysis. Now I want to use the extracted factors (factor scores) as IVs on an outcome variable. Besides I want to include 4 other variables ...
5
votes
2answers
475 views

Incorporating a response variable in principal component analysis

I'm a biologist, and I have a large dataset that I'm trying to analyze. Here are the variables I'm working with: levels of 211 different metabolites in 16 different blood samples (predictor ...
3
votes
2answers
97 views

Summarization of correlated but noisy measurement data

In an experiment several measurements are taken using similar but different measuring instruments. (The number of measurement tools used in a single experiment could range from 2 to 500 instruments, ...
0
votes
1answer
378 views

Whether and how to calculate adjusted r-squared in factor analysis?

I am using the factanal function in R to conduct factor analysis. Somebody told me that I need to use Adjusted $R^2$ to get more ...
0
votes
1answer
198 views

How to select significant variables for multi-factor regression?

I have a set of data $Y \in \mathbb{R}^n$ and a set of $k$ factors $\{F_1, ..., F_K\}$ with $F_i \in \mathbb{R}^n ~ \forall i$. I would like to perform a factor analysis which consits in finding ...
0
votes
1answer
78 views

How much do answers A,B,C link with the answer on question D?

I have 9 questions in 3 different blocks where you answer with a number (1-7). And there is a question (how did you like this place overall?) that is answered (1-10). I need a way to find out how much ...
2
votes
3answers
802 views

How to analyse a ranking and rating scale together?

For a market research; consumers are asked to rank the features of a product based on the priority. For example, Rank the following features for a device based on your priority (1 being the top most ...
3
votes
2answers
125 views

How can I calculate a rate between two “moving” data sets?

I own a software business that follows a common pattern: Interested people can download the software and try it free for 30 days, and if they like it, they can buy it at any time during those 30 days ...
1
vote
1answer
278 views

Assessing multicollinearity of factors

I have a multifactor model (with 7 factors currently) and 754018 observations. In order to check for multicollinearity issues as the model grows I wrote an R script to compute a correlation matrix ...
1
vote
0answers
302 views

How can I improve a simple regression here?

I'm trying to solve the following issue : Let's say that I have three normal random variables a,b,c, non correlated. Let's say that I only have two observations of these, M and N where : ...