The following chapters deal with the scope of work and containing the following steps:
• Definition of the scope of work
• Development of a purposeful data base
• Specification of methods applied, in each case using one method with one variable (e.g. ANOVA models) and one method with two variables (e.g. multiple regression analyses).
• Analysis of the data base on the basis of the above methods by means of software SPSS from IBM
• Presentation of results
• Conclusions and interpretation of results
The project shall be compiled in the English language and shall be not exceed 20 pages in length. The procedures applied are described in the following chapter.
Inhaltsverzeichnis (Table of Contents)
- Scope of work
- Procedure
- General description
- Software SPSS from the Firma Company
- Analysis of Variance (ANOVA)
- Multiple Regression Analysis with two or more variables
- Definition and formulation of the task/hypothesis_
- Hypothesis 1 (one variable)
- Hypothesis 2 (two variables)
- Hypothesis 3 (three variables)
- Composition of the required data base
- Specification of the required variables
- Setting up the data structure in SPSS
- Evaluation of the data base/examination of hypothesis 1
- Examination of the preconditions
- Calculation of regression with one variable and interpretation of the results
- Evaluation of the data base / examination of hypothesis 2
- Examination of preconditions
- Calculation of regression with two variables and interpretation of the results_
- Evaluation of the data base / examination of hypothesis 3
- Examination of the preconditions
- Calculations of regression with three variables and interpretation of the results
- Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This document aims to provide a practical exercise in statistical analysis and evaluation of research results, focusing on the use of software SPSS from IBM. The exercise involves defining a scope of work, developing a data base, applying statistical methods such as ANOVA and multiple regression analysis, analyzing the data, presenting the results, and drawing conclusions.
- Statistical analysis using SPSS software
- Application of ANOVA and multiple regression methods
- Data base development and evaluation
- Interpretation and presentation of results
- Practical application of statistical methods in research
Zusammenfassung der Kapitel (Chapter Summaries)
The first chapter defines the scope of work, outlining the key steps involved in the analysis, including data base development, application of statistical methods, and presentation of results. The second chapter details the procedure for conducting the analysis, highlighting the steps involved in data collection, analysis, and interpretation. Chapter 3 provides general descriptions of the software SPSS and the statistical methods used, specifically ANOVA and multiple regression analysis. The fourth chapter focuses on the definition and formulation of the hypotheses to be tested, including the specifications for hypotheses involving one, two, and three variables. Chapter 5 discusses the composition of the data base, including variable specification and data structure setup within SPSS. Chapters 6, 7, and 8 delve into the evaluation of the data base for each hypothesis, examining the preconditions, conducting regression analysis, and interpreting the results. The final chapter concludes the analysis, summarizing the findings and interpreting the results.
Schlüsselwörter (Keywords)
This document focuses on the practical application of statistical methods, primarily ANOVA and multiple regression analysis, using SPSS software. It explores data base development, analysis, interpretation, and presentation of research results within the framework of a specific exercise. The document emphasizes the importance of understanding the preconditions for statistical analysis, the proper application of statistical methods, and the critical interpretation of results.
- Citar trabajo
- M.Sc. Wolfgang Illig (Autor), 2011, Statistical analysis in practice and Evaluation of research results, Múnich, GRIN Verlag, https://www.grin.com/document/180784
