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SPSS Statistics V19.rar: Compare and Contrast SPSS 19.0 with Other Statistical Software



SPSS is a popular statistics program because of its data management capabilities and user-friendly interface. The UI is both praised and critiqued for its simplicity. While the user interface looks like Excel, the user experience is different.


Test statistics for the relationship between group music-making and satisfaction of basic psychological need for relatedness, mediated by supporting staff behaviors, ***indicates statistical significance p




SPSS Statistics V19.rar



1Department of Surgery, Brooke Army Medical Center, Fort Sam Houston, Texas; 2CDC COVID-19 Response Team; 3Department of Microbiology, Icahn School of Medicine at Mt. Sinai, New York, New York; 4Department of Microbiology and Immunology, Uniformed Services University of Health Science, Bethesda, Maryland; 5Department of Pathology, Molecular, and Cell Based Medicine, Icahn School of Medicine at Mt. Sinai, New York, New York; 6Naval Infectious Diseases Diagnostic Laboratory, Naval Medical Research Center, Silver Spring, Maryland; 7Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland; 8Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland; 9Department of Pathology and Ancillary Laboratory Services, Carl R. Darnall Medical Center, Fort Hood, Texas; 10Department of Medicine, Uniformed Services University of Health Science, Bethesda, Maryland; 11Department of Surgery, Eisenhower Army Medical Center, Augusta, Georgia; 12Department of Emergency Medicine, Carl R. Darnall Medical Center, Fort Hood, Texas.


IBM SPSS statistics (V. 26.0, IBM Corp., USA, 2019) was used for data analysis. Data were expressed as median and percentiles for quantitative non-parametric measures and both number and percentage for categorized data.


The data were processed and analyzed using SPSS (Statistical Package for the Social Sciences, version 13.0). An extensive description of the population of juvenile sex offenders was done with descriptive statistics. Differences between subgroups were analyzed using Chi-square tests (or Fisher exact test if necessary) in the case of categorical variables. ANOVAs (Analysis of variance) or student's t-tests were used in the case of continuous variables. Finally, logistic regression analyses (forward conditional method) were performed for predicting non-recidivism versus recidivism and single versus multiple sex offending. Variables with a p-value


The suite can handle just about any statistical analysis you throw at it: from the simple descriptive statistics, such as mean, median, deviation, to the complex studies of variances and covariances, such as ANAOVA, ANCOVA. Correlations and regression models and many others can also be tested on your data sets.


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