Data collection, analysis, presentation, and interpretation

For researchers

Created by : Rated :4.1 1065 views

Last Updated: 2022-07-20 08:07:39 English Course Type: Self Learning

Data collection
Data analysis
Data presentation
Data interpretation

Data, types of data, primary vs secondary data, qualitative vs. quantitative data, data collection, analysis, presentation, and interpretation

In fact, the step between the third and fourth steps (i.e., step +1) is dedicated to doing the research itself and collecting the intended data. At this step, by taking into account the information you have gained so far, make sure that the topic you have selected is ok and apply changes if necessary, and look for answers to those research questions. In the next phase (i.e., the drafting phase), you’ll be taught how to write each and every section of your research paper. Using real examples from previously published papers, you’ll be shown how you can write your paper. At this step, your supervisor and advisor will help you step-by-step in order for collecting and analyzing the intended data.

Some other parts will be added to this course and you'll learn how to collect, analyze, present, and interpret data from A to Z. In the rest of the course, you'll learn how to draw different types of figures and charts, based on the types of data you've collected.

This course is specifically useful for researchers and authors of research articles and thesis/dissertations.

My other courses on 'how to write research papers'

Academicians
Researchers
MA and PhD students
Professors
BA and BSc students

Section 1 : Data 6 Lectures 00:27:43
Lecture 1 :
Intro Preview
Lecture 2 :
Data: Definition
Lecture 3 :
Primary vs. secondary data
Lecture 4 :
Quantitative vs. qualitative data
Lecture 5 :
Quantitative data
Lecture 6 :
Qualitative data
Section 2 : Data collection 6 Lectures 00:31:34
Lecture 1 :
Data collection: Definition
Lecture 2 :
Qualitative data collection
Lecture 3 :
Quantitative data collection
Lecture 4 :
Qualitative vs quantitative data collection
Lecture 5 :
Data collection instruments
Lecture 6 :
Validity vs. Reliability
Section 3 : Data analysis 5 Lectures 00:13:34
Lecture 1 :
Data analysis: Definition
Lecture 2 :
Five types of data analysis
Lecture 3 :
7 Data Analysis Methods and Techniques
Lecture 4 :
Two primary methods for data analysis
Lecture 5 :
Data analysis tools
Section 4 : Data visualization/presentation 10 Lectures 00:35:59
Lecture 1 :
Data visualization/presentation
Lecture 2 :
Data presentation methods (Tabular, Textual, Graphical)
Lecture 3 :
Purposes of data visualization
Lecture 4 :
4 + 1 basic presentation types
Lecture 5 :
Comparison
Lecture 6 :
Composition
Lecture 7 :
Distribution
Lecture 8 :
Relationship
Lecture 9 :
Trend
Lecture 10 :
Table, Figure or Text?
Section 5 : Tables 4 Lectures 00:31:34
Lecture 1 :
Tables: Intro
Lecture 2 :
Table design
Lecture 3 :
Tables: Hints
Lecture 4 :
Tables: Checklist
Section 6 : Figures 11 Lectures 00:42:38
Lecture 1 :
Figures: Do's
Lecture 2 :
Figures: Trend
Lecture 3 :
Figures: Relationship
Lecture 4 :
Figures: Distribution
Lecture 5 :
Figures: Composition
Lecture 6 :
Figures: Comparison
Lecture 7 :
Chart chooser
Lecture 8 :
Determine which chart to use
Lecture 9 :
Figures: Checklist
Lecture 10 :
Figure captions
Lecture 11 :
Figures, charts, graphs, maps, etc.
Section 7 : Charts 3 Lectures 00:27:04
Lecture 1 :
Column chart
Lecture 2 :
Bar chart
Lecture 3 :
Pie charts or Donut charts

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Ahmad Sharifzadeh,

16598 Course Views

13 Courses

Ahmad Sharifzadeh is a trilingual lecturer, author, translator, consultant, and editor & proofreader. I have taught different courses at more than 30 universities. I work as a part-time proofreader and editor for some international academic journals and publishers. In addition, I hold courses for BA and MA students, as well as PhD candidates. I also teach international students online. In addition, I work as a consultant for students who write their thesis, papers, etc. along with those who wish to apply for a scholarship as an MA, PhD, or Postdoc researcher. I have teaching experience at a dozen universities, lecturing different courses and workshops for post-graduate students, holding online courses for students from different universities, producing audio-visual materials for international students, and author of the books published by Amazon as follows: 1. How to write academic research papers (Volume 1): What should a researcher know and do before writing a research paper? 2. How to Write Academic Research Papers (Volume 2): Drafting, Revising, and Editing and Submitting the Manuscript 3. Academic English Grammar: For Intermediate and Advanced Learners