Statistik und quantitative Forschungsmethoden

Quantitative research methods can be used in social work to analyze data, calculate averages, perform bivariate data analysis, and perform multiple linear regression. This book provides examples and practical solutions for applying these methods using statistical basics and relevant data analysis software (SPSS). It offers students independent solutions and suggestions for quantitative methodical procedures, with a practice-oriented introduction to empirical work.

Format: Hardback
Length: 400 pages
Publication date: 12 July 2021
Publisher: Vandenhoeck & Ruprecht GmbH & Co KG

Quantitative research methods hold immense potential for social work, enabling researchers to gather data and analyze patterns in a systematic and rigorous manner. This approach encompasses a wide range of survey methods tailored to specific research objectives, allowing social workers to collect valuable insights from their target populations.

One of the key methods in quantitative research is the calculation of the arithmetic mean. This statistical measure provides a central point of reference for a dataset by summing up all the values and dividing them by the total number of observations. By understanding how to calculate the arithmetic mean, social workers can effectively summarize and interpret data, making informed decisions based on empirical evidence.

Another important tool in quantitative research is bivariate data analysis. This method involves analyzing the relationship between two variables or factors. By examining the correlation between these variables, social workers can identify patterns, associations, and relationships that may influence their research outcomes. Bivariate data analysis helps researchers to understand the complex interplay between different variables and to draw meaningful conclusions about the relationships between them.

Multiple linear regression is a powerful tool that allows social workers to predict the relationship between multiple independent variables and a dependent variable. This method involves fitting a linear regression model to a dataset and using it to make predictions about the dependent variable based on the independent variables. Multiple linear regression is particularly useful when dealing with complex data sets and when seeking to explain the relationship between multiple variables.

To illustrate and demonstrate the application of quantitative research methods in social work, Dirk Hofäcker and Mojgan Stegl use numerous examples from different fields of activity. These examples showcase the practical relevance of quantitative research and its ability to address complex social issues. By linking research methods and procedures with analysis methods, the authors provide students with a comprehensive understanding of how to apply quantitative techniques in empirical work.

In addition to covering statistical basics and their application using relevant data analysis software (SPSS), Hofäcker and Stegl offer practical insights and suggestions for transferring quantitative methodical procedures to other practical contexts. This book serves as a valuable resource for students seeking to develop independent solutions and suggestions for quantitative methodical procedures in social work. It provides a well-founded, practice-oriented introduction to quantitative methodical procedures, equipping students with the skills and knowledge necessary to conduct empirical research effectively.

Overall, quantitative research methods play a crucial role in social work by providing researchers with a powerful set of tools to gather data, analyze patterns, and draw meaningful conclusions. By understanding and applying these methods, social workers can contribute to the field's knowledge base and improve the outcomes of their work with vulnerable populations.

ISBN-13: 9783525717790