http://pspp.kiberpipa.org/wiki/ 2012-05-17T04:33:57+02:00 http://pspp.kiberpipa.org/wiki/ http://pspp.kiberpipa.org/wiki/lib/images/favicon.ico text/html 2010-07-06T09:40:27+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=overview&rev=1278402027&do=diff PSPP consist of three windows: * dataset window, where user can view and edit dataset and run data analysis from the menu; * syntax window, where user can edit and run SPSS syntax; * output window, where output computation (tables, in future versions also graphics) is presented. text/html 2010-07-06T09:30:27+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=start&rev=1278401427&do=diff PSPP is an application for statistical analysis of data. PSPP is a completely free replacement for the commercial application SPSS (now PASW) and is very similar to it. It's syntax files and data are also compatible with SPSS. PSPP can perform several data transformation (including count, recode, weighting and handling of missing values), compute descriptive statistics (frequencies, descriptive statistics), compute crosstabs , T-tests (independent samples T-test, paired samples T-test and one-s… text/html 2010-07-06T08:50:07+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=factor_analysis&rev=1278399007&do=diff Factor analysis is a procedure which tries to reduce the number of variables and detect structure in the relationships among observed variables. Factor analysis used to describe variability among observed variables in terms of fewer unobserved variables called factors. The observed variables are modeled as linear combinations of the factors, plus “error” terms. text/html 2010-07-05T14:46:15+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=binominal&rev=1278333975&do=diff The binomial test compares the observed distribution of a dichotomous variable with that of a binomial distribution. The variable p specifies the test proportion of the binomial distribution. The default value of 0.5 is assumed if p is omitted. If a single value appears after the variable list, then that value is used as the threshold to partition the observed values. Values less than or equal to the threshold value form the first category. Values greater than the threshold form the second cate… text/html 2010-07-05T14:46:01+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=chi-square&rev=1278333961&do=diff The Chi-Square test produces a chi-square statistic for the differences between the expected and observed frequencies of the categories of a variable. Optionally, a range of values may appear after the variable list. If a range is given, then non integer values are truncated, and values outside the specified range are excluded from the analysis. text/html 2010-07-05T14:42:26+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=nonparametric&rev=1278333746&do=diff PSPP also performs some nonparametric tests. Non parametric tests make very few assumptions about the distribution of the data. Currenlty there are two tests available: * Chi-square * Binominal text/html 2010-04-06T11:21:11+02:00 Matej Kovačič http://pspp.kiberpipa.org/wiki/doku.php?id=mac&rev=1270545671&do=diff Prerequisites * You need to have X11 installed on your Mac * Building with Macports, Fink or Darwinports installed _will_ fail- remove them from path and ldpath first You can build it the easy or the hard way. Easy way of building: * Download this archive and extract it * enter newly created “pspp” folder, then open the “runme” file in terminal (right click on ”runme” -> open with -> terminal”) * when asked, enter your password (needed to install make 3.81) * it should take aro…