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Chapter

Data Analysis: An Overview

Chapter

Data Analysis: An Overview

DOI link for Data Analysis: An Overview

Data Analysis: An Overview book

(Okay, you’ve got the answers … now what?)

Data Analysis: An Overview

DOI link for Data Analysis: An Overview

Data Analysis: An Overview book

(Okay, you’ve got the answers … now what?)
ByDominique Moyse Steinberg
BookThe Social Work Student’s Research Handbook

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Edition 2nd Edition
First Published 2015
Imprint Routledge
Pages 6
eBook ISBN 9781315730622

ABSTRACT

This chapter analyzes the data is to make meaning of one's results, both descriptively and interpretively. Qualitative data analysis is usually associated with exploratory studies and consists of analyzing the written word. Ethnography, ethno methodology, content analysis, narrative analysis, conversation analysis, grounded theory analysis, case-oriented analysis are references to approach to analysis that seek out and seek to understand text or language. The most generic reference to these types of analysis is content analysis. Qualitative analysis is to expect a lot of work during and after implementation. Quantitative data analysis is usually associated with large-scale descriptive, experimental, or correlational studies and consists of understanding numbers that describe findings or those that tells about the capacity to generalize. Quantitative analysis is to spend a lot of time in designing or choosing an appropriate standardized instrument, which means front-heavy labour. Both qualitative and quantitative data have value in social work research.

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