Data collection, analysis, presentation, and 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.

Section

1
Data collection, analysis, and presentation: Introduction
07:43
2
Data
01:42
3
Primary vs secondary data
04:35
4
Quantitative vs. qualitative data
05:07
5
Quantitative data
04:13
6
Qualitative data
04:18
7
Data collection
03:05
8
Qualitative data collection
05:40
9
Quantitative data collection
03:03
10
Qualitative vs quantitative data collection
02:23
11
Data collection instruments
03:28
12
Reliability vs. Validity
13:55
13
Data analysis
5:34
14
Five types of data analysis
02:17
15
Seven Data Analysis Methods and Techniques
00:52
16
Two primary methods for data analysis
01:19
17
Data analysis tools
3:33
18
Data visualization
4:18
19
Data presentation methods
04:23
20
Purposes of data visualization
07:02
21
4 + 1 basic presentation types
03:42
22
Comparison
01:56
23
Composition
02:21
24
Distribution
01:49
25
Relationship
02:08
26
Trend
01:20
27
Table, figure, or text
05:18
28
Tables
10:26
29
Table design
12:01
30
Table hints
05:17
31
Table checklist
03:50
32
Figures, charts, graphs, or maps
19:52
33
Figure captions
08:02
34
Figure checklist
04:22
35
Determine which chart to use
06:22
36
Chart chooser
07:40
37
Figures: Comparison
01:58
38
Figures: Composition
01:53
39
Figures: Distribution
02:59
40
Figures: Relationship
02:13
41
Figures: Trend
02:13
42
Figures: Dos
04:55
43
Pie or donu chart
16:55
44
Bar chart
13:50
45
Column chart
13:13

Section

1
Data presentation: Tables & Figures: intro
07:08
2
Tables and Figures
02:54
3
Tables vs. Figures
07:20
4
Purpose of Tables and Figures
03:22
5
Design and Preparation Tables & Figures
07:23
6
Principles of Designing Tables & Figures
07:07
7
Graphical vs. Textual Presentation
07:05
8
Formatting Tables & Figures
10:25
9
Referring to Tables & Figures in the Text
10:49
10
Placement of Tables & Figures
17:04
11
Reprinting or Adapting Tables & Figures
13:47
12
Tables: Definition
01:51
13
Principles of Table Construction
09:55
14
Table Components
14:38
15
Table Numbers
02:55
16
Table Titles
05:46
17
Table Headings
32:02
18
Table Body
06:26
19
Decimal Values
05:00
20
Empty Cells
04:49
21
Conciseness
04:24
22
Citations in Tables
03:42
23
Table Notes
03:10
24
General Note
06:50
25
Specific Note
11:29
26
Probability Note
13:26
27
Formatting of Notes
05:17
28
Use of Notes to Eliminate Repetition
03:32

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Lectures: 73
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Data collection, analysis, presentation, and interpretation
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