The scores tag has no wiki summary.
0
votes
1answer
1k views
How to interpret factor scores saved as Reg variables in SPSS?
How do I interpret the factor scores that I save as Regression variables with SPSS? I have 30 attribute variables with reponses such as extremely important, very important, important, not that ...
1
vote
0answers
9 views
How to create subscale scores for 4 subscales of the REI using SPSS? [migrated]
I need to create subscale scores for 4 subscales of the REI: REI_Appear; REI_Hlth; REI_Mood; REI_Enjoy. The items comprising each subscale are as follows:
Appearance (9 items): 1, 5, 9, 13, 16, 17, ...
0
votes
0answers
28 views
Predicting Risk based on weighted data
I am looking for a formula I can use in Excel that will provide a risk score from 1 - 10 with 10 being high risk. I have a set of 15 data items (i will add more in future) which are weighted on a ...
0
votes
0answers
27 views
Fitting Mancova model on factor scores
I have two matrices with multiple variables. The two matrices come from same sample.I would call them matrix A and Matrix B.Each of them have many correlated variables .
I would want to evaluate the ...
0
votes
0answers
240 views
Method to output statistical score when validating using bootstrap method on ordinal logistic regression model
It is about sas programming. Thank you in advance.
I build an ordinal logistic regression model on my data.
...
3
votes
0answers
93 views
Shifted intercepts in logistic regression
I have a question about the effects of shifting the intercept in a logistic fit on the mean of a particular transformation of the scores.
Here is the notation I will be using for the question. The ...
1
vote
0answers
107 views
Using z-Score for multiple comparisons
I have data collected from three groups and I would like to calculate the z-score using the grand mean and variance of the combined three groups. Would it be possible to then compare the z-scores of ...
3
votes
2answers
425 views
Are composite variables (eg. a score) valid to perfom a SEM in AMOS?
I have a resilience scale with 11 items (observed variables), from which I calculated the mean to get a "resilience score" (what would usually be an unobserved variable or latent construct in SEM ...
5
votes
1answer
75 views
Designing a Simple (a.k.a 'bad') Ranking value from several values of unknown distribution
I am but a humble developer, so please forgive if I butcher terminology of confuse concepts.
I am looking at designing a simple ranking of Average Internet Audience Rank based upon a bloggers ...
0
votes
0answers
109 views
Weight variables to develop scoring algorithm
I am studying how to develop a prognostic index in medicine. I have read some articles and in all of them metholodgy is quite the same. Most of them use logistic regression, choose variables and build ...
18
votes
7answers
19k views
What are principal component scores?
I know this is probably simplistic but what are Principal component scores?
This question originates from my attempt to understand this question here.
1
vote
2answers
218 views
Split-half reliability on binary scores
I'm very new at statistics, so excuse me if my questions are to simple or obvious.
I have a dataset with response times for two conditions. These response times were converted into a binary score of ...
2
votes
0answers
95 views
Is it possible (or even usefull) to transform Log transformed data into Z-scores?
We have created a questionnaire. In this questionnaire there are different dimensions with different answering scales.
Because of our rightly skewed data we log transformed our data. But here is the ...
1
vote
1answer
2k views
Computation of composite score or summed score from Likert scale
I am proposing a survey for my research proposal in speech therapy. There is a set of guidelines that speech therapists are supposed to follow, so that all questions are conceptually related - so that ...
0
votes
1answer
145 views
How to determine the accuracy of a statement?
Scenario:
Consider a statement, e.g. "This movie is an action"
Then let people vote on that. 1-5 where 1 is "Not action", 3 is "Some action" and 5 is "Pure action".
Question
How does one determine ...
15
votes
3answers
12k views
What's the difference between Normalization and Standardization?
At work we were discussing this as my boss has never heard of normalization. In Linear Algebra, Normalization seems to refer to the dividing of a vector by its length. And in statistics, ...
1
vote
3answers
624 views
Is using a questionnaire score (EuroQol's EQ-5D) with a bimodal distribution as outcome in linear regression a problem?
There is currently a debate whether the EQ-5D score that has a ceiling problem and a bimodal distribution can be used in a linear regression model or not.
Background
The score is very simple and ...
12
votes
6answers
3k views
PCA scores in multiple regression
A while ago a user on R-help mailing list asked about the soundness of using PCA scores in a regression. The user is trying to use some PC scores to explain variation in another PC (see full ...
1
vote
1answer
248 views
Combining metrics for score card
We are building a score card system to measure the performance of various groups in the organization. The scores are generated by true / false metrics on individual transactions that each group ...
0
votes
0answers
65 views
How can I avoid artificially inflating percentages?
I'm currently analyzing my data for one of my studies for my PhD dissertation in psychology. I'm hoping someone can help me with a problem I'm having...
I've conducted a study in which participants ...
5
votes
2answers
774 views
Weight a rating system to favor items rated highly by more people over items rated highly by fewer people?
Thanks in advance for bearing with me, I am not a statistician of any kind and don't know how to describe what I'm imagining, so Google isn't helping me here...
I'm including a rating system in a web ...
3
votes
2answers
310 views
How to measure/weight the importance of tags?
Lets say we have $T$ tags and $N$ articles and lets say that for each tag $t_{i}$ we know that it has tagged $n_{i}$ articles. Meaning that, frequency($t_{i}$)=$n_{i}$.
Given the above information ...
