PQStat - Baza Wiedzy en:statpqpl:porown3grpl:parpl http://manuals.pqstat.pl/ 2026-04-29T07:38:04+00:00 PQStat - Baza Wiedzy http://manuals.pqstat.pl/ http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-13T11:21:47+00:00 Anonymous (anonymous@undisclosed.example.com) The ANOVA for independent groups with F* and F" corrections http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:anova_one_waycorrpl The ANOVA for independent groups with F* and F" corrections (Brown-Forsythe, 1974) and (Welch, 1951) Corrections concern ANOVA for independent groups and are calculated when the assumption of equality of variances is not met. The test statistic is in the form of: where: text/html 2022-02-12T16:42:05+00:00 Anonymous (anonymous@undisclosed.example.com) The ANOVA for independent groups http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:anova_one_waypl The ANOVA for independent groups The one-way analysis of variance (ANOVA for independent groups) proposed by Ronald Fisher, is used to verify the hypothesis determining the equality of means of an analysed variable in several () populations. Basic assumptions: text/html 2022-11-20T18:07:27+00:00 Anonymous (anonymous@undisclosed.example.com) The ANOVA for dependent groups with Epsilon correction and MANOVA http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:anova_repeatedcorrpl The ANOVA for dependent groups with Epsilon correction and MANOVA Epsilon and MANOVA corrections apply to repeated measurements ANOVA and are calculated when the assumption of sphericity is not met or the variances of the differences between all pairs of measurements are not close to each other. text/html 2022-02-13T11:56:47+00:00 Anonymous (anonymous@undisclosed.example.com) The ANOVA for dependent groups http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:anova_repeatedpl The ANOVA for dependent groups The single-factor repeated-measures analysis of variance (ANOVA for dependent groups) is used when the measurements of an analysed variable are made several times () each time in different conditions (but we need to assume that the variances of the differences between all the pairs of measurements are pretty close to each other). text/html 2022-02-12T17:01:51+00:00 Anonymous (anonymous@undisclosed.example.com) The contrasts and the POST-HOC tests http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:anovaposthpl The contrasts and the POST-HOC tests An analysis of the variance enables you to get information only if there are any significant differences among populations. It does not inform you which populations are different from each other. To gain some more detailed knowledge about the differences in particular parts of our complex structure, you should use text/html 2022-02-13T11:27:11+00:00 Anonymous (anonymous@undisclosed.example.com) The Brown-Forsythe test and the Levene test http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:levenepl The Brown-Forsythe test and the Levene test Both tests: the Levene test (Levene, 1960 ) and the Brown-Forsythe test (Brown and Forsythe, 1974 ) are used to verify the hypothesis determining the equality of variance of an analysed variable in several ( text/html 2022-02-13T11:57:12+00:00 Anonymous (anonymous@undisclosed.example.com) Mauchly's sphericity http://manuals.pqstat.pl/en:statpqpl:porown3grpl:parpl:sferycznoscpl Mauchly's sphericity Sphericity assumption is similar but stronger than the assumption of equality of variance. It is met if the variances for the differences between pairs of repeated measurements are the same. Usually, the simpler but more stringent compound symmetry condition is considered in place of the sphericity assumption. This can be done because meeting the compounded symmetry condition entails meeting the sphericity assumption.