This document provides an overview of interpretation and report writing in research methodology. It discusses the meaning, objectives, importance, and process of interpretation. Key techniques of interpretation include explanations, consideration of extraneous information, guidance from experts, and focusing on relevant factors. The document also examines the meaning, objectives, structure, steps, and precautions of report writing. It outlines the typical sections of a report, including the title page, table of contents, methodology, results, discussion, conclusions, and references.
Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
The editing , coding , tabulation of data is been explained in this ppt.
Interpretation refers to the task of drawing inferences from the collected facts after an analytical and or experimental study.
In fact, it is a search for broader meaning of research findings.
The task of interpretation has two major aspects viz.,
the effort to establish continuity in research through linking the results of a given study with those of another, and the establishment of some explanation concepts.
Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
The editing , coding , tabulation of data is been explained in this ppt.
Interpretation refers to the task of drawing inferences from the collected facts after an analytical and or experimental study.
In fact, it is a search for broader meaning of research findings.
The task of interpretation has two major aspects viz.,
the effort to establish continuity in research through linking the results of a given study with those of another, and the establishment of some explanation concepts.
Statistical analysis, presentation on Data Analysis in Research.Leena Gauraha
presentation on Data Analysis in Research, Meaning of Data analysis, Objectives & Steps of Data analysis, Types of Data analysis, Benefits to Business from Data analysis, Data Interpretation Methods in Data analysis.
tribhuvan University
M.A population Studies
Research methods for population analysis
Data Processing, editing and coding
if any mistakes, suggest me to improve it.
thank you
hope its useful for all :)
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
Classify data into Qualitative and Quantitative data.
Scales of Measurement in Statistics.
Nominal, Ordinal, Ratio and Interval
Prepare table or continuous frequency distribution.
Research Methods vs Research MethodologySundar B N
This ppt elaborate Research Methods vs Research Methodology which covers Research Methods Versus Methodology, Research Methods, Research Methodology, Difference Between Research Methods and Methodology.
Subscribe to Vision Academy for Video assistance
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
In this ppt viewer will be able to know about how to write the report for the particular research. There are ethics to write means it should be easily understandable to the audience. Need to keep in mind that who is going to be audience.
Portion covered:
1. Characteristics of a Research Report
2. Types of Research Report
3. Importance of a Research Report
4. Guide to Writing a Research Report
5. Structure of a Research Report
6. Tips for Writing a Research Report
7. How to Gather Research Data for Your Report?
Statistical analysis, presentation on Data Analysis in Research.Leena Gauraha
presentation on Data Analysis in Research, Meaning of Data analysis, Objectives & Steps of Data analysis, Types of Data analysis, Benefits to Business from Data analysis, Data Interpretation Methods in Data analysis.
tribhuvan University
M.A population Studies
Research methods for population analysis
Data Processing, editing and coding
if any mistakes, suggest me to improve it.
thank you
hope its useful for all :)
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
Classify data into Qualitative and Quantitative data.
Scales of Measurement in Statistics.
Nominal, Ordinal, Ratio and Interval
Prepare table or continuous frequency distribution.
Research Methods vs Research MethodologySundar B N
This ppt elaborate Research Methods vs Research Methodology which covers Research Methods Versus Methodology, Research Methods, Research Methodology, Difference Between Research Methods and Methodology.
Subscribe to Vision Academy for Video assistance
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
In this ppt viewer will be able to know about how to write the report for the particular research. There are ethics to write means it should be easily understandable to the audience. Need to keep in mind that who is going to be audience.
Portion covered:
1. Characteristics of a Research Report
2. Types of Research Report
3. Importance of a Research Report
4. Guide to Writing a Research Report
5. Structure of a Research Report
6. Tips for Writing a Research Report
7. How to Gather Research Data for Your Report?
Resrach report ppt, based on Resarch methodology especially for marketing students and mba, use in survey, it will help in everything, all things are in easy language,
RESEARCH REPORT, Types of Research Report, Layout of Research Report, REPORT PREPARATION AND PRESENTATION PROCESS, Oral Presentation, Report Format, Most research reports include the following elements, Report Writing, Precautions in Preparing the Research Report, Mechanics of writing a research report, Bibliography
how to write bibliography
Similar to Interpretation in report writing in RM (20)
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
5. MEANING
• The process of making in the sense
of numerical data that has been
collected, analysed and presented.
• A common method of assessing
numerical data is known as statistical
data analysis and the activity of
analysing and interpreting data in
order to make prediction is known as
inferential statistics.
6. • INTERPRETATAION refers to the task
of drawing inferences from the
collected facts after an analytical and
or experimental study.
• The task of interpretation has two
major aspects.
• Continuity
• Explaflat concepts
7. OBJECTIVE-1
• Reports communicate information which has been
compiled as a result of research and analysis of
data and of issues. Reports can cover a wide range
of topics, but usually focus on transmitting
information with a clear purpose, to a specific
audience. Good reports are documents that are
accurate, objective and complete. They should also
be well-written, clearly structured and expressed in
a way that holds the reader's attention and meets
their expectations. The true value of the research
may be assessed through a report since the written
report may be the "only tangible product of
hundreds of hours of work.
8. OBJECTIVE-2
Usefulness and utility of research findings lie in
proper interpretation
To understand the abstract principle that works
beneath the finding
Establishment of explanatory concepts
To explain the real significance i.e. why his
findings are what they are.
Interpretation is required for hypothesis results.
9. IMPORTANCE
• Explanation helps to highlight that
data does not stand on its own, but
rather always requires
interpretation.
• Research is embedded in a
complex system and as a result,
findings are not always as black
and white as we would like to think
10. PURPOSE
• It is through interpretation that the researcher can
well under- stand the abstract principle that works
beneath his findings. Interpretation leads to the
establishment of explanatory concepts that can
serve as a guide for future research studies; it
opens new avenues of intellectual adventure and
stimulates the quest for more knowledge.
Researcher can better appreciate only through
interpretation why his findings are what they are and
can make others to under- stand the real
significance of his research findings.
11. PROCESS OF
INTERPRETATION
Review of statistical data (graphs, pie
charts etc.)
Using spreadsheets and statistical
software. (excel sheets, tabular forms etc.)
Interpreting Qualitative data. (numerical
data, surveyed data etc.)
Interpreting Quantitative data. (Surveyed
data, Interview methods etc.)
14. EXPLAINANTIONS
• A pragmatic-rhetorical notion of
explanation may help us to solve
some methodological disputes
within the philosophy of the social
sciences.
16. GUIDANCE
• Guidance of an expert for the
purpose of interpretation in
research is must.
You must ensure the quality and
path of your research with a field
expert.. Sometimes also known
as RESEARCH GUIDE.
17. RELEVANT FACTORS
• A literature review should be
more than a rote recitation of
research studies. It must also
contain analysis and
synthesis.
• The linkage of study with the
topic is must.
18. PRECAUTIONS
Precautions in Interpretation Researcher must pay
attention to the following points for correct
interpretation:
(a ) The data are appropriate, trustworthy and
adequate for drawing inferences.
(b) The data reflect good homogeneity and that
(c) Proper analysis has been done through statistical
methods.
(d) The researcher must remain cautious about the
errors that can possibly arise in the process of
interpreting results. He should be well equipped with
and must know the correct use of statistical measures
for drawing inferences concerning his study.
20. MEANING
• Latin Word ‘Portare’ means ‘to
carry’.
• RE+PORT =to carry information
again.
• Document giving summarised and
interpretative information of research
done based on factual data, opinions
and about procedure used by the
individual or group.
21. OBJECTIVE OF REPORT
WRITING• to enable us to keep records;
• to inform all interested people to tell about failures and
successes
• for ourselves, to keep on knowing what we are doing
• to communicate to donors and funders (how the project
progresses)
• so donors could be encouraged knowing what happened with
their donations
• to let other people know about the developments of a project
• so other people can be encouraged to do their own projects
• so community members would be encouraged and informed
• so other people can learn what we did
• to help researchers to do their work
• to determine further actions
• to use for evaluation.
22. PARTS OF REPORT
WRITING
THE PRELIMINARY
(PREFATORY PAGES)
THE TEXT (MAIN BODY OF
REPORT)
THE REFERENCE MATERIAL
24. SECTIONS OF REPORT
WRITINGSECTION PURPOSE
Title page Title of report
Student name/student number
Course/subject
Date due
Table of contents Show the section of report
Executive summary Gives a summary of the whole report
Outlines -purpose, research method,
findings, main conclusions and
recommendations.
Mainly past tense Written last
Introduction Outlines context, background and
purpose Defines terms and sets limits
of the research The reader/audience
can easily identify what, how, why
(Mainly uses past tense and can be
written later although presented first)
25. SECTIONS OF REPORT
WRITING
SECTION PURPOSE
Methodology Explains how research was done and
outlines how the data was collected
Results/Findings Presents findings of the research Facts
only - no interpretation Uses graphic form
(eg. tables & graphs)
Discussion Presents an interpretation and evaluation
of the results. Analyses results - draws
together different aspects of the findings,
findings of other studies and refers to
literature
Conclusions Brief statement of what was found
Recommendation Suggest suitable changes/solutions
Appendix Attachments of additional information
(e.g.. surveys, questionnaires, glossary
etc.)
Reference All references used
26. STEPS OF REPORT
WRITING
Logical analysis of subject matter
Preparation of the Final outline
Preparation of the Rough Draft
Rewriting and Polishing
Preparation of the final
bibliography
Writing the final Draft
27. REQUIREMENTS
1.A Title Page with:
a. The paper title
b. Your name, the course, and the date
c. The professor's name
d. A 1 paragraph abstract
2. A Table of Contents with:
a. Subheadings that appear in the text
b. Page number of these headings
3. A Research Paper with:
a. Begins with an Introduction
b. Has a well organized Body divided into Section
and Subsections
c. Ends with a Conclusion or Summary
4. A Reference or Bibliography
5. If needed, an Appendix with the data used to construct the map or
other information not cited in the text.
28. PROCESS OF REPORT
WRITING
I. Decide on the 'Terms of reference’
II. Decide on the procedure
III. Find the information
IV. Decide on the structure
V. Draft the first part of your report
VI. Analyse your findings and draw conclusions
VII. Make recommendations
VIII. Draft the executive summary and table of contents
IX. Compile a reference list
X. Revise your draft report
XI. Presentation
29. PRECAUTIONS IN REPORT
WRITING
The length of the report should be kept keeping in view the
fact that it should cover the subject in length but it should be
short enough to maintain the interest of readers.
The report should not be dull. it should be such as to sustain
one’s interest.
The report should possess the features of simplicity and
avoiding vagueness.
Logical analysis should be the very basis of preparing a
research report.
8. The report should also suggest the policy implication
relating to the problem under consideration and should help
us in future forecasting.
9. All the technical data should be appended in the report.
30. CASE STUDY
• A case study on HOW COLOUR
AFFECTS ONE’S MOOD..???
• http://www.readwritethink.org/files
/resources/lesson_images/lesson1
155/example_paper.pdf