Overview of Data Processing in Research
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DATA PROCESSING
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ADMINISTRATION
OF
QUESTIONNAIRE
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One of the important stages of the
research process is data processing and
analysis.
Once data are collected the researcher
turns his focus of attention on its
processing.
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A good researcher makes a perfect
plan of data processing and
analysis.
To some researchers data
processing and analysis is not a
very serious activity.
They feel that data processing is a
job of computer assistants
.
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As a consequence, they have to be
contended with the results given by
computer assistants which may not
help them to achieve their
objectives.
To avoid such situations, it is
essential that data processing must
be planned in advance and
instructed to computer assistants
accordingly.
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Data processing refers to :
Editing,
Coding,
Recoding
Computing of the scores,
Preparation of master charts.
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Contingency
Responses
:
Marital Status
:
Married/
Unmarried
Number of Children
:
One/Two/
Not Applicable
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Coding of data involves assigning of number to each
response of the question.
Example :
Gender :
Male = 1
Female = 2
The purpose of giving number is to translate
verbal data into numerical data, which may be
counted and tabulated.
The task of researcher is to give numbers to
response carefully
.
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After a codebook is
prepared, the data can be
transferred either to a
master chart or directly to
computer through a
statistical package
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Going through master chart to
computer is much more advantageous
than entering data directly to
computers.
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Entering data directly to computer
is disadvantageous, as there is no
way to check wrong entries, which
will show inconsistencies in
tabulated data at the later stages
of tabulation.
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The research process involves various stages, including data processing, data preparation, and questionnaire administration. Data processing is vital for analyzing and interpreting research findings effectively. It encompasses tasks like editing, coding, and computing scores to prepare master charts. Efficient data processing is crucial for accurate results in research projects.
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Presentation Transcript
ADMINISTRATION OF QUESTIONNAIRE 3
DATA PROCESSING One of the important stages of the research process is data processing and analysis. Once data are collected the researcher turns his focus of attention on its processing. 4
DATA PROCESSING . A good researcher makes a perfect plan of data processing and analysis. To some researchers data processing and analysis is not a very serious activity. They feel that data processing is a job of computer assistants. 5
DATA PROCESSING . As a consequence, they have to be contended with the results given by computer assistants which may not help them to achieve their objectives. To avoid such situations, it is essential that data processing must be planned in advance and instructed to computer assistants accordingly. 6
DATA PROCESSING . Data processing refers to : Editing, Coding, Recoding Computing of the scores, Preparation of master charts. 7
Editing of Data Missing entries Illegible entries Discrepancies 8
Editing of .. Contingency Responses : Marital Status : Married/Unmarried Number of Children : One/Two/Not Applicable 9
Coding Coding of data involves assigning of number to each response of the question. Example : Gender : Male = 1 Female = 2 The purpose of giving number is to translate verbal data into numerical data, which may be counted and tabulated. The task of researcher is to give numbers to response carefully. 10
CODE BOOK Variable No. Information Sought Responses Code Q.No 2 V1 Age Actual Worker Supervisor Manager Public Private Graduate Intermediate High School Middle School Primary Illiterate Other Married Unmarried Widow Divorce Agree Undecided Disagree - 1 2 3 1 2 1 2 3 4 5 6 7 1 2 3 4 1 3 V2 Designation 4 V3 Establishment 5 V4 Level of Education 6 V5 Marital Status Attitude of Employer Preference employees 43 V42 for male 2 3 11
Preparing a Master Chart After a codebook is prepared, the data can be transferred either to a master chart or directly to computer through a statistical package 12
Master Chart Going through master chart to computer is much more advantageous than entering data directly to computers. 13
Master Chart Entering data directly to computer is disadvantageous, as there is no way to check wrong entries, which will show inconsistencies in tabulated data at the later stages of tabulation. 14
MASTER CHART VARIABLE LABELS LEV EL OF EDU CAT ION NA TU RE OF WO RK DUR ATI ON OF WO RK ATTIT UDE OF EMPL OYER DES IGN ATI ON ESTA BLIS HME NT MARI TAL STAT US PR OM OTI ONS A G E WA GES RESPONDENT NUMBER VARIABLE NUMBER V 2 V1 V3 V4 V5 V6 V7 V8 V9 V10 1 23 3 4 2 2 3 14 1220 3 4 2 28 2 3 4 1 5 5 1547 3 3 3 23 4 4 4 2 1 4 1922 1 3 4 28 1 3 3 1 2 5 1847 2 5 5 23 3 4 2 2 1 7 2922 1 1 15
