V' Primary Quantitative Research - PowerPoint PPT Presentation

1 / 31
About This Presentation
Title:

V' Primary Quantitative Research

Description:

M-Th, 3rd Period, CSE 221 (Tentative) Topics: Event Bidding Process, Volunteers, Event ... A tally of the raw number of responses falling into each category ... – PowerPoint PPT presentation

Number of Views:32
Avg rating:3.0/5.0
Slides: 32
Provided by: jouan1
Category:

less

Transcript and Presenter's Notes

Title: V' Primary Quantitative Research


1
V. Primary Quantitative Research
  • Data Analysis
  • ADV 3501 Advertising Research
  • Spring 04

2
Housekeeping
  • To read
  • Chapter 15
  • To do
  • Extra credit case (4) (04/15)
  • Final project (04/20)
  • Handouts
  • Grades

3
Summer 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.

4
Revised schedule (Last 3 classes)
  • 4/13 Analysis of quantitative data, reporting
    research
  • 4/15 Catch up, presentation samples, QA, case.
  • 4/20 Presentations

5
Presentations
  • 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

6
Presentations
  • Problem statement
  • Major findings
  • Secondary
  • Qualitative
  • Quantitative
  • Recommendations based on findings

7
Presentations (4/20)
8
Analysis of quantitative data
  • Descriptive statistics
  • The means by which data is reported is partially
    driven by the level of measurement

9
Use of descriptive techniques
10
Rule of thumb in data analyses
  • Always report the total number of cases in each
    table
  • Avoid computing proportion, percentages for lt50
    cases.

11
Descriptive 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

12
Example of frequency report
13
Example of ordinal categories
Original question Please rank the following
attributes according to their importance in your
decision to choose a gas station
14
Reporting frequency distributions
  • Present the initial frequency distribution
    (one-to-one match)
  • Re-categorize data as necessary to present
    different angles of the data

15
Example of frequency report
16
Descriptive techniques
  • Proportions
  • The frequency of responses relative to the total
  • Total response proportion 1.0

17
Descriptive techniques
  • Percentages
  • Proportion multiplied by a quotient of 100

18
Descriptive techniques (Ranks)
Original question Please rank the following
attributes according to their importance in your
decision to choose a gas station
19
Descriptive 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

20
Descriptive techniques
  • Mode
  • Most frequently observed value in a set of data
  • Mode21-25 years old

21
Mode of ranks?
22
Descriptive 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!

23
Descriptive 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

24
Example
  • Mean
  • (420330230120)/50
  • 22.00

25
Example
  • Mode
  • Completely agree (4)
  • Median
  • Agree (3)
  • (42031521051)/50 3.0
  • S2 1.01
  • S 1.02

26
V. Primary Quantitative Research
  • Report Presentation
  • ADV 3501 Advertising Research
  • Spring 04

27
Effective 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

28
The 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

29
The 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.

30
The use of data in reports
  • Bar charts are appropriate for category
    comparisons
  • Pie charts visually represent portions of a whole

Gender
31
The final slide of the semester!
  • More is not necessarily better
  • Highlight and synthesize information
  • Leave the reader with food for thought
Write a Comment
User Comments (0)
About PowerShow.com