Statistics and Data Analysis
Statistics and Data Analysis Department
The Statistics and Data Analysis Department under the Scientific Publications Coordinatorship of our university provides various services such as statistical data analysis, consultancy, and surveys with official applications.
Depending on the content of the application and the type of service requested, the data are analysed in the best way by experienced and expert analysts. Data has become an indispensable element of the modern business world. When analysed and interpreted correctly, data supports the decisions of businesses/studies and enables them to take more effective and strategic steps. At this point, statistics and data analysis services come into play. Statistical analysis consultancy for academic studies and scientific researches, formulation of research questions and hypotheses, determination of sample size with power analysis, formation of ethics committee reports, data collection, data entry, data analysis services and consultancy services are provided in the stages of planning, analysis, and interpretation of TÜBITAK/BAP/EU projects. The procedures performed are survey, data entry, AMOS, validity reliability analysis, first and second level confirmatory factor analysis, sample estimation, measurement models, sample selection, path analysis with indicator variables, statistical analyses, structural equation modelling, graphics, model fit values, tabulation, model modification, interpretation, mediation tests, reporting, multiple group analyses and G – Power (Power Analysis).
The counselling service process is as follows:
1. The researcher first fills in the application form. Then sends the documents required for the application to [email protected] . If our expert deems necessary, an interview is held on a date convenient for both parties. In order to anticipate and eliminate the problems that may be encountered in the later stages of the study, it is recommended that the researcher apply to our unit at the beginning of the study.
2. The researcher should come to the first meeting with the expert, if there is, with the most up-to-date version of the data entry form, and a sample study. In this meeting, he/she gives information about his/her research and receives information about what to pay attention to at the beginning of the research.
3. The consultancy and appointment process continues until the end of the research or until the statistical consultancy service is completed.
4. The information of the researchers who receive consultancy services will be kept in our department in order not to be shared with third parties for easy access when needed.
Statistical analyses in the Statistics and Data Analysis Department consist of three parts: Parametric Methods, Nonparametric Methods, and Multivariate Methods. These methods are as follows:
Parametric Methods
Descriptive Statistics
Frequencies Tables
Normality Tests
Tests for Homogeneity of Variance
Z-Test
Proportion Test
t-Test
Student t-Test
Welch Test
Paired t-Test
One-way ANOVA
Two-Way ANOVA, Three-way ANOVA, etc.
Multiple Comparison Tests/Post Hoc Tests
Repeated Measures ANOVA
ANCOVA
Correlation Analysis
Regression Analysis
Path Analysis
Reliability Analysis; Intralass Correlation
Bland-Altman Test
Power Analysis
Sample Size Calculator
Non-Parametric Methods
Sign Test
Mann-Whitney U test
Wilcoxon Signed Rank Test
Kruskal-Wallis Test
Non-Parametric Multiple Comparison Tests
Mood's Meian Test
Friedman Test
Cochran's Q Test
McNemar Test
Reliability Analysis; Cronbach's Alpha/Cohen's Kappa
Spearman, Kendall Tau, Cramer's V Test
Chi-Square Analysis
Multivariate Methods
MANOVA
Canonical Correlation Analysis
Multiple Regression Analysis
Logistic Regression Analysis
Probit Analysis
Principal Components Analysis
Factor analysis
Discriminant Analysis
Cluster Analysis
Correspondence Analysis
Survival Analysis
Cox Regression Analysis
Multidimensional Scaling, MDS
ROC Curve
In business and academic studies, data analysis is an important step to make correct and logical decisions. Analysing and evaluating your data effectively helps you make strategic decisions for your business or project. At this point, qualitative and quantitative data analysis services come into play.
Qualitative data analysis is a method used to understand verbal and qualitative data. Such data are obtained from sources such as interviews, focus groups, observation, participant observation and content analysis. For the analysis of studies in the qualitative field, analyses are performed with the Maxqda programme, which is the most widely used in this field. Qualitative data analysis is used to understand these data, identify patterns and themes, gain insights and draw meaningful conclusions. This method is often used in behavioural and social sciences and provides in-depth insights.
Quantitative data analysis is a method for analysing numerical and quantitative data. Such data are obtained from sources such as surveys, measurements, numerical records, correlation, regression analysis and hypothesis tests. For the analyses of quantitative studies, SPSS program and Amos program, which is the most important point of data analysis, are used. After the structural equation model analyses performed with Amos, other analyses are started. Quantitative data analysis provides information about patterns, relationships, and trends by analysing these data with statistical methods.
As the Statistics and Data Analysis Department, our expert staff aims to increase the number, accuracy, speed, and quality of scientific activities of researchers conducting scientific studies within our university by analysing the data in the best way. It produces customised solutions by prioritising customer confidentiality and data security. We are open to your additional requests, opinions, and suggestions for these services.
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