1. Presenting Research Findings

2. Assessment criteria Assignment conclusion- Dissemination
Using up to three examples, candidates will evaluate the use of different narrative and diagrammatic formats to meet the needs of different stakeholders.

3. Presenting data Consider your audience/stakeholders Who are they?
What ‘language’ do they speak?
What are the words they are listening
for?
Is there more than one audience?

4. Reporting formats Who is your report aimed at?
Will you present information differently for different stakeholders?
How will you shape the views of readers?

5. Formats How will information be presented? Oral Electronic Written
Formal report
Informal report
What diagrams will you include?
What are the benefits of images?

6. Words/Narrative
Some points to consider....

7. The audience Consider back to your research question..
What did you want to find out
Who will you tell about your findings?
What is the best way to engage them?

8. Formal Report Often uses a house style Written in third person Lengthy
Not always read

9. Informal Report Less structure Lengthy at times
Will it have a sufficient impact

10.
Over use
Easy to track
Large attachments

11. Presentation Facilities available? Who can attend
Can you go into enough detail
Can be engaging and motivating
Can incorporates numbers diagrams and narrative

12. Meetings Who will be there? Is it the right format for the topic
Will you provide a written report as well?
A good time to answer questions and discuss findings

13. Posters A current trend in academic circles A static visual medium
Will you be able to expand on your poster?

14. Online Do you have an intranet or a website to post your findings?
Will people find it?
Will people read it?
People can chose when to visit the information
Sustainable and can engage

15. Numbers/Diagrams

16. Why use numbers diagrams??
You are asked to give a presentation on the pattern of recruitment in recruiting staff over a year…How do you show this?

17. Methods of presenting data
Images are engaging and can quickly and easily show trends and patterns in data
Take care to chose a suitable format
Titles and Labels are essential
Too much information can make images confusing

18. Tabulation A table is a matrix of data in rows and columns
Most methods of data collection results in large volumes of data which is difficult to read and understand.
Tabulation extracts unnecessary details and organises the data in a neat, relevant and understandable form.

19. A one way table
A sample of 300 customer accounts was taken, 140 were current, 75 were up to 30 days, 50 were up to 60 days and 35 were up to 90 days old. How would you show this information?
Solution : a simple one way table
The Age of Accounts
Age number of accounts
Current 140
Current - 30 days
30-60 days
60-90 days
Total

20. A two way table
Using the data already given and the additional information that the majority of customers were u.k. based apart from the following
foreign ones:30 current, 20 up to 30 days, 15 up to 60 days and 5 up to 90 days.
Solution – a simple two way table
300 customers by age and nationality.
Current day day day Total
U.K
Foreign
Total

21. Guidelines for constructing a table
Have a clear title and suitable headings.
If data contains a number of categories or sub categories use a two way table.
Insert column and row sub totals where appropriate.
Use a total column.
Use a total row.
Use clear labels.
Should not hold too much data as difficult to read.
State the source of the data.
Units should be manageable i.e. £000’s
It is sometimes useful to show percentages, & they should always add up to 100%.

22. A simple bar chart No of students
Bar chart- simple and easy to understand-
Height of the bar is proportional to the frequency
There are three types of bar chart:
(a) Simple
(b) Multiple
(c) Compound
The data on the continent of origin of a class of students will be used to construct each type of bar chart.
Ask students what the difference is between bar charts and histograms. With bar charts the height of the bar is proportional to the frequency. However, for histograms, it is the area of the bar that is proportional to the frequency

23. Presentation of data - Histogram
Numberof bags
Weight (kg) 12 6 4 8 10 2
Histogram- no space between the bars allows for peaks and troughs to be seen easily
Graph of frequency distribution
3 step approach to histograms
Step 1: Select the standard class width
Step 2: Draw the classes with standard widths with heights equal to the frequency
Step 3: Draw the remaining classes with heights calculated using the formula
Height of bar =frequency x standard class width
actual class width
Using the frequency distribution from example 1, draw a histogram showing the weight of sand bags

24. Component bar chart showing the married or not married status of the student group.
Allows for grouping of data.

25. % Component bar . Allows for easy comparison of different sectors
Source: competition commission, 2000

26. Presentation of data – Pie chart
Shows the percentage of a whole
Pie Chart
Circle is split into slices in proportion to the frequency.
Total number of degrees in a circle is 360 x 85% =

27. Line graphs
A diagram representing the relationship between two variables, x and y.
presenting data, interpreting data, illustrating costs and profit functions,
changes over time.
The two variables, x and y are related, and
drawn on two axes:
the vertical axis representing y, the dependent variable
the horizontal axis representing x, the independent variable.

28. Presentation of data - graph

29. Scatter graphs Scatter graphs are graphs which are used to exhibit
data rather than equations which produce straight lines or curves, in order to compare the way in which two variables vary with each other.

30. Time series long term movements or basic trends
cyclical movements – long term oscillations about trend (e.g. trend cycle)
seasonal movements – shorter term, regular patterns due to different seasons
irregular or random movements – due to chance events.
Consider how time series will be used in HR

31. Time series A time series is a set of values which vary with time.
Observations will be taken at specific intervals