The largest database of trusted experimental protocols

1 300 protocols using statistical package for social science

1

Statistical Analysis of Quantitative Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using Statistical Package for Social Sciences (version 23 for Windows; IBM SPSS, Armonk, NY, USA). Descriptive statistics included percentage, mean, and standard deviation. Inferential analysis was performed using the chi-square test or Fisher’s exact test. Levene’s test was used to test for equality of variances for quantitative variables and showed that the data had a normal distribution. Student’s t test and analysis of variance (ANOVA) were used to analyze continuous variables. A two-sided p < 0.05 was considered to be significant.
+ Open protocol
+ Expand
2

Defect Fill Comparison across Groups

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data were analyzed using Statistical Package for Social Sciences (Version 21.0, IBM SPSS, Armonk, New York, USA). Power was set at 85%. To detect mean differences of the defect fill between groups, a sample size of 14 would be sufficient. For intragroup variations, Wilcoxon-matched paired test was performed and for comparison between the two groups Mann–Whitney U-test was done. The threshold value for statistical significance was set at α = 0.05.
+ Open protocol
+ Expand
3

Quantitative Analysis of Social Science Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
After the invalid measurement questionnaires were excluded, this study used the Statistical Package for Social Sciences (version 21.0 IBM SPSS Inc., Chicago, IL, USA) to perform statistical analyses. The average mean, standard deviation, and percentages were used in the descriptive statistics. The statistical methods included a Pearson correlation analysis and multiple linear regression to test the contribution and significance of the variables. This study also measured the Cronbach's alpha, composite reliability (CR), and average variance extracted (AVE) of each variable to understand the reliability and the validity of the scale. We used G-Power to calculate the sample size. The Kolmogorov-Smirnov test was used to test for normality of the distribution. We then used PROCESS Macro for SPSS, developed by Hayes (39 ), to verify the mediation effects. During the testing of the PROCESS Models, we used 10,000 bootstrap samples with 95 percent confidence intervals for the bootstrap analyses.
+ Open protocol
+ Expand
4

Statistical Analysis of Quantitative Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data collected was entered in Microsoft Excel and subjected to statistical analysis using Statistical Package for Social Sciences (IBM SPSS Inc., version 20.0, Chicago, IL, USA). The level of significance was fixed at 5% and P≤0.05 was considered statistically significant. Kolmogorov- Smirnov test and Shapiro-Wilks test were employed to test the normality of data. The categorical data were represented in frequency (n)/percentages (%). Mann Whitney U test, Kruskal Wallis and post hoc analysis was performed for quantitative variables.
+ Open protocol
+ Expand
5

Effective EHR Application Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using Statistical Package for Social Sciences (IBM SPSS Corp., Armonk, NY, USA) version 25. descriptive analysis including frequency, percentage (%), mean, and standard deviation used to describe participant’s characteristic and their responses to the sub-domains of tool. Besides, correlations were used to define the relationship between the most commonly practiced item, leadership style, and appropriate teaching method that used for effective application of electronic health records.
+ Open protocol
+ Expand
6

Evaluating Teachers' Educational Practices

Check if the same lab product or an alternative is used in the 5 most similar protocols
The statistical analysis used was the Statistical Package for Social Sciences (Version 26, IBM SPSS, Chicago, IL, USA). The Kolmogorov–Smirnov test was used to confirm that the data showed a normal distribution. Since the assumption of normality was not met, nonparametric tests were used. To calculate the reliability of each of the dimensions of this study, Cronbach’s alpha was used. To analyze the differences between the three dichotomous questions according to the educational stage where the teachers worked, the Person’s chi-square test was used. For the differences between each of the dimensions of the CEFI-R according to the educational stage of the teachers, the Mann–Whitney U test was used; and Spearman’s Rho test was used to analyze the association of each of the dimensions with the different age groups.
+ Open protocol
+ Expand
7

Evaluating Cognitive Abilities Across Educational Stages

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were examined using the Statistical Package for Social Sciences (Version 26, IBM SPSS, Chicago, IL, USA). The Kolmogorov–Smirnov test was used to determine whether the data supported the assumption of normality. Nonparametric tests were chosen. In order to evaluate the internal consistency of the three dichotomous questions, the Kuder–Richardson coefficient (KR20) was calculated. Differences between the three dichotomous questions according to the educational stage were analyzed using Pearson’s chi-square test. The Kruskal–Wallis test was employed to establish the differences between the CEFI-R dimension according to the educational stage (preschool, primary, or secondary). The association between each CEFI-R dimension and age group was examined using Spearman’s rho test.
+ Open protocol
+ Expand
8

Validating CEFI-R Scale Reliability

Check if the same lab product or an alternative is used in the 5 most similar protocols
The Statistical Package for Social Sciences (Version 23, IBM SPSS, Chicago, IL, USA) was used. The Kolmogorov-Smirnov test was carried out to determine if the data followed a normal distribution. As this assumption was not met, for both the dichotomous questions (Kolmogorov-Smirnov = 0.484; p = 0.000; and Bartlett’s = 36.607; p = 0.000) and the CEFI-R items (Kolmogorov-Smirnov = 0.300; p = 0.000; and Bartlett’s = 3352.626; p = 0.000), non-parametric tests were chosen. Pearson’s Chi-Square test was performed to analyze the differences between the three dichotomous questions according to teachers’ sex and educational stage. The Mann–Whitney U test was used to analyze the differences between the responses to the dichotomous questions and the CEFI-R dimensions. This test was also used to analyze the differences between the dimensions according to the sex of the teachers and the educational stage. The Spearman Rho was performed to explore the association between the CEFI-R dimensions and age. Cronbach’s Alpha was used to calculate the reliability of each of the dimensions from the CEFI-R. Reliability values between 0.60 and 0.70 can be considered acceptable, while values between 0.70 and 0.90 are excellent [52 ].
+ Open protocol
+ Expand
9

Statistical Analysis of Scale Reliability

Check if the same lab product or an alternative is used in the 5 most similar protocols
This study used the Statistical Package for Social Sciences (version 21.0 IBM SPSS Inc., Chicago, IL, USA) to perform statistical analyses. Average mean, standard deviation, and percentage were used in the descriptive statistics. The statistical methods included the correlation analysis and the regression analysis to test the contribution and significance of the variables. This study also measured the Cronbach’s alpha, composite reliability (CR), and average variance extracted (AVE) of each variable to understand the reliability and validity of the scale. PROCESS Macro for SPSS was then used to verify the mediation effects. During all the testing of the PROCESS Models, this study used 10,000 bootstrap samples with 95 percent confidence intervals for the boot-strap analyses.
+ Open protocol
+ Expand
10

Statistical Analysis of Participant Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The study used descriptive statistics (frequen­cies, percentages, arithmetic means, and ranges) to describe participants’ characteristics; one-way vari­ance analysis and t-test to determine the difference among variables, and Pearson correlation analysis to analyze the correlation among variables. The data obtained was shown to have 95% reliability and 5% significance. The data were analyzed using the pro­gram Statistical Package for Social Sciences (IBM SPSS Corp., Armonk, NY, USA) for Windows 22.0.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!