Pspp principal component analysis software#
Pspp principal component analysis Pc#
Pspp principal component analysis series#
Pspp principal component analysis free#

85) (c) attractiveness of fi gure subscales (males =. 86) (b) physical condition subscales (males =. Cronbach Alpha, representing the internal consistency measure consisted of: (a) sport subscale (males =.

Pspp principal component analysis Pc#

RESULTS: Data were analyzed using SPSS PC 11.0. PSPP has four subscales: (a) sports competence – SPORT (b) attractiveness of the fi gure – BODY (c) physical strength and musculature – STRENGTH and (d) physical conditioning and exercise – CONDITION (Fox, 1990). Participants received a test battery containing a Czech version of PSPP (Fox, 1990). The average age of the participants was 17.00 (± 1.34) in boys and 16.63 (± 1.39) in girls. Of these participants, 666 were boys and 403 were girls. METHODS: Participants were high school students from fi ve schools representing three kinds of high schools in the Czech Republic. The Physical Self Perception Profi le (PSPP) has never been used in the CZ population before. OBJECTIVE: The purpose of this study was to analyse the structure of the translated PSPP-CZ questionnaire among the population of high school students by fi nding components of PSPP-CZ using principal component analysis. In order to examine the relationships between various levels of physical activities and self perception we need to use standardized instruments to measure physical self perception among Czech teenagers. Understanding self development processes has increased in importance as self esteem and self perception components have become increasingly valued in educational, clinical and community health programs (Ferreira & Fox, 2008). Self esteem has been generally accepted as an important mediator of exercise and self esteem (Fox, 2000 Sonstroem, 1997). SOFA supports the display results in an attractive format ready to share.BACKGROUND: The physical self has been widely investigated as a determinant of exercise behaviors as well as a contributor to mental health and well being (Fox, 1997). SOFA is a user-friendly statistics, analysis, & reporting program, with an emphasis on ease of use, learn as you go, and beautiful output. Regress+ includes regression, stochastic modeling, bootstrapping and robust goodness of fit measures. The learning curve is fairly steep, but the availability of hundreds of add-on packages mean that almost anything can be accomplished.

Pspp principal component analysis software#

R is probably the most sophisticated statistics software available. PSPP can perform several data transformation (including recoding, weighting and handling of missing values), compute descriptive statistics (frequencies, descriptive statistics), compute crosstabs and explore tables, T-tests (one sample T-test, independent samples T-test, paired samples T-test) and one-way ANOVA, bivariate correlationlinear regression, factor analysis (Principal Component Analysis and Principal Axis Factoring), Chronbach Alpha (reliability measure), ROC curve and some non-parametric tests (Chi-square and Binominal). PSPP is particularly aimed at statisticians, social scientists and students requiring fast convenient analysis of sampled data. It is similar to SPSS with a few exceptions.

Pspp principal component analysis free#

PSPP is a free program for statistical analysis of sampled data. Core MacAnova has a functional/command oriented interface, but an increasing number of capabilities are available through a menu/dialog/mouse type interface.

Pspp principal component analysis series#

MacAnova has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni- and multi-variate exploratory statistics. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses. G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests,z tests and some exact tests.