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Spss 15.0 version

Manufactured by IBM
Sourced in United States

SPSS 15.0 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data documentation. The software is designed to help researchers, analysts, and organizations manage and analyze data effectively.

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9 protocols using spss 15.0 version

1

Statistical Analysis of Experimental Data

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All data were represented as mean ± standard error of the mean (mean ± SEM). The significance of the differences in the acquired data over at least three replicates was analyzed by using one-way analysis of variance (ANOVA, SPSS 15.0 version, USA). The level of statistical significance was checked at P < .05.
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2

Statistical Analysis of Research Data

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Data were statistically analyzed by using SPSS-15.0 version (SPSS Inc, Chicago, IL, USA) for Windows with descriptive statistics, chi-square and Fisher’s exact
tests. Confidence interval was set to 95% and p-values less than 0.05 were considered statistically significant.
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3

Assessing Digital Function After Tendon Repair

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All the patients were assessed by the primary surgeon, at 12 weeks after surgery. Range of motion of the MCP and interphalangeal (IP) joints of the operated fingers were measured, using a goniometer. Also, loss of flexion and extension lag was recorded in degrees. The range of motion of the uninjured hand was also measured, for comparison. Total range of motion for each finger was calculated according to the formula used by Strickland and Glogovac, for the grading of digital function (6 (link)):
Abbreviations: DIP, distal interphalangeal; MCP, metacarpophalangeal; PIP, proximal interphalangeal. Strickland-Glogovac formula for classification of results is detailed in Table 1. Also, Miller’s criteria for assessing the result of extensor tendon repair were used (Table 2) (7 (link)).
The data were entered using SPSS 15.0 version (SPSS Inc. Chicago, IL, USA). Statistical comparison of the clinical result from two groups was carried out using t-test and chi-square test. P Value < 0.05 was considered to be statistically significant.
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4

Statistical Analysis of Experimental Data

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The data were expressed as mean ± standard deviation in normally distributed data. Statistical analysis was performed by independent t test for determining intergroup comparison and paired t test for intragroup difference. Data were expressed as median (interquartile range). Statistical analysis was performed using the Mann–Whitney U test for determining intergroup comparison. Chi-square test was used for categorical data. P ˂ 0.05 was considered statistically significant. SPSS 15.0 version was used for all the analysis.
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5

Statistical Analysis of Categorical Variables

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All the data was entered in Microsoft excel and analyzed using SPSS 15.0 Version (SPSS Inc. Chicago IL, United States of America). All categorical variables were expressed as number and proportion. Categorical variables was compared between the two groups using Chi-square test. P < 0.05 was considered significant.
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6

Statistical Analysis of Experimental Replicates

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Each treatment was replicated 3 times for statistical validity. SPSS computer software was used for statistical analyses (SPSS Japan Inc., Shibuya, Tokyo, Japan) and SigmaPlot 8.0 software was used for mapping. Any differences between treatments were determined using one-way analysis of variance (ANOVA), and scored as significant if (P < 0.05). The means and standard errors of the means mean ± SE are reported. For Western blotting statistical analysis, independent-samples t-test was used to determine the significance at P < 0.05 using SPSS 15.0 version for Windows software.
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7

Statistical Analysis of Experimental Data

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All data were analyzed using SPSS 15.0 version (SPSS Inc., Chicago, Illinois).
Numerical variables were expressed as mean ± SD, whereas categorical
variables were expressed as percentage values. Comparisons between groups were
made by using the analysis of variance, Kruskal-Wallis or Chi-square tests, as
appropriate. Continuous variables were compared between the groups with
Student's t-test or Mann-Whitney U test. A 2-sided p value < 0.05 was
considered significant in all analyses.
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8

Demographic Factors Influencing Quality of Life

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The data were entered into Microsoft Excel and statistical analysis was performed using the SPSS 15.0 version (SPSS, Inc., Chicago, IL, USA). Categorical variables like demographic and clinical factors were expressed as numbers and proportions; whereas, QOL scores was expressed as mean and standard deviation. The mean QOL scores were compared among the demographic and clinical variables using a Student's t-test and analysis of variance (ANOVA). All tests were two tailed and P < 0.05 was considered to be statistically significant.
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9

Dentists' Toothbrush and Hygiene Practices

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This study was conducted among dentists who were employed at the Gazi University Faculty of Dentistry in Ankara, Turkey. This study was approved by the Ethics Board of the Institutional Ethics Committee of Ankara University Faculty of Dentistry (No: 18/4, 12.03.2014, Ankara, Turkey). All participants provided written informed consent before enrollment in the study. A standard questionnaire was prepared and distributed to dentists (Table 1), which contained 17 items in three parts: demographics (6 items), personal toothbrush/toothpaste use and patient recommendations (7 items), and toothbrush disinfection (4 items). Each dentist filled out the questionnaire by him/herself. Of the 150 questionnaires that were distributed to dentists, three forms were filled out incompletely and were excluded from the study, resulting in 147 evaluated forms. Data were statistically analyzed by using SPSS-15.0 version (SPSS Inc., Chicago, USA) for Windows with descriptive statistics, t-tests, Fisher exact tests, and chi-squared tests, as appropriate. Differences with a p-value of less than 0.05 were considered statistically significant.
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