Title: V' Primary Quantitative Research
1V. Primary Quantitative Research
- Data Analysis
- ADV 3501 Advertising Research
- Spring 04
2Housekeeping
- To read
- Chapter 15
- To do
- Extra credit case (4) (04/15)
- Final project (04/20)
- Handouts
- Grades
3Summer class
- Event Management PET 4905/ 5936
- M-Th, 3rd Period, CSE 221 (Tentative)
- Topics Event Bidding Process, Volunteers, Event
Security, Marketing and Sponsorship, ADA
Requirements for Events - Please contact Dr. Bennett at gbennett_at_hhp.ufl.ed
u.
4Revised schedule (Last 3 classes)
- 4/13 Analysis of quantitative data, reporting
research - 4/15 Catch up, presentation samples, QA, case.
- 4/20 Presentations
5Presentations
- Two 50 minute sessions
- 3 teams per session
- 8-10 minute presentation
- 2-4 minutes for QA
- Please choose one or two speakers
- Send file via email by 4/19 (3 PM)
- You need to be in your session
6Presentations
- Problem statement
- Major findings
- Secondary
- Qualitative
- Quantitative
- Recommendations based on findings
7Presentations (4/20)
8Analysis of quantitative data
- Descriptive statistics
- The means by which data is reported is partially
driven by the level of measurement
9Use of descriptive techniques
10Rule of thumb in data analyses
- Always report the total number of cases in each
table - Avoid computing proportion, percentages for lt50
cases.
11Descriptive techniques
- Frequency distribution
- A tally of the raw number of responses falling
into each category - Represents a one-to-one match between response
category and distribution of responses - Ordinal categories are treated as independent
units
12Example of frequency report
13Example of ordinal categories
Original question Please rank the following
attributes according to their importance in your
decision to choose a gas station
14Reporting frequency distributions
- Present the initial frequency distribution
(one-to-one match) - Re-categorize data as necessary to present
different angles of the data
15Example of frequency report
16Descriptive techniques
- Proportions
- The frequency of responses relative to the total
- Total response proportion 1.0
17Descriptive techniques
- Percentages
- Proportion multiplied by a quotient of 100
18Descriptive techniques (Ranks)
Original question Please rank the following
attributes according to their importance in your
decision to choose a gas station
19Descriptive techniques
- Ratios
- Used when relationship between objects is
important - X in relation to Y
- Example The ratio of young to old consumers in
the sample is 3515 or (35/1515/15) 2.331
20Descriptive techniques
- Mode
- Most frequently observed value in a set of data
- Mode21-25 years old
21Mode of ranks?
22Descriptive techniques
- Median
- The middle value of a data set
- Assumes an equal distribution of score above and
below the mid-point - Mode 21, Median 22
- DO NOT USE WITH NOMINAL DATA!
23Descriptive techniques
- Mean
- Provides a summary of the data average
- Assumes a normal distribution of the scores
- Often accompanied by a variance, and standard
deviation - DO NOT USE WITH NOMINAL OR ORDINAL DATA!
- Notation
- Mean
- Variance S2
- Standard deviation S
24Example
- Mean
- (420330230120)/50
- 22.00
25Example
- Mode
- Completely agree (4)
- Median
- Agree (3)
- (42031521051)/50 3.0
- S2 1.01
- S 1.02
26V. Primary Quantitative Research
- Report Presentation
- ADV 3501 Advertising Research
- Spring 04
27Effective writing
- Clear, concise, direct
- Thoughts are complete
- Attention given to details such as grammar,
spelling - Add, Aad and ad are three different things)
- Flow of thoughts
- Use your problem statement and objectives to
guide you
28The use of data in reports
- Graphics, tables in the context oif the written
presentation should be minimized - Tables should support discussion points
- Assume that tables are NOT self-explanatory
29The use of data in reports
- Cite Exhibit tables in a separate appendix
section - Each table and chart should be labeled with a
numerical identifier - Data is clearly labeled
- Always specify the total number of cases
- Table 6 (Please see appendix B) indicates that
60 of the subjects interviewed for this study
are males.
30The use of data in reports
- Bar charts are appropriate for category
comparisons - Pie charts visually represent portions of a whole
Gender
31The final slide of the semester!
- More is not necessarily better
- Highlight and synthesize information
- Leave the reader with food for thought