Question
Examine the significance of data processing and analysis in the research.
Section
Answer :
Word Count : 657
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डेटा प्रसंस्करण (Data Processing) और डेटा विश्लेषण (Data Analysis) अनुसंधान प्रक्रिया के अत्यंत महत्वपूर्ण चरण हैं। किसी भी शोध में केवल डेटा का संग्रहण पर्याप्त नहीं होता, बल्कि उसे व्यवस्थित, शुद्ध, वर्गीकृत तथा वैज्ञानिक ढंग से विश्लेषित करना आवश्यक होता है। यदि एकत्रित डेटा का उचित प्रसंस्करण और विश्लेषण न किया जाए, तो शोध के निष्कर्ष विश्वसनीय, वैध और उपयोगी नहीं हो सकते। इसलिए अनुसंधान की गुणवत्ता, प्रामाणिकता तथा निष्कर्षों की सार्थकता काफी हद तक डेटा प्रसंस्करण एवं विश्लेषण पर निर्भर करती है। डेटा प्रसंस्करण का तात्पर्य एकत्रित आँकड़ों को इस प्रकार व्यवस्थित करने से है कि वे विश्लेषण के लिए उपयुक्त बन जाएँ। इसमें डेटा का संपादन (Editing), कोडिंग (Coding), वर्गीकरण (Classification), सारणीकरण (Tabulation), डेटा प्रविष्टि (Data Entry) तथा त्रुटियों का सुधार शामिल होता है। संपादन के माध्यम से अपूर्ण, असंगत अथवा त्रुटिपूर्ण उत्तरों की पहचान कर उन्हें सुधारा जाता है। कोडिंग के द्वारा गुणात्मक उत्तरों को संख्यात्मक रूप दिया जाता है जिससे उनका सांख्यिकीय विश्लेषण संभव हो सके। वर्गीकरण समान विशेषताओं वाले
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