SPSS (Statistical Package for the Social Sciences) is a proprietary cross-platform general-purpose statistical software package.

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186
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21answers
59k 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 ...
31
votes
7answers
3k views

Why is “statistically significant” not enough?

I have completed my data analysis and got "statistically significant results" which is consistent with my hypothesis. However, a student in statistics told me this is a premature conclusion. Why? Is ...
20
votes
4answers
18k 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: Did Fisher himself ever envision this test to be used in tables larger than 2x2 (I am aware of the ...
18
votes
3answers
17k 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 ...
15
votes
11answers
2k 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 ...
15
votes
4answers
6k 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 ...
12
votes
3answers
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. ...
11
votes
5answers
2k 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. ...
11
votes
3answers
7k 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 & ...
11
votes
4answers
4k 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 ...
9
votes
3answers
3k views

CHAID vs CRT (or CART)

I am running a decision tree classification using SPSS on a data set with around 20 predictors (categorical with few categories). CHAID (Chi-squared Automatic Interaction Detection) and CRT/CART ...
9
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 ...
8
votes
4answers
254 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 ...
8
votes
1answer
2k 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 ...
7
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. ...
7
votes
4answers
2k 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. ...
7
votes
2answers
847 views

Differences in kurtosis definition and their interpretation

I have recently realised that there are differences in the kurtosis values provided by SPSS and Stata. See http://www.ats.ucla.edu/stat/mult_pkg/faq/general/kurtosis.htm My understanding is that the ...
7
votes
3answers
7k 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 ...
7
votes
2answers
7k 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
3answers
4k 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: ...
7
votes
1answer
7k views

How to perform principal components analysis (or factor 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 ...
7
votes
2answers
5k 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 ...
7
votes
3answers
1k 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?
7
votes
3answers
2k views

Choice between Type-I, Type-II, or Type-III ANOVA

We have a dataset with three variables (dV: self-reported measure on scale 1-5, assumed to be metric; iV1: factor with 4 levels; iV2: factor with 8 levels). We are interested whether the dV differs in ...
7
votes
2answers
5k 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
798 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
2answers
17k views

How to deal with non-binary categorical variables in logistic regression (SPSS)

I have to do binary logistic regression with a lot of independent variables. Most of them are binary, but a few of the categorical variables have more than two levels. What is the best way to deal ...
6
votes
4answers
5k 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 (...
6
votes
2answers
1k 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 ...
6
votes
1answer
113 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
467 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
426 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
988 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
468 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 ...
6
votes
0answers
117 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 ...
5
votes
3answers
847 views

My distribution is normal; Kolmogorov-Smirnov test doesn't agree

I have a problem with the normality of some data I have: I've done a Kolmogorov test which says it isn't normal with p=.0000, I don't understand: the skewness of my distribution =-.497, and the ...
5
votes
2answers
287 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
2answers
3k views

Logistic Regression: Classification Tables a la SPSS in R

In SPSS output there is a pretty little classification table available when you perform a logistic regression, is the same possible with R? If so, how?
5
votes
4answers
3k views

Difference between binomial, negative binomial and Poisson regression

I am looking for some information about the difference between binomial, negative binomial and Poisson regression and for which situations are these regression best fitted. Are there any tests I can ...
5
votes
1answer
485 views

Justification for low/high or tertiary splits in ANOVA

I have two groups of participants and they all took the same measurements. When I perform a median split on one of the measurements to test my hypothesis about an interaction, the dependent ...
5
votes
3answers
4k 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
203 views

Correlation between vegetation and erosion

I am wanting to find the correlation between two variables: a categorical vegetation variable (with categories 1-4) and a continuous variable of erosion (with values anywhere between 0.2 and 9). I ...
5
votes
3answers
2k views

Comparing logistic regression coefficients across models?

I've developed a logit model to be applied to six different sets of cross-sectional data. What I'm trying to uncover is whether there are changes in the substantive effect of a given independent ...
5
votes
2answers
5k 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
769 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
2answers
539 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? ...
5
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 ...
5
votes
2answers
39 views

Have population, use inferential statistics? Also, non-normal dependent variable, what to do?

Background: We are looking at parental leave in Iceland. We are particularly interested in whether the economic crisis and the resulting changes in parental leave legislation affected the time taken ...
5
votes
3answers
2k views

Calculating eta squared from F and df

I'm trying to compute ANOVA effect sizes from papers that provide an F value without other information. If I understand correctly, the effect size for a single-factor ANOVA is $$ \eta {2} = ...
5
votes
4answers
1k 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 ...