In educational research the data are
mostly collected through the scales which are about the views, perceptions,
attitudes of students, teachers or parents about a topic. However, there is a
significant question about these data: How do these data represent true
assumptions of the participants? In educational research the bias of the
researchers affects the hypothesis and data collection process (it may refer to
the view that all scholarship is ideological). Therefore, all data collection
analysis should be reviewed.
In educational research the data collected
from textual and audio sources are regarded as having a single meaning and the
resulting interpretation is carried out based on this assumption. In some cases
different coders are used to improve the reliability of the study. In this
attempts the consistency of coding is aimed (such as Miles/Huberman,
Clippendorf Alpha). In linguistic and semiological studies it is assumed that
there is intertextuality which means that each text is dependent on the previous
texts and that language determines the perceptions, views and attitudes of
individuals. However, texts are also influenced by historical, psychological
and sociological factors. In educational research do researchers follow true
information? It seems that pragmatic philosophy which argues that correctness
is not absolute, but functional is still dominant in educational research. On
the other hand, many people regard belief as one of the major criterion for
correctness. The reliability of the study results about the views, attitudes
and interests of individuals leads to the question of “do people produce
truth?”
In scientific research textual data are
considered to have a single meaning. This assumption is valid for text mining
and content analysis techniques. However, in order to reach true scientific
information the data should be analysed through such techniques as
hermeneutics, deconstruction and archeology of knowledge. This study deals with
the role of these techniques in qualitative research design.
The ultimate goal of scientific research
is to capture truth and correction. Scientific knowledge is the one of which
truth is commonly accepted and is consistent with the dominant paradigms. There
are certain methods to gather such scientific knowledge.
It has been accepted that research methods
used in social science is different from those used in natural sciences.
Cause-effect relationships observed in non-living beings cannot be valid for
individuals. In social sciences the reactions of individuals are accepted to be
searched for. Reactions have been considered to be affected by many distinct
factors.
In qualitative research data are gathered
through observations and interviews. Answers by the study participants to
scales are considered to reflect the true views of them. However, researchers
may have doubt about these answers. Hermeneutics also contain such doubts which
make it difficult to capture scientific knowledge.
There is no absolute true information.
Instead, there are different sense and interpretations of individuals, which is
the basic premise of hermeneutics. It requires the use of different coders and
different interpretations. Therefore, the data collected should be coded by
different people and interpretations should be done by different individuals.
In educational research survey
questionnaires used as a data collection tool deal with the views of teachers.
Instead, these tools provide us with the legal and correct answers based on the
current regulations. We may study this case following Foucault’s “Archeology of
Knowledge” technique and see that teachers should give such answers.Many argue
that in qualitative research hermeneutics should be major basis. Everybody
recognise the significance of interpretation in qualitative research, but the
valid method for it has not been well-established. The data gathered from social science and
humanist studies should be discussed in relation to their benefits and use in
developing solutions.
Primary Language | English |
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Subjects | Studies on Education |
Journal Section | Research Articles |
Authors | |
Publication Date | June 1, 2016 |
Acceptance Date | November 30, 2016 |
Published in Issue | Year 2017 Volume: 4 Issue: 1 |