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TIME RANK FACTOR (TRF) FOR SURVEY - A NEW WAY TO EVALUATE THE QUALITY OF SURVEY RESULTS

IP.com Disclosure Number: IPCOM000236040D
Publication Date: 2014-Apr-03
Document File: 6 page(s) / 163K

Publishing Venue

The IP.com Prior Art Database

Abstract

Evaluating the quality of survey results has always been a hot topic in survey research field. Except to make sure the results obtained from surveys are accurately represents the audience meant to hear from, there also need multiple ways to evaluate the quality of survey results. Most of the evaluation methodologies are usually based on statistics results and there’s no good way to evaluate the quality of each single survey record. To resolve this problem, we introduce a new factor – Time Rank Factor (TRF) – to evaluate the quality of single survey record. Our invention provides a way to weight each single survey record and the result could then be aggregated to evaluate the quality of the whole survey.

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TIME RANK FACTOR

TIME RANK FACTOR

(((TRF TRF

TRF)

)) FOR SURVEY FOR SURVEY

FOR SURVEY

--- A NEW WAY TO EVALUATE THE QUALITY OF SURVEY RESULTS A NEW WAY TO EVALUATE THE QUALITY OF SURVEY RESULTS

Evaluating the quality of survey results has always been a hot topic in survey research field. Except to make sure the results obtained from surveys are accurately represents the audience meant to hear from, there also need multiple ways to evaluate the quality of survey results. Most of the evaluation methodologies are usually based on statistics results and there's no good way to evaluate the quality of each single survey record.

To resolve this problem, we introduce a new factor - Time Rank Factor Time Rank Factor

(((TRF TRF

TRF)

)- to evaluate the quality of single survey

record.

Our invention provides a way to weight each single survey record and the result could then be aggregated to evaluate the quality of the whole survey.

1. The invention characterizes the time data of each single question. This provides survey researcher a way to weight each single question by time data.

2. The invention makes it able to eliminate pseudo data from survey results as much as possible by aggregating the weight of each record.


3. The invention makes it possible to compare the quality of different survey records.

The proposed solution is to introduce time rank factor into survey analytical process. The factor records the answering time of each question and calculating the weight of the record by comparing each question's answering time with the expected answering time and then aggregate out the final rank of each record.

The factor consists of …

1) Standard Answering Time, which stands for the expected answering time estimated for each question. It provides the basis for answering time weighting process.

1


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2) Minimum and Maximum Answering Time, which stands for the fastest and slowest answering time estimated for each question. It guards the boundary of normal answering time and pseudo answering time.

Weighting Process, which calculates the weight of the record by comparing each question's answering with Standard Answering Time and then aggregate out the final rank.

Definitions

Definitions: :

For each survey question, we could define 3 different answering times according to experience and statistical analysis results:


1) Standard Answering Time (

((TTstd)stands for the ideal answering time estimated for the question.


2) Maximum Answering Time

Maximum Answering Time
(((TTmax)stands for the maximum answering time estimated for the question.


3) Minimum Answering Time

Minimum Answering Time
(((TTmin)stands for the minimum answering time estimated for the question.

Q

4

1

2

1
5 8 1

0

5 4 5 6 5 1

2

1


2 7 8 1

8

Questions

Q

1 Q

2 Q

3 Q

5 Q

6 Q

7

Maximum Answering Time 2 0 2 0 3 0 1

2 3 0 2 5

Standard Answering Time 1

0

Minimum Answering Time

1

2 2 0 1 8

1 0

Table

Table

11

Table 1 shows an example of the Tstd, Tmin and Tmaxtime defined for each of...