Types of Methodologies

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Types of Methodologies

Surveys Part 2

Process

1.

2.

3.

4.

5.

6.

Determine the objectives

Delimit the sample

Construct the questionnaire

Conduct the pilot study

Establish the distribution process

Analyze the data

4. Conduct the Pilot Study

1 st pilot – colleagues, peers

2 nd pilot – participants who are part of the intended population

What are we looking for?

4. Conduct the Pilot Study

Look for:

Questions that lack discrimination

(answered the same by all)

Unexpected responses

May be poorly worded

Questions people don’t respond to

Instructions

Length of the survey

How easy/difficult it is to analyze

1.

Types of Surveys

Self-administered surveys

2.

Interviews

Mail

Group administration

Internet

E-mail

 Telephone

Interview

Personal Interview

Group Interview

Response Rate by Method

1. Web & mail

2. Web

3. E-mail

4. Mail

Mailed/Internet Survey Process

1. Advanced letter/e-mail

2. Survey

3. Reminder card/message

4. Final reminder card/message or end survey

Costs

Data entry

Skill

Pre-test

Internet

Software

Automatic entry & coding

Mail

Mailing, printing

Time consuming entry & coding

Need ability to develop survey

Same

Need to test system & data entry

-

Missed items Higher than mail

Open ended

?’s

No difference

Lower than internet

No difference

Survey Structure & Analysis

Each question structure implies a

“scale of measurement”

Likert, semantic differential, etc.

Scales guide statistical analysis

Scales of Measurement

1.

2.

3.

4.

Nominal Scales

Ordinal Scales

Interval Scales

Ratio Scales

SOM- Nominal

Lowest level of measurement

Words & not # values….not a rating

Each value defines a distinct category

Needs to be coded for Excel/SPSS

Example…..

_____ (1) Male _____ (2) Female

SOM - Nominal Data

 Other examples

2. What was your favorite activity?

(pick one)

___ Golf ___ Soccer ___Baseball

___ Golf (1) ___ Soccer(2) ___Baseball (3)

3. Have you attended this program previously?

___Yes ___No

 Unordered close-ended

SOM- Ordinal

Implied rank or order

Each category has a position higher than the previous

Distance between categories isn’t equal

Ie. 1st, 2nd and 3rd place

Example

AP Basketball poll

SOM - Ordinal

SOM - Interval

Ordered categories have meaningful size differences or distance between values

Distance between intervals is equal

Does not have a determined zero point

Distance makes sense, ratios don’t

SOM - Interval

 Calendar year

 2011 ---365 days ---2012 ----365 days ---2013

 Outdoor temperature

Thermometer – degree increments are equal

Is 0 ° as cold as it gets?

100 degrees isn’t twice as hot as 50

 Meaningful size differences and equal distances (unlike ordinal)

 Likert scales…

SOM - Interval

Likert scales

Some believe ordinal

Categorical with order

Others believe interval

Ordered categories have meaningful size differences

 What is the difference between strongly agree, and agree….and is that difference the same as the difference between agree and neutral?

SOM - Interval

Likert scales

Argument for interval

If there is symmetry in the responses

SA/A/N/D/SD

E/G/F/P – not symmetrical, uneven distances between categories

SOM - Ratio

Has a true zero point

Makes ratios possible

Has ordering & distancing properties of interval

Weight

100 lbs. Is twice as heavy as 50 lbs.

Reaction time

Distance traveled: _____

1.

2.

3.

4.

What is your current age?

Under 18

19-22

23-26

27 or older

Scale of measurement? Why?

Would you rephrase the question? Why?

How we ask the question may limit us

To summarize

 Scales of measurement have range from the least precise to the most precise

 Nominal Ordinal Interval Ratio

Why do we care?

 Determines what statistics are possible

 Nominal is most limiting ; yes/no questions

 56% enjoyed the show, 44% did not

 Why change YES/NO questions to Likert?

 Degree of interest/opinions/attitudes

With ordinal, interval, and ratio we can compute averages and measure variability

Developing a Codebook

Before entering data into computer

Instructions on converting data

Details how to define & label each variable

Assign #’s (codes) to responses

List every variable…including the ID #

2. What is your current grad school sequence?

______ Athletic Training

______ Biomechanics

______ Exercise Physiology

______ Physical Education Teacher Education

______ Psychology of Sport & Physical Activity

______ Recreation Administration

______ Sport management

Developing a Codebook

Survey

Quest

#

Variable name

2 Major

Values

1=

Athletic Training

2=Biomechanics

3=EP

4=PETE

5=PSP

6=REC

7=Sport mgt

Scale of measurement

Nominal

Stats

Frequencies,

%, mode

Developing a Codebook

Variable Name

Use something you recognize & link to the question

Sales staff

Gender

 Level of satisfaction or level of agreement is likely not appropriate. SPECIFIC ENOUGH to identify.

Developing a Codebook

Survey

Quest

#

Variable name

2 Major

Values

1=

Athletic Training

2=Biomechanics

3=EP

4=PETE

5=PSP

6=REC

7=Sport mgt

Scale of measurement

Nominal

Stats

Frequencies,

%, mode

Developing a Codebook

Values

1=strongly agree

2=agree

3=disagree

4=strongly disagree

Values

1=yes

2=no

1=male

2=female

Developing a Codebook

2

? # Variable name Values

Learn of grad program

1= ISU website

2=NCAA website

3=Word of mouth

4=Family & friends

5=Other

Scale of measurement

Nominal

Stats

Frequencies,

%, mode

20 Trouble free transition

1=Strongly Agree

2=Agree

3=Neutral

4=Disagree

5=Strongly disagree

Interval Mean, median, mode

Other info….more challenging

 “All that apply” question

 Rank questions

 Open ended questions

If this were the question?

1. How did you hear about this program? (check all that apply)

___Flyer ___Pantagraph

___ Word of mouth ___Brochure

___Radio ___Other (specify):______

1a

1b

1c

1d

1e

1f

1g

Treat each option as a yes or no question (either checked/unchecked) ?

Flyer 1=yes

2=no

Pantagraph 1=yes

2=no

Word of mouth 1=yes

2=no

Brochure 1=yes

2=no

Radio

Other

1=yes

2=no

1=yes

2=no

Other response n/a

Nominal

Nominal

Nominal

Nominal

Nominal

Nominal

Nominal

If this were the question?

3. Rank each of the activities in order of preference (1=favorite, 3=least favorite)

_____Bingo

_____Yahtzee

_____Twister

Question

#

3a

Variable name

Bingo

3b Yahtzee

Values

1=Favorite

2=2 nd favorite

3=least favorite

1=Favorite

2=2 nd favorite

3=least favorite

3c Twister 1=Favorite

2=2 nd favorite

3=least favorite

Scale

Ordinal

Ordinal

Ordinal

Stats

Not to be confused with….

3

Question

#

Variable name

Favorite activity

Values

1=Bingo

2=Yahtzee

3=Twister

Scale

Nominal

Stats

 What is the difference?

If this were the question?

3. Indicate your overall level of enjoyment at this event by circle the number…..

No Enjoyment Enjoyed

Whatsoever 1 2 3 4 5 6 A Great deal

Semantic differentials example

No Enjoyment Enjoyed

Whatsoever 1 2 3 4 5 6 A Great deal

3

Question

#

Variable name

Overall enjoyment

Values Scale

1=None whatsoever

6=Enjoyed a great deal

Interval

Stats

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