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Spss statistics for windows version 25 2017

Manufactured by IBM
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SPSS Statistics for Windows (version 25, 2017) is a software package used for statistical analysis. It provides a graphical user interface for working with data and performing a variety of statistical procedures.

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Lab products found in correlation

3 protocols using spss statistics for windows version 25 2017

1

Comparative Analysis of Play Hub Observations

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We estimated descriptive statistics (means and standard deviations and frequencies) for participation, child characteristics, and SOCARP and TOPO variables for play hub locations and year. The percentage of each SOCARP and TOPO variable was estimated by dividing the number of times each category was observed for a child (numerator) by the total number of complete observations for that child. We averaged these estimates across all play hub participants. Thus, the unit of analysis represents the percentage of observations for a given activity undertaken during the play hub. Independent t-tests were used to compare the mean proportions for SOCARP and TOPO variables between 2021 and 2022. Statistical analysis was undertaken using IBM SPSS Statistics for Windows (version 25; 2017). We used p-values of less than 0.05 as a criterion for reaching statistical significance.
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2

Statistical Analysis of Collected Data

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IBM's Statistical Package for the Social Sciences (SPSS) statistics for Windows (version 25, 2017) (IBM corporation, Armonk, NY, USA) was used for the statistical analysis of the collected data. Shapiro–Wilk test was used to check the normality of the data distribution. Quantitative variables were expressed as mean and standard deviation, whereas categorical variables were expressed as frequency and percentage. Independent sample T and Mann − Whitney tests were used for the comparison of parametric and nonparametric continuous data, respectively. For pair-wise comparison of data (within-subjects), the follow-up values were compared to their corresponding basal value using the paired samples t-test or Wilcoxon matched-pairs signed-ranks test. Fisher exact and Chi-square tests were used for inter-group comparison of nominal data using the crosstabs function.
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3

Statistical Analysis of Quantitative and Categorical Data

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IBM's Statistical Package for the Social Sciences (SPSS) statistics for Windows (version 25, 2017) (IBM corporation, Armonk, NY, USA) was used for statistical analysis of the collected data. Shapiro–Wilk test was used to check the normality of the data distribution. All tests were conducted with 95% confidence interval. P (probability) value <0.05 was considered statistically significant. Charts were generated using SPSS chart builder and Microsoft Excel for Windows 2019. Quantitative variables were expressed as mean and standard deviation while categorical variables were expressed as frequency and percentage. Independent sample t-test and Mann–Whitney test were used for intergroup (between subjects) comparison of parametric and nonparametric continuous data with no follow-up readings respectively. For pair-wise comparison of data (within subjects), the follow-up values were compared to their corresponding basal value using paired samples t-test or Wilcoxon matched-pairs signed-ranks test. Fisher's exact and Chi-square tests were used for intergroup comparison of nominal data using the crosstab function.
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