Courses catalog
Data science and statistical analysis

Bibliometric data processing with STATA

DESCRIPTION

In the field of bibliometrics, where scientific output and its impact are studied and analysed, it is essential to have tools that allow large amounts of data to be processed and understood. STATA is one such essential instrument, recognised for its ability to handle and alayse data efficiently. With the increasing need for detailed bibliometric analysis, it is imperative that professionals are trained in cutting-edge tools such as STATA to emphasise and contribute significantly in their area of expertise. The aim of this course on bibliometric data analysis with STATA is to provide participants with the skills and knowledge necessary to handle and analyse bibliometric data using STATA. The course covers everything from the basic functions of the programme, such as the introduction to the data editor and variable management, to advanced analysis and visualisation techniques. This course therefore provides the fundamental knowledge to carry out complex bibliometric analyses and to present your findings clearly and concisely using STATA.

STRUCTURE

Module 1 – Introduction to STATA and the STATA framework

  • Overview of STATA in the bibliometric context.
  • Presentation of the STATA working environment: interface and features.
  • Importance of STATA in the analysis of bibliometric data.

Module 2 – Basic STATA commands

  • Introduction to the data editor: creation, import and management of datasets.
  • Basic use of commands and their function in data processing.
  • Initial operations and management of variables in STATA.

Module 3 – Correlations in STATA

  • Fundamentals of correlations and their importance in bibliometrics.
  • How to perform and interpret correlations in STATA.
  • Advanced techniques and considerations in correlating bibliometric data.

Module 4 – Visualisation in STATA

  • Introduction to visualisation tools in STATA.
  • Creating basic and advanced graphics for bibliometric data.
  • Interpreting and presenting visualisations for effective communication.

Module 5 – Advanced analysis: tests and regressions

  • Introduction to hypothesis testing in STATA.
  • Regression and analysis of variance (ANOVA) for bibliometric data.
  • Use and interpretation of the chi-square test in STATA.