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In this case, the small difference led to no inferential differences across the software packages or weighting methods.
HLM 7 software was used for inferential analyses and SPSS 21.0 was used for descriptive and bivariate analyses.
Data was analyzed using the SPSS version 16 software using both descriptive and inferential statistics.
Data collection was through a pre-tested interview schedule, two types of questionnaires and a personal observation schedule while analysis was through descriptive and inferential statistics (Chi-square) by use of SPSS software.
A use was made of SPSS software to analyze data at descriptive and inferential levels by K_S, t test, and ANOVA.
Likewise, results demonstrated minimal differences across software programs, increasing confidence in results and inferential conclusions independent of software choice.
The Statistical Package for the Social Science (SPSS) version 16 software was used for both descriptive and inferential analysis.
URSSA survey data for the present study were entered into the statistical software package SPSS, in which descriptive and inferential statistics were computed.
Inferential statistical analysis was performed using the Prism and StatMate software packages (www.graphpad.com).
IBM SPSS software was used to conduct all descriptive and inferential analyses.
All descriptive and inferential statistical tests were carried out using IBM SPSS Statistics 21 computer software [ 13].
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