Spss 18 for windows

The collected data were entered in Microsoft Office Excel. For the purpose of analysis, the answers to the questions were dichotomised into correct and wrong answers. The data were analyzed using statistical tools such as descriptive statistics and t-test. SPSS for Windows, version 18 was employed for statistical analysis. The level of significance was set at 5%.

Shamarao S., Jain J., Ajagannanavar S.L., Haridas R., Tikare S, & Kalappa A.A. (2014). Knowledge and attitude regarding management of tooth avulsion injuries among school teachers in rural India. Journal of International Society of Preventive & Community Dentistry, 4(Suppl 1), S44-S48.

The SPSS for Windows version 18 (SPSS Inc., Chicago, IL, USA) was used for statistical analyses. Data were expressed as mean ± standard deviation for continuous variables and percentage for categorical data. Chi-square test was used to compare the differences of categorical values, and independent t test was used to compare the differences of continuous variables between the groups. Receiver operating characteristic (ROC) curve analysis was conducted to identify the optimal cut-off value, sensitivity and specificity of biomarkers for differentiating APE from NSTEMI. A p value less than 0.05 were considered as statistically significant.

Kim J.Y., Kim K.H., Cho J.Y., Sim D.S., Yoon H.J., Yoon N.S., Hong Y.J., Park H.W., Kim J.H., Ahn Y., Jeong M.H., Cho J.G, & Park J.C. (2019). D-dimer/troponin ratio in the differential diagnosis of acute pulmonary embolism from non-ST elevation myocardial infarction. The Korean Journal of Internal Medicine, 34(6), 1263-1271.

Physical activity data were analyzed using a linear regression analysis with the following independent variables: baseline PA behavior, gender, age, body mass index (BMI), educational level, and the intervention condition variable coded into two dummies (AVATAR and TEXT). Potential variations in process evaluation variables were analyzed through analysis of covariance (ANCOVA) with gender, age, BMI, educational level, and baseline PA behavior as covariates. Analyses were performed using SPSS for Windows (version 18).

Friederichs S., Bolman C., Oenema A., Guyaux J, & Lechner L. (2014). Motivational Interviewing in a Web-Based Physical Activity Intervention With an Avatar: Randomized Controlled Trial. Journal of Medical Internet Research, 16(2), e48.

Statistical analysis was performed using SPSS for Windows version 18 (SPSS; Chicago, IL), GraphPad Prism (GraphPad Software Inc, California), and programs written in Matlab 2015a (Mathworks, Natick, MA). Bland-Altman analysis evaluated the consistency of VASS measurements between right and left breasts. The intraclass correlation coefficient (ICC) measured the reproducibility of VASS estimates comparing values from right and left breasts, with an ICC greater than 0.75 representing good agreement.^{29 (link)} The mean VASS and MR percent water content were calculated for the whole-study group and right and left breast measurements compared using paired t tests. The relationship between VASS and MR percent water content was evaluated using Pearson correlation coefficient. A P value less than 0.05 was taken to indicate a significant difference. All reported P values were 2-sided.

O’Flynn E.A., Fromageau J., Ledger A.E., Messa A., D’Aquino A., Schoemaker M.J., Schmidt M., Duric N., Swerdlow A.J, & Bamber J.C. (2017). Ultrasound Tomography Evaluation of Breast Density: A Comparison With Noncontrast Magnetic Resonance Imaging. Investigative Radiology, 52(6), 343-348.

Karimi N., Mohseni Kouchesfahani H., Nasr-Esfahani M.H., Tavalaee M., Shahverdi A, & Choobineh H. (2019). DGC/Zeta as A New Strategy to Improve Clinical Outcome in Male Factor Infertility Patients following Intracytoplasmic Sperm Injection: A Randomized, Single-Blind, Clinical Trial. Cell Journal (Yakhteh), 22(1), 55-59.

The findings were analyzed with statistical software SPSS for Windows, Version 18. Statistical significance was established at P<0.05.

Qi J., Hu Z., Xiao H., Liu R., Guo W., Yang Z., Ma K., Su S., Tang P., Zhou X., Zhou J, & Wang K. (2020). SOX10 – A Novel Marker for the Differential Diagnosis of Breast Metaplastic Squamous Cell Carcinoma. Cancer Management and Research, 12, 4039-4044.

Data analysis was carried out in SPSS for Windows, Version 18. Data were analyzed using descriptive and analytical statistics, including frequency, mean, standard deviations, independent t-test, one-way analysis of variance (ANOVA), and Pearson’s correlation coefficient.

Hajibabaee F., A. Farahani M., Ameri Z., Salehi T, & Hosseini F. (2018). The relationship between empathy and emotional intelligence among Iranian nursing students. International Journal of Medical Education, 9, 239-243.

Non-normally distributed data were compared between groups using Kruskall-Wallis test. The Chi square test was used for categorical data. Spearman rho correlation was used to investigate the correlation between uric acid level and variables. Mann-Whitney U test was used to compare the mean serum uric acid level in patients with and without electrocardiographic signs of RV strain. We used Receiver operator characteristic curve (ROC) to estimate the threshold values of serum uric acid to predict severe PH. The area under the ROC curve (AUC) and the corresponding standard error were calculated. The data were analyzed using SPSS for Windows version 18 (Chicago, IL, USA). All reported p-values are two-tailed, and p-values of less than 0.05 were considered statistically significant.

Seyyedi S.R., Malekmohammad M., Chitsazan M., Behzadnia N., Sadr M., Hashemian S.M, & Sharif-Kashani B. (2017). Relationship between Serum Uric Acid Levels and the Severity of Pulmonary Hypertension. Tanaffos, 16(4), 283-288.

All multiple comparison tests were two-tailed. Direct comparisons between the two treatment groups were performed with the unpaired Student t-test or the nonparametric Mann-Whitney test when the data sets were not normally distributed. P value of 0.05 or less was considered significant. All statistical analyses were performed with SPSS for Windows version 18 (SPSS Inc., Chicago, Ill, USA).

Nikooseresht M., Hashemi M., Mohajerani S.A., Shahandeh F, & Agah M. (2014). Ultrasound as a Screening Tool for Performing Caudal Epidural Injections. Iranian Journal of Radiology, 11(2), e13262.

Nutritional data were analyzed using Nutritionist IV software (San Bruno, CA, USA, First Data Bank). Statistical analysis was undertaken using SPSS for Windows (version 18; SPSS Inc., Chicago, IL, USA). Student’s independent t-test was employed to compare nutrient intake with DRI values (2012). Association between variables was determined using Pearson Correlation Coefficient. Partial correlation was employed for controlling of daily energy intake. P < 0.05 were considered statistically significant.

Bitarafan S., Harirchian M.H., Nafissi S., Sahraian M.A., Togha M., Siassi F., Saedisomeolia A., Alipour E., Mohammadpour N., Chamary M., Honarvar N.M, & Saboor-Yaraghi A.A. (2014). Dietary intake of nutrients and its correlation with fatigue in multiple sclerosis patients. Iranian Journal of Neurology, 13(1), 28-32.