Formulating Hypotheses Graphically in Social Research

Formulating Hypotheses Graphically in Social Research This article explores the proposition that the appropriate use of suitable forms of graphic communication can improve the formulation and presentation of hypotheses in quantitative social science research. The creative nature of scientific diagrams is discussed and the technological advances in computer graphic media are seen as part of a ‘visual revolution’ which is markedly changing not only the way we see things but also the way we think and do things today. Brief historical views on the use of hypotheses and diagrammatic languages in science are given. The restricted use of graphic communication tools in social research academic documents is discussed and the importance of using well-designed data graphics in the production and transmission of scientific knowledge is highlighted. Hypotheses are conceptualised and their importance within social research is emphasised. A methodological approach for formulating hypotheses graphically is proposed based on the use of three types of language: notation, statement (ordinary language) and diagram. Some criteria are suggested for the selection of diagram type dependent on the related variables. Several examples are given covering the different models proposed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Formulating Hypotheses Graphically in Social Research

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Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1023/A:1004297832762
Publisher site
See Article on Publisher Site

Abstract

This article explores the proposition that the appropriate use of suitable forms of graphic communication can improve the formulation and presentation of hypotheses in quantitative social science research. The creative nature of scientific diagrams is discussed and the technological advances in computer graphic media are seen as part of a ‘visual revolution’ which is markedly changing not only the way we see things but also the way we think and do things today. Brief historical views on the use of hypotheses and diagrammatic languages in science are given. The restricted use of graphic communication tools in social research academic documents is discussed and the importance of using well-designed data graphics in the production and transmission of scientific knowledge is highlighted. Hypotheses are conceptualised and their importance within social research is emphasised. A methodological approach for formulating hypotheses graphically is proposed based on the use of three types of language: notation, statement (ordinary language) and diagram. Some criteria are suggested for the selection of diagram type dependent on the related variables. Several examples are given covering the different models proposed.

Journal

Quality & QuantitySpringer Journals

Published: Oct 6, 2004

References

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