The obtained data were analyzed using SPSS 19.0 J (SPSS Japan, Tokyo, Japan) with advanced modules. Initially, the statistical analysis was done both by Kolmogorov–Smirnov normality test and homoscedasticity. A two-way analysis of variance test was used to evaluate the two main effects of RT and Su treatment and the interaction between them. When a significant F value was obtained, a Tukey’s post-hoc test was performed. The results were expressed as mean ± standard deviation. P < 0.05 was considered to be statistically significant.
Spss 19.0j
Manufactured by IBM
Sourced in United States, Japan
SPSS 19.0J is a comprehensive statistical software package developed by IBM. It provides advanced analytical capabilities for data management, statistical analysis, and reporting. The software offers a wide range of statistical techniques, including regression analysis, clustering, and predictive modeling. SPSS 19.0J is designed to assist researchers, analysts, and organizations in making data-driven decisions.
Automatically generated - may contain errors
Lab products found in correlation
8 protocols using spss 19.0j
1
RT and Su Treatment Effects
2
Statistical Analysis of Experimental Data
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Statistical analyses were performed using the SPSS 19.0J software program (SPSS Inc., Chicago, IL, USA); for all statistical tests, p-values <0.05 were considered significant. Student’s t-tests were performed for all continuous variables, including primary and secondary outcomes, whereas the chi-square or Fisher’s exact tests were used for categorical variables.
3
Evaluating Parental Care Methods
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Statistical analysis was performed using the SPSS 19.0J software program (SPSS Inc., Chicago, IL, USA); for all statistical tests, a significance level of 0.05 was used. An exploratory factor analysis (EFA) with promax rotation was used for items concerning the respondents’ evaluations of methods of caring for parents; Cronbach’s alpha was also calculated for each component. Correlational analyses were performed using Pearson correlation. In cases where a correlation was detected, one-way analysis of variance (ANOVA) with Tukey’s multiple comparison tests was performed between each correlated profession and each hospital type.
4
Evaluating Microalbuminuria Diagnostic Tools
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The results were expressed as the mean and standard deviation or the median and 95% confidence interval (CI). A receiver operating characteristic (ROC) analysis was performed to compare the utility of the QUACR to that of the QUA for diagnosing microalbuminuria. The SPSS 19.0J software program (Windows version, SPSS, Chicago, USA) was used for all of the statistical analyses. p values of <0.05 were considered to indicate statistical significance.
5
Multidimensional Scaling of Perceptual Similarities
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To understand the spatial configuration of perceptual similarities among stimuli, we conducted multidimensional scaling analyses for each species using INDSCAL. This method yielded spatial representations for the stimuli as well as weights for each dimension of this representation for each observer. We adopted a two-dimensional solution for the present analyses using SPSS 19.0J. Obtained representations ranged from −2.0 to 2.0 for each dimension. To evaluate goodness of fit, we presented stress values and coefficients of determination (RSQ).
6
Evaluating Participant Performance Similarities
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To evaluate similarities in the performances of participants, we calculated the ICC using random-effects models (i.e., ICC(2, n); n designates the number of participants). These values were calculated using SPSS 19.0 J and statistically tested with a null hypothesis of ICC = 0. Furthermore, using dissimilarity data averaged across participants, we also calculated the ICC (using a mixed effects model) for evaluating inter-species variability.
7
Comparing Balance and QoL in Cancer Survivors
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The results are presented as means ± standard deviations. We compared demographic data between cancer survivors and healthy subjects using Student t test for continuous variables and Pearson chi-squared test for ordinal variables. Two-tailed unpaired t tests were used to compare balance function and QOL between the 2 groups. Pearson r was used to evaluate the association between balance function and QOL. Statistical analysis was performed using SPSS 19.0J (SPSS Japan Inc., Tokyo, Japan). P-values < .05 were considered statistically significant.
8
Acute Carbon Tetrachloride Toxicity
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All data from the control and treatment groups were obtained from the same numbers of replicated experiments. All experiments were performed independently at least two times. The results of the acute CCl 4 toxicity were analyzed by means of Kruskal-Wallis test. ALT value comparisons were made by using post-hoc Tukey-Kramer's test. All statistical analyses were performed using SPSS 19.0J software (Chicago, IL, USA). Values of P < 0.05 were considered statistically significant.
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