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Presenting the data of a research project, writing strategies '

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How to present the data of your research project, - and how data are presented ... cassava. nuts. rice. millet. sorgh. maize. yr. Region. Fig. 1. Table 1. ... – PowerPoint PPT presentation

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Title: Presenting the data of a research project, writing strategies '


1
Lecture 2.1
  • Presenting the data of a research project,
    writing strategies .

2.1. How to present the data of your research
project, - and how data are presented in
different disciplines. 2.2. Important points
when presenting a research project, - and how to
critically read a research article.
2
The different ways of presenting data of a
research project commonly varies greatly from
discipline to discipline.
  • - Between disciplines
  • What are the different writing styles within the
    article on traditional knowledge and use of
    natural resources in Guatemala by Nesheim et al.,
    and the article by Stige et al. concerning
    climate and agropastoral production in Africa,
  • - And among disciplines
  • What are the different writing styles between
    the among articles and the article by Ortner, or
    Wilhite et al. 2001?

3
  • Form and structure.
  • Length of texts different scientific traditions
    in natural and social sciences.
  • Note the different length of the articles in the
    compendium.
  • Seldom foot-notes in text of natural sciences..
  • Take two minutes and think of differences
    advantages and disadvantages with long texts
    versus short texts!

4
  • Rigid structure versus non rigid structure.
  • i.e. do not follow the purpose, methods, results
    discussion structure.
  • The structure by headlines in the article by
    Nesheim et al., compared to the article by Ortner.
  • By Nesheim et al.
  • Introduction
  • Study area
  • Methodology
  • Data analysis
  • Results
  • Discussion
  • Conclusion

By Ortner 1. Geerts, Culture and power 2. Death
and orientalism 3. Thick resistance, the cultural
construction of agency 4. Death happens 5.
Conclusions Ironies of theory
5
Still, in most written texts variants of the
below points are included.
  • Introduction
  • Methodology
  • Results
  • Discussion
  • Conclusion

6
Introduction (and study area)
  • Introduce the subject of interest.
  • Purpose
  • Ex. Peres et al. article Here we show that
    patterns of variation in population size
    structure are consistent with recruitment
    bottlenecks resulting from long-term harvest.
  • The need for the study!
  • As an example, the need for the study is clearly
    stated in the article by Stige et al. We need
    detailed knowledge about how different crop and
    livestock types respond...
  • Background, situate the frame of the study within
    the larger context.

7
Introduction (and study area)
  • Hypothesis / Research questions.
  • The hypothesis or the research questions must be
    specifically focused.
  • Make sure that the questions are answered in the
    research article.
  • Place of research (study area).
  • includes information of the natural environment.
  • the history of the area.
  • various characteristics concerning the human
    population in the area.
  • A figure of the study area are often imbedded in
    the article.

8
Background
  • Include a more in-depth introduction of the
    subject to be discussed.
  • It could include historical facts, or other
    information of importance for the subject of
    focus.
  • Generally a different headline in the paper.
  • Ex. In Nesheim et al. 2006 The migrant
    community and the study area, in Wilhite et al.
    1996 Contrasts in background variables.

9
Methodology and (statistical analysis).
  • Methodology is important for the validity of the
    data and the comparability of the data.
  • Collect data in a systematic way using an
    explicit methodology, to show how we arrived at
    our conclusions.
  • Plot design and data collection must be
    accurately described.

10 m
100 m
10
Methodology and (statistical analysis).
  • Who and what will be studies?
  • How were the informants selected?
  • Which variables are measured and what are the
    units.
  • Statistical analysis/analysis of data, often as a
    separate under-section.
  • how are data coded and categorized
  • which analysis is being preformed and how it is
    being preformed.

RPij k0 S0(longi, lati)
11
Results/Findings
  • The result section should include own results
    only, and no elements of discussion.
  • Tables and figures may visualize data in a nice
    way.
  • Tables and figures must be mentioned in the text.
  • Tables and figures must be clearly labeled.

The road
skid trails
felling gaps
The logging 4 plot.
12
Results/Findings
Fig. 1
-The density of seedlings and high, e.g. 180
230 seedlings for then to decline rapidly in
the subsequent dbh classes (fig. 1). -The
climate effects we observe are strong, and
particularly so for southern Africa, and
particularly
Regeneration classes of Calophyllum brasiliense
Table 1.
so for maize(Table 1) (Stige et al. 2006).
13
Results
  • Dont use inaccurate interpretation of your
    findings to make them agree with the conclusions
    youre after.
  • Dont report conclusions that are unsupported by
    your actual research
  • Dont cover up results that you dont like.
  • Report your findings accurately and rethink your
    original position.

14
Discussion
  • Each paragraph should have four parts, main
    message, critical assessment, comparison with
    other studies and conclusion.
  • The same relates to papers in which the findings
    and the discussion is written together.
  • Start with the main message answering the
    question posed in the introduction, and include
    the main supporting evidence.
  • Our results imply that African food production
    may be severely reduced if the global climate
    changes toward more El Niño-like conditions, as
    most climate models predict (IPC 2001). (Stige et
    al. 2006).
  • The clear message is that current Brazil nut
    harvesting practices at many Amazonia forest
    sites are not sustainable in the long term (Peres
    et al. 2003).

15
Discussion
  • All kinds of explanation or forming of questions
    should be stated here.
  • Discuss similarities and differences between
    different papers.
  • Similar results by other scientists should be
    used to support your result.
  • Documentation of different results is important
    to throw light on differences in f. instance
    methodology, or simply that the issue is more
    complex. Differences could also be used to put
    focus on a situation.
  • Ex. Nesheim et al. page 121 in the compendium.
  • Build up arguments based on findings
  • The process of knowledge transmission have
    changed form long-term learning to short-term
    learning and may be part of the reason why people
    have changed their resource use and consumption
    pattern Nesheim et al. 2006.

16
Discussion
  • Put in text documentation and source information
    in proper form, i.e. remember references..
  • A statement should be supported by other research
  • A similar finding should be referred for support
    to your finding.
  • It is allowed to speculate, but be aware of
    speculation that is not documented.

17
Conclusion
  • Draw the lines.
  • Comments, that is comments on possible
    implication and suggestions for further research.
  • Dont report conclusions that are unsupported by
    your actual research.
  • Dont introduce new material.
  • In most natural science papers, the conclusion is
    part of the discussion..
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