Spss statistical software program
SPSS is a statistical software program developed by IBM. It is designed to analyze and manipulate data, providing users with a range of statistical tools and techniques for data management, analysis, and reporting.
Lab products found in correlation
92 protocols using spss statistical software program
Prevalence of Helicobacter pylori in Demyelinating Disorders
Factors Influencing Patient Perception of EHR Adoption
Patient experience = ƒ(certified EHR adoption, bed size, urban location, teaching status, ownership, affiliation).
All p values were 2-tailed and p < 0.05 was considered statistically significant. Data analyses were conducted using IBM SPSS statistical software program, version 24.0 (IBM SPSS, 2017).
Evaluation of Organic Fertilizers on Nutrients, Bioactive Compounds, and Antioxidant Activity
The analysis of variance and multivariate analysis of aroma profiles were performed with SPSS statistical software program (version 20, IBM Statistics, New York, NY, US).
Principle component analysis (PCA-XLSTAT software version 2015.5, Addinsoft, Paris, France) was performed both for the evaluation of volatile compounds datasets and to the data fusion approach (derive the first two principal components from the metabolic and antioxidant dataset and aroma profiles obtained by UFGC and GC-QTOF/MS analysis). Data management of all aroma compounds datasets was carried out using principal component analysis (PCA) on peak areas that were automatically calculated by the software that controls each instrument.
Statistical Analysis of Categorical and Continuous Data
Parental COVID-19 Vaccine Hesitancy Factors
Parental COVID-19 vaccine hesitancy was used as a dependent variable, while independent variables were: age, sex, marital status, working status, occupational classification, education level, number of hours worked per day, residence, yearly household income, number of children raised, history of children's COVID-19 infection, vaccination in the past 3 years, adverse effects of any vaccinations, a history of COVID-19 infection in family members, attendance at COVID-19 vaccination lectures, SSRS (i.e., objective, subjective, or utilization of support) and PACV domains (behavior, safety and efficacy, and general attitudes). There is no linear relationship between parental vaccine hesitancy and the independent variables. Multivariate logistic regression analyses were performed using stepwise variable selection with all variables entered into the model to evaluate the independent influence of COVID-19 vaccine hesitancy among Shandong and Zhejiang parents.
Statistical Analysis Using SPSS
Quantifying ROCK and Cofilin Signaling
Predictors of Psychological Distress in Integration
Evaluating Aesthetic Perception of Metal Archwires
To analyze the measurement reproducibility, the scales of 30 evaluators were re-measured after an interval of four weeks. A paired t test was applied with the purpose of evaluating the significance of the differences between the two measurements, thus demonstrating the systematic error. The Dahlberg formula (Se
Descriptive statistics were reported as means and standard deviations. The measurements were submitted to the Kolmogorov-Smirnov test to evaluate the data distribution. To evaluate laypersons’ aesthetic perceptions of metal archwires with and without aesthetic coating, the one-way analysis of variance (ANOVA) with the Tukey post-hoc test were applied. These tests were also used to compare the three age groups. To evaluate the archwires’ aesthetic perception between genders, the Mann-Whitney test was applied. The level of significance was established at 5%. All analyses were performed with the SPSS statistical software program (version 21.0, IBM Corporation, Armonk, New York, USA).
Statistical Analysis Methods in Scientific Studies
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