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Statistical package for the social sciences spss for windows version 20

Manufactured by IBM

SPSS for Windows, version 20.0, is a software application for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The core function of SPSS is to assist users in organizing, analyzing, and interpreting data, particularly in the social sciences field.

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2 protocols using statistical package for the social sciences spss for windows version 20

1

Comprehensive Statistical Analysis of CCI

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All statistical analyses were conducted within the software platform of the IBM Statistical Package for the Social Sciences (SPSS) for Windows, version 20.0. Basic demographic, clinical and social data were presented and analysed using descriptive statistics in the form of frequency tables. Continuous data including CCI scores were presented in the form of means ± standard deviation. Associations between mean CCI and treatment options were determined using independent t-tests. Statistical significance (p-values) set at ≤0.05.
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2

Evaluating Curriculum Impacts on Student Motivation

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The statistical analysis was performed using the IBM Statistical Package for the Social Sciences (SPSS) for Windows, version 20.0 (Armonk, NY, 2011). Categorical variables were analyzed using Pearson’s chi-square test (χ2), and using Fisher’s exact test when appropriate. Ordinal variables were evaluated using Student’s t test. The assumed normality of the data was confirmed through the Shapiro-Wilk test.
With the aim of ascertaining changes over the time, the motivation scores were subjected to repeated-measurement multivariate analysis of variance (MANOVA) (Hotteling’s trace), considering the curricula (traditional and reformed) as “between factor” and time (Years 1 and 6) as “within factor”. Post-hoc analysis comparisons between curricula were conducted using an independent t test, and the paired Student’s t test in cases of comparison between years.
We estimated the effect size using Cohen’s d test and considered values ≤ 0.20 to be small; values > 0.20 to 0.80 to be medium, and values higher than 0.80 to be large.22
P-values P < 0.05 were considered significant.
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