Normality in Factor Analysis
Hi, I have a question regarding factor analysis: Is normality an important precondition for using factor analysis? If no, are there any books that justify this. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
FAVOUR - Marking Scripts Statistically!
Hi, I have to mark scripts based on a marking scheme thus: 10 questions of equal weighting, grade each answer from A to F. So each question , obviously, counts for 10%. Given a random set of grades how do I work out a final grade? I considered allocating for each question 10% for an "A", 8% for an"B" through to 0% for an F. I can add up the grades for each question to get a grade out of 100%. However, only 70% or above = an "A", 60 - 69 a "B", 50 - 59 a "C", 40 - 49 a "D" and 30 - 39 = "E" below this is an F. So my idea doesn't work (and wouldn't be very accurate anyway). Any clues to a statistical technique appropriate for this problem? Martin Boulger [EMAIL PROTECTED] = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Significant negative correlation
Hi, I was just wondering if the factor analysis results show significant negative ( 0.3) factor loadings (correlations) on an item, what am I to imply and how do I then calculate the factor score if the same factor loads positively on some items and negatively on some others? Cheers === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
ANOVA data
Can I perform an ANOVA on standardized variables? === This list is open to everyone. Occasionally, people lacking respect for other members of the list send messages that are inappropriate or unrelated to the list's discussion topics. Please just delete the offensive email. For information concerning the list, please see the following web page: http://jse.stat.ncsu.edu/ ===
ANOVA
Is the homogoneity of variance-covariance prerequisite to ANOVA a requirement? If yes, if my data failed the homogoneity of variance-covariance test, should I use a non-parametric test instead or is ANOVA robust enough to be conducted even if the data fails the homogoneity of variance-covariance test? HAIDER. === This list is open to everyone. Occasionally, people lacking respect for other members of the list send messages that are inappropriate or unrelated to the list's discussion topics. Please just delete the offensive email. For information concerning the list, please see the following web page: http://jse.stat.ncsu.edu/ ===
FACTOR ANALYSIS 2
When I perform a factor analysis on the items of a questionnaire should I include items that make up the Dependent Variables (DVs) as well as the Independent Variables (IVs) in the analysis or should I perform two separate factor analysis, one on the items making up the Dependent Variables and another on the items making up the Independent Variables.
FACTOR ANALYSIS
When I perform a factor analysis on the items of a questionnaire should I include items that make up the Dependent Variables (DVs) as well as the Independent Variables (IVs) in the analysis or should I perform two separate factor analysis, one on the items making up the Dependent Variables and another on the items making up the Independent Variables.
Factor Analysis 3
Hi, I am sorry that I am sending a lot of questions related to this subject and here is another question: If some dissimilar iets load on a common factor (the factor does not seem to make sense since it consists of some related and some completely unrrelated items), should I ignore that factor or should I delete the unrrelated items from the factor analysis? Thanks in advance.
Correlation conversion
Hi, Can anyone please tell me how to convert a Kendal-tau correlation to a Pearson correlation.
correlation
Could you please answer this question? Correlation are given in different tables under the headings: 1) Zero-Order Correlation between variables 2) Intervariable correlations 3) orrelation Between factors 4) Pearson Correlation between Variables 5) Intercorrelation between variables 6) correlation matrix Do these have the same meaning but are named differently in different contexts?
