Secondary Source of Data Collection - Published & Unpublished
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This ppt covers Secondary Source of Data Collection - Published & Unpublished which covers Types of Secondary Source of Data Published Sources Unpublished Sources Advantages of Secondary Data Limitations of Secondary Data Precautions to be taken before using Secondary Data Key Differences between Primary and Secondary Data
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Secondary data
Research methodology - Secondary data: characteristics, importance, sources, advantages and disadvantages
Editing, coding and tabulation of data
Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
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PRIMARY & SECONDARY DATA COLLECTION
This document discusses primary and secondary data collection. It defines primary data as original data collected specifically for the current study, such as through surveys, experiments, or observations. Secondary data is data previously collected by someone else for another purpose, such as published reports or census data. Both primary and secondary data have advantages and disadvantages for research. Primary data allows targeted questions but is more expensive and time-consuming to collect, while secondary data is easier to obtain but may not be specific to the current study. Qualitative and quantitative research methods are discussed for primary data collection.
Type of Reports
There are many different types of reports used across various fields. Technical reports provide detailed methods, assumptions, findings and supporting data. They are used when a full written report is required for record keeping or public dissemination. Popular reports emphasize simplicity, attractiveness, and policy implications over technical details. They use charts, diagrams and clear writing. Oral presentations can supplement written reports and allow for discussion, but lack a permanent record. Technical and popular reports vary in their structure, level of technical detail, and intended audience.
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Primary & Secondary Data
This document discusses primary and secondary data sources. It defines primary data as original data collected directly for the research project, while secondary data is data collected previously for another purpose. The document outlines advantages and disadvantages of both primary and secondary data. Primary data is more accurate but costly and time-consuming to collect, while secondary data is quicker and cheaper to obtain but may not be suitable or accurate for the research purpose. The document also categorizes different types of secondary data sources such as internal company data, published materials, computer databases, and syndicated services that collect standardized data from consumers or institutions.
Data Preparation and Processing
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Secondary data
Research methodology - Secondary data: characteristics, importance, sources, advantages and disadvantages
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Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
The editing , coding , tabulation of data is been explained in this ppt.
PRIMARY & SECONDARY DATA COLLECTION
This document discusses primary and secondary data collection. It defines primary data as original data collected specifically for the current study, such as through surveys, experiments, or observations. Secondary data is data previously collected by someone else for another purpose, such as published reports or census data. Both primary and secondary data have advantages and disadvantages for research. Primary data allows targeted questions but is more expensive and time-consuming to collect, while secondary data is easier to obtain but may not be specific to the current study. Qualitative and quantitative research methods are discussed for primary data collection.
Type of Reports
There are many different types of reports used across various fields. Technical reports provide detailed methods, assumptions, findings and supporting data. They are used when a full written report is required for record keeping or public dissemination. Popular reports emphasize simplicity, attractiveness, and policy implications over technical details. They use charts, diagrams and clear writing. Oral presentations can supplement written reports and allow for discussion, but lack a permanent record. Technical and popular reports vary in their structure, level of technical detail, and intended audience.
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This document discusses primary and secondary data sources. It defines primary data as original data collected directly for the research project, while secondary data is data collected previously for another purpose. The document outlines advantages and disadvantages of both primary and secondary data. Primary data is more accurate but costly and time-consuming to collect, while secondary data is quicker and cheaper to obtain but may not be suitable or accurate for the research purpose. The document also categorizes different types of secondary data sources such as internal company data, published materials, computer databases, and syndicated services that collect standardized data from consumers or institutions.
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Validate data
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Keypunch the data
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The term processing refers to the searching for patterns of relationship that exist among data-groups.
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The document outlines the key criteria for good research including:
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The document outlines the key criteria for good research including:
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It also describes the key qualities of good research as being systematic, following a specified sequence of steps; logical, guided by rules of reasoning; and empirical, dealing with concrete data to allow external validation of results.
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This document outlines the contents and structure of a research report. It discusses that a research report is a detailed account of a disciplined study conducted to solve problems or reveal new knowledge. The key sections of a research report include an introduction stating the purpose and significance of the study, a literature review, methodology, data interpretation, conclusions and suggestions, bibliography, and appendices. Characteristics of a good report are that it is attractive, has a clear topic, uses balanced language, avoids repetition, and describes difficulties and shortcomings. The methodology section explains how primary and secondary data was collected and analyzed.
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This document discusses different types of research including:
- Descriptive vs analytical research, with descriptive focusing on describing current states and analytical focusing on explaining causes and relationships.
- Applied vs fundamental research, with applied aiming to solve practical problems and fundamental focusing on building general theories.
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Subscribe to Vision Academy
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
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This document provides an overview of key concepts related to research design. It discusses the meaning and importance of research design, as well as classifications including exploratory, descriptive, diagnostic, and hypothesis-testing research designs. Important concepts covered include dependent and independent variables, extraneous variables, control, research hypotheses, experimental and control groups, and treatments. Experimental designs such as completely randomized, randomized block, Latin square, and factorial designs are also introduced. The document provides a framework for understanding different types of research design and their applications.
research process
The document outlines the key steps in the research process:
1) Establish the need for research and define the problem.
2) Conduct an extensive literature review to understand previous work.
3) Formulate clear research objectives and questions.
4) Determine an appropriate research design including data collection methods.
5) Collect, analyze, and interpret the data to draw conclusions and answer the research questions.
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This document outlines the steps for formulating a research problem:
1. Select a broad research area from literature and personal experience.
2. Review literature and theories to understand what has been done and how the research could expand knowledge or test theories.
3. Delimit the topic to a more specific research problem.
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This document discusses various types of errors that can occur in sampling techniques, including sampling errors and non-sampling errors. It defines sampling errors as errors that arise from using a sample rather than the entire population. Non-sampling errors occur due to issues in data collection, processing, and analysis. Some key points made are that sampling error decreases with larger sample sizes, while non-sampling error does not necessarily decrease, and that important surveys conducted in Bangladesh include demographic, health, and nutrition surveys.
Classification of data
This document discusses different types of data classification. It defines classification as systematically grouping data based on common characteristics. There are several ways to classify data, including by the nature of the variable (e.g. quantitative, qualitative), source of collection (e.g. primary, secondary), presentation (e.g. grouped, ungrouped), and content (e.g. simple, manifold). Examples are provided for each type of classification.
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Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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