SPSS (Statistical Package for the Social Sciences) is a proprietary cross-platform general-purpose statistical software package.
125
votes
20answers
34k views
Python as a statistics workbench
Lots of people use a main tool like Excel or another spreadsheet, SPSS, STATA, or R for their statistics needs. They might turn to some specific package for very special needs, but a lot of things can ...
17
votes
4answers
9k views
Fisher's Exact Test in contingency tables larger than 2x2
I was taught to only apply Fisher's Exact Test in contingency tables that were 2x2.
Questions:
1) Did Fisher himself ever envision this test to be used in tables larger than 2x2 (I am aware of the ...
14
votes
11answers
1k views
Best way to get started with and learn R
I have tried several times to "go it on my own" - but with limited success. I am a casual SPSS user and some SAS experience.
Would appreciate a pointer or two from someone who has similar background ...
14
votes
3answers
5k views
When is R squared negative?
My understanding is that R squared cannot be negative as it is the square of R. However I ran a simple linear regression in SPSS with a single independent variable and a dependent variable. My SPSS ...
11
votes
4answers
3k views
Visualizing Likert responses using R or SPSS
I have 82 respondents in 2 groups (43 in Group A and 39 in Group B) that completed a survey of 65 Likert questions each ranging from 1 – 5 (strongly agree - strongly disagree). I therefore have a ...
11
votes
2answers
1k 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. ...
10
votes
5answers
1k views
Stepwise logistic regression and sampling
I am fitting a stepwise logistic regression on a set of data in SPSS. In the procedure, I am fitting my model to a random subset that is approx. 60% of the total sample, which is about 330 cases.
...
8
votes
4answers
222 views
Internet statistics resources suitable for psychology students doing research
I am working on a new webpage for my part-time job as a methodological/statistical consultant for (psychology) students at my university. On this website I would like to place several links to online ...
7
votes
4answers
2k 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 ...
7
votes
2answers
5k views
Understanding repeated measure ANOVA assumptions for correct interpretation of SPSS output
I am investigating whether different reward conditions may affect task performance. I have data from a small study with two groups, each with n=20. I collected data on a task that involved performance ...
7
votes
2answers
2k views
Bonferroni correction with Pearson's correlation and linear regression
I am running stats on 5 IVs (5 personality traits, extroversion, agreeableness, conscientiousness, neuroticism, openness) against 3 DVs Attitude to PCT, Attitude to CBT, Attitude to PCT vs CBT. I also ...
7
votes
1answer
1k views
Unexpected singularities in the Hessian matrix error in multinomial logistic regression
I have been doing multinomial logistic regression analysis using SPSS 19.
I have encountered the following problem when I run the analysis procedure:
"Unexpected singularities in the
Hessian ...
6
votes
5answers
2k views
Better Classification of default in logistic regression
Full Disclosure: This is homework. I've included a link to the dataset ( http://www.bertelsen.ca/R/logistic-regression.sav )
My goal is to maximize the prediction of loan defaulters in this data set. ...
6
votes
3answers
3k views
Sidak or Bonferroni?
I am using a generalized linear model in SPSS to look at the differences in average number of caterpillars (non-normal, using Tweedie distribution) on 16 different species of plants.
I want to run ...
6
votes
3answers
680 views
Multinomial logistic regression assumptions
What are the proper assumptions of Multinomial Logistic Regression? And what are the best tests to satisfy these assumptions using SPSS 18?
6
votes
1answer
87 views
Getting an average measurement based on two raters for cases where data is missing for one rater
Context:
I'm investigating behaviour in a clinical study involving children. I had both parents and teachers completing questionnaires to inform an understanding of the same underlying constructs, ...
6
votes
2answers
379 views
Hypothesis testing that one time-series of a measure of entropy doesn't belong to a population
Disclaimer: I'm a software engineer, not a statistician, so please forgive any blunt error :-)
I have a set of time-series "curves", each measuring the entropy of a given artifact. Now, I'm standing ...
6
votes
1answer
247 views
Wald vs. LR $\chi^2$ tests in SPSS generalized linear models
I'm using the generalized linear models function in SPSS with a normal distribution and identity link function. If I choose the likelihood ratio $\chi^2$ statistic, I get the same results as the ...
6
votes
1answer
790 views
How to do a repeated measures multinomial logistic regression using SPSS?
Question:
Can you do a repeated measures multinomial logistic regression using SPSS?
Context:
I need to do a regression on data at two points of time and I think this maybe the only way to go(?).
...
6
votes
1answer
459 views
Multiple imputation questions for multiple regression in SPSS
I am currently running a multiple regression model using imputed data and have a few questions.
Background:
Using SPSS 18. My data appears to be MAR. Listwise deletion of cases leaves me with only ...
6
votes
1answer
342 views
Derivation of distance in two-step clustering
I am working with the two step cluster process in SPSS Modeler (Clementine) and trying to get a sense for the distance function used. It is a log-likelihood function (as stated in docs) but I am ...
5
votes
3answers
3k views
Difference between generalized linear models & generalized linear mixed models in SPSS
I am wondering what the differences are in SPSS between
analyze-> generalized linear models-> generalized linear models &
...
5
votes
2answers
280 views
Can statistical prediction be asymmetric?
Thus can we have random variables $X_1 , ... , X_n$ , each with zero mean and unit variance, such that for a sizeable representative sample:
(1) in the least-squares regression equation for $X_1$ ...
5
votes
3answers
915 views
Is 0 a valid value in a Likert scale?
I have carried out my pilot study on language learning motivation using a 6 point Likert scale but from 0 (strongly disagree) to 5 (very much agree). I noticed a colleague in his survey used 1 to 6. ...
5
votes
3answers
2k views
Testing whether two regression coefficients are significantly different
I'm hoping somebody can help me out with this question.
For a study I did a path analysis, which looks like this:
...
5
votes
3answers
2k 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 ...
5
votes
2answers
1k views
What to do when assumptions are not met in a chi squared test?
I am doing an analysis on a “a priori segmentation”. In order to examine significant differences between the two segments crosstabs and the chi-square test were used.
Type of variables: categorical
...
5
votes
2answers
390 views
Cox regression when reference group had zero events
I would appreciate some advise on an a problem I ran into.
I use SPSS for statistical analysis of a study.
The study look into how a blood test predicts mortality with patients followup of 1 year. ...
5
votes
4answers
3k views
How to perform pooled cross-sectional time series analysis?
For 86 companies and for 103 days, I have collected (i) tweets (variable hbVol) about each company and (ii) pageviews for the corporate wikipedia page (...
5
votes
4answers
303 views
What regression analysis should I perform on my data and why?
I am a law student researching which factors influence the CSR (corporate social responsibility, GSE_RAW) behavior of companies. As my studies didn't offer any ...
5
votes
1answer
331 views
How to calculate weighted Hedges' g effect size in meta-analysis when some effect sizes share a control group?
I am trying to do a meta-analysis using Hedges' G as the effect size.
Questions
Some of the studies have different groups but the same control group. How does this change the computation and ...
5
votes
2answers
1k views
Post hoc test in a 2x3 mixed design ANOVA using SPSS?
I have two groups of 10 participants who were assessed three times during an experiment. To test for differences between groups and across the three assessments, I ran a 2x3 mixed design ANOVA with ...
5
votes
3answers
532 views
5
votes
1answer
1k views
Generalized estimating equations output in SPSS
I am hoping to confirm that I have a suitable way to analyse the different proportions of people who are categorized as left lateralised on the one hand, or bilateral/right lateralised on the other in ...
5
votes
0answers
87 views
Balanced repeated measures design
Okay this is my problem:
I have 12 participants.
Each participant spent 3 nights in my lab doing a reaction time task at four timepoints during the night(12, 1, 2 and 3 oclock), with one week ...
4
votes
2answers
338 views
Is there a limit to the SPSS random number generator?
Will the random number generator in SPSS be serviceable if I need 250,000 random numbers, or will the randomness start to degenerate?
Asked another way, what practical limits are there to using the ...
4
votes
3answers
1k views
How to do post-hoc tests with logistic regression?
I looked at whether participants recycled after being subjected to a given message. There were three groups: a Control group, group A, and group B.
Since my dependent measure was dichotomous ...
4
votes
2answers
1k views
How to correctly treat multiple data points per each subject
I am currently arguing with someoe on how to correctly treat data with multiple measurements for each subject. In this case data was gathered for each subject within a short time for different ...
4
votes
3answers
2k views
Checking normality of a Likert scaling question
I have likert scale responses (1-5 rating) of 20 respondents for a set of 25 questions. So that means that each respondent has answered 25 questions (with 1-5 rating). If I need to check the normality ...
4
votes
2answers
115 views
R p-value half to SPSS rANOVA
I have done rANOVA in SPSS and then in R and got two different p-values from the same model. While SPSS gives 0.032, R gives 0.0162, which when rounded is a half. Other data are exactly the same.
1. ...
4
votes
2answers
2k views
How to test for normality in a 2x2 ANOVA?
Study Design: I showed participants some information about sea-level rise, focusing the information in different ways, both in terms of the time-scale and the magnitude of potential rise. Thus I had a ...
4
votes
2answers
9k views
How to deal with not-binary categorical variables in logistic regression (SPSS)
I have to do a binary logistic regression with a lot of independent variables. Most of them are binary. Few ones are categorical with more than two possible values.
Which is the best way to deal with ...
4
votes
2answers
449 views
Longitudinal relationship between chocolate consumption and happiness: repeated measures ANOVA?
I am using SPSS and having some trouble with a research question which is analogous to the hypothetical question:
Is there a longitudinal Relationship between Happiness and Chocolate Consumption?
...
4
votes
3answers
6k views
Can I use multiple regression when I have mixed categorical and continuous predictors?
It looks like you can use coding for one categorical variable, but I have two categorical and one continuous predictor variable. Can i use multiple regression for this in SPSS and if so how?
thanks!
4
votes
2answers
2k views
Checking factor / covariate independence in ANCOVA
One of the ANCOVA assumptions, as I read it here, says that:
Independent variables orthogonal to covariates. In traditional ANCOVA, the independents area assumed to be orthogonal to the factors. If ...
4
votes
1answer
314 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 ...
4
votes
2answers
259 views
Generalized Linear Model in SPSS with common values among predictors treated as subpopulations. Why?
I am teaching a class on logistic regression with SPSS. The textbook supplies a sample data set with a binary predictor and two numeric covariates. The sample contains 1000 rows and a number of these ...
4
votes
1answer
3k views
How to perform principal components analysis on binary (Yes/No) data using SPSS?
I have a dataset with a large number of Yes/No responses. Can I use PCA or any other data reduction analyses for this type of data? Please advise how I go about doing this using SPSS.
4
votes
1answer
2k 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). ...
4
votes
3answers
418 views
“Multiple response” analysis of arrest records
Background:
I'm a junior researcher at an institute dealing with regional issues, particularly involving drug policy. Almost two years ago, one of our senior researchers began collecting arrest data ...
