Statistical Analysis with SPSS Training in Copenhagen, Denmark

Statistical Analysis with SPSS training provides participants with the skills to conduct data analysis using IBM's SPSS software. The course covers key statistical techniques such as descriptive statistics, hypothesis testing, regression analysis, and ANOVA. Participants learn to manage data sets, clean data, and perform advanced statistical tests to interpret research findings. The training also includes hands-on practice with SPSS tools for data visualization, creating reports, and presenting results effectively. By the end of the course, attendees will be able to use SPSS to perform complex statistical analysis and make informed data-driven decisions.

Introduction to SPSS and Basic Statistics

• Introduction to SPSS: Overview of the SPSS environment and navigation.

• Importing Data into SPSS: Working with Excel, CSV, and other file formats.

• Data Cleaning and Transformation: Handling missing data, recoding variables, and transforming data.

• Descriptive Statistics: Calculating and interpreting measures of central tendency (mean, median, mode), dispersion (standard deviation, variance), and shape (skewness, kurtosis).

• Graphical Representations: Creating histograms, bar charts, box plots, and scatter plots.

• Simple Inferential Statistics: Introduction to hypothesis testing, t-tests, and chi-square tests.

• Hands-On Exercises

Advanced Statistical Analysis and Reporting

• Inferential Statistics: Understanding and performing ANOVA (Analysis of Variance) and non-parametric tests.

• Correlation Analysis: Understanding correlation coefficients and performing correlation tests.

• Regression Analysis: Introduction to linear regression, multiple regression, and interpretation of results.

• Advanced Graphing: Creating advanced graphs such as line charts, clustered bar charts, and pie charts.

• SPSS Output Interpretation: Understanding and presenting the SPSS output, including p-values, confidence intervals, and test statistics.

• Reporting Results: Writing a statistical report with SPSS output, tables, and graphs.

• Hands-On Exercises

• Final Assessment and Q&A Session: Review of key concepts and practical applications.