This document discusses data collection methods for research. It states that data is essential for making business decisions and can come from records, observations, measurements or interviews. It then describes surveys as a method to gather information through questionnaires administered to a sample of the population. The document outlines different types of surveys, including census surveys which collect all population data and sample surveys which collect a representative sample. It also describes various personal interview techniques used in surveys, such as door-to-door interviews, mall intercepts, and computer-assisted interviews.
This document discusses various methods and tools for collecting data in empirical research. It describes primary and secondary data sources and different types of data collection methods including interviews, questionnaires, observation, and biophysical measurements. Specifically, it provides details on structured, unstructured, and semi-structured interviews. It also explains different types of questions that can be used in questionnaires such as open-ended, closed-ended, rating scales, and Likert scales. Advantages and disadvantages of interviews and questionnaires as data collection methods are highlighted.
This document discusses various methods for collecting primary data, including surveys, interviews, telephone surveys, mail surveys, observation, and experiments. It provides details on each method, such as how surveys involve asking questions of respondents, interviews can be personal or focus groups, telephone surveys are conducted by phone, and mail surveys are done through postal mail. It also discusses challenges with each method like response rates for mail surveys and controlling external factors for experiments.
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
This document discusses various methods for collecting primary and secondary data for research. It explains that primary data is collected fresh for a study, while secondary data comes from existing sources like books, papers, and reports. Some primary data collection methods covered include surveys, experiments, interviews, questionnaires, schedules, case studies, and observation. Factors to consider when choosing a method include the research objectives, budget, timeframe, and the researcher's knowledge. Collecting quality data is essential for answering the research problem.
This document discusses various methods for collecting primary and secondary data. It describes primary data collection methods like observation, interviews (structured and unstructured), questionnaires, and surveys. It also discusses secondary data sources and factors to consider when using secondary data like reliability, suitability, and adequacy. The key methods covered include observation, personal interviews, telephone interviews, questionnaires, and surveys. It provides details on the advantages and disadvantages of each method.
This document discusses various methods and instruments for collecting data in research studies. It begins by defining data and explaining why data collection is important. It then covers primary and secondary sources of data, as well as internal and external sources. The main methods of collecting primary data discussed are direct personal investigation through interviews, indirect oral investigation, case studies, measurements, and observation. Secondary data sources include published and unpublished sources. The document also discusses self-reported data collection methods like surveys, interviews, and questionnaires. Other methods covered include document review, focus groups, and observation. Mixed methods are also briefly discussed.
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
This document discusses methods of data collection for research. It defines data collection as preparing and gathering data to answer a research problem. It notes that before collecting data, the researcher must determine what data to collect, how to collect it, who will collect it, where to collect it, and when to collect it. Common data collection methods include surveys, case studies, interviews, observations, questionnaires, and expert or peer reviews. When choosing a method, the researcher should consider the purpose of the evaluation, respondents, available resources, type of information needed, and potential interruptions.
This document discusses various methods and tools for collecting data in empirical research. It describes primary and secondary data sources and different types of data collection methods including interviews, questionnaires, observation, and biophysical measurements. Specifically, it provides details on structured, unstructured, and semi-structured interviews. It also explains different types of questions that can be used in questionnaires such as open-ended, closed-ended, rating scales, and Likert scales. Advantages and disadvantages of interviews and questionnaires as data collection methods are highlighted.
This document discusses various methods for collecting primary data, including surveys, interviews, telephone surveys, mail surveys, observation, and experiments. It provides details on each method, such as how surveys involve asking questions of respondents, interviews can be personal or focus groups, telephone surveys are conducted by phone, and mail surveys are done through postal mail. It also discusses challenges with each method like response rates for mail surveys and controlling external factors for experiments.
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
This document discusses various methods for collecting primary and secondary data for research. It explains that primary data is collected fresh for a study, while secondary data comes from existing sources like books, papers, and reports. Some primary data collection methods covered include surveys, experiments, interviews, questionnaires, schedules, case studies, and observation. Factors to consider when choosing a method include the research objectives, budget, timeframe, and the researcher's knowledge. Collecting quality data is essential for answering the research problem.
This document discusses various methods for collecting primary and secondary data. It describes primary data collection methods like observation, interviews (structured and unstructured), questionnaires, and surveys. It also discusses secondary data sources and factors to consider when using secondary data like reliability, suitability, and adequacy. The key methods covered include observation, personal interviews, telephone interviews, questionnaires, and surveys. It provides details on the advantages and disadvantages of each method.
This document discusses various methods and instruments for collecting data in research studies. It begins by defining data and explaining why data collection is important. It then covers primary and secondary sources of data, as well as internal and external sources. The main methods of collecting primary data discussed are direct personal investigation through interviews, indirect oral investigation, case studies, measurements, and observation. Secondary data sources include published and unpublished sources. The document also discusses self-reported data collection methods like surveys, interviews, and questionnaires. Other methods covered include document review, focus groups, and observation. Mixed methods are also briefly discussed.
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
This document discusses methods of data collection for research. It defines data collection as preparing and gathering data to answer a research problem. It notes that before collecting data, the researcher must determine what data to collect, how to collect it, who will collect it, where to collect it, and when to collect it. Common data collection methods include surveys, case studies, interviews, observations, questionnaires, and expert or peer reviews. When choosing a method, the researcher should consider the purpose of the evaluation, respondents, available resources, type of information needed, and potential interruptions.
Dear viewers Check Out my other piece of works at___ https://healthkura.com
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Assessment of Qualitative Data, Qualitative & Quantitative Data, Data Processing
Presentation Contents:
- Introduction to data
- Classification of data
- Collection of data
- Methods of data collection
- Assessment of qualitative data
- Processing of data
- Editing
- Coding
- Tabulation
- Graphical representation
If anyone is really interested about research related topics particularly on data collection, this presentation will be the best reference.
For Further Reading
- Biostatistics by Prem P. Panta
- Fundamentals of Research Methodology and Statistics by Yogesh k. Singh
- Research Design by J. W. Creswell
- Internet
data collection primary secondary methodsAlen philip
This document discusses primary data collection methods, including observation, interviews, questionnaires, and schedules. Observation involves directly observing respondents without asking questions. Interviews can be personal face-to-face interviews or telephonic interviews. Questionnaires are sets of standardized questions distributed to respondents, while schedules are used by interviewers to record respondents' answers to questions in person. Each method has advantages like breadth of information collected but also limitations such as potential bias, expense, or inability to capture emotions.
This document discusses various methods for collecting primary and secondary data. It outlines several methods for collecting primary data, including observation, interviews, questionnaires, schedules, warranty cards, audits, consumer panels, and mechanical devices. It also discusses some key advantages and disadvantages of each primary data collection method. Additionally, the document notes that secondary data can come from published sources like government publications, journals, and reports, as well as unpublished sources from individuals and organizations. Researchers must carefully evaluate whether secondary data is suitable for their specific research needs.
This document discusses data collection in quantitative studies. It explains that data are facts that provide information about the phenomenon being studied. There are several steps to collecting data quantitatively: identifying data needs like variables to measure or hypotheses to test; selecting appropriate measurement tools; pretesting instruments; developing data collection forms and procedures; implementing a data collection plan including selecting and training personnel; and addressing issues that may arise during the process like maintaining controls. The goal is to gather information consistently and validly to address the research questions.
The document discusses various methods for collecting primary and secondary data. It describes primary data as being originally collected for the research purpose, while secondary data has already been collected by others. It then provides details on collecting primary data through methods like observation, interviews, questionnaires, and schedules. For secondary data, it notes published and unpublished sources and the need for researchers to carefully evaluate the suitability and reliability of secondary data.
251109 rm-m.r.-data collection methods in quantitative research-an overviewVivek Vasan
The document discusses different methods for collecting quantitative data in research, including structured questionnaires, interviews, observation, and biophysiologic measures. It describes key dimensions to consider like structure, quantifiability, researcher obtrusiveness, and objectivity. The major sections explain self-reports, observation techniques, and collecting biophysiologic data like vital signs measurements.
This document discusses research design and different types of research designs. It defines research design as the conceptual structure and plan for conducting research to answer research questions. The main types of research designs covered are exploratory, descriptive, diagnostic, and experimental. Exploratory design is used when little is known about a topic to discover variables and relationships. Descriptive design aims to describe phenomena by observing behaviors. Diagnostic design involves problem identification and finding causes. Experimental design tests hypotheses by manipulating variables and measuring outcomes. The document provides details on each design type, including their purposes and methodologies.
This document discusses various methods of data collection. It begins by defining key terms like data, types of data, and sources of data. The main methods of data collection discussed are observation, questionnaires, and interviews. Observation can be structured, unstructured, or participatory. Questionnaires contain open-ended, closed-ended, rating, and ranking questions. Interviews are conducted either in-person or over the phone. The document outlines advantages and disadvantages of each method.
Data collection in research involves systematically gathering factual information to test hypotheses or answer research questions. There are two main types of data: primary data collected directly by researchers through methods like surveys and interviews, and secondary data previously collected by others. The document outlines purposes of data collection like research design and sampling, as well as methods for primary data collection including questionnaires, interviews, focus groups, observation, and case studies. Both primary and secondary data have advantages and disadvantages for research.
Descriptive Research Design - Techniques and TypesSundar B N
This ppt includes Introduction to Descriptive Research, Meaning of Descriptive Research Design and Methods used in Descriptive Research, Types of Descriptive Research and DIFFERENCE B/W EXPLORATORY AND CONCLUSIVE RESEARCH.
Subscribe to Vision Academy
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
Data are distinct pieces of information collected for analysis to produce research results. There are two types of data: primary and secondary. Primary data is original data collected directly by the researcher through surveys, observation, or experimentation. Secondary data refers to data originally collected by someone else for another purpose that is now being used for a new study. Common methods for collecting primary data include observation, interviews, questionnaires, and schedules. Secondary data can come from government publications, journals, reports, and unpublished sources.
This document discusses methods of data collection, including sources of primary and secondary data. It provides details on 5 methods for collecting primary data: direct personal investigation through interviews; indirect oral investigation through enumerators; local reporters and questionnaires; mailed questionnaires; and observation. Secondary data collection methods include published sources from international organizations, government publications, commercial research institutions, and unpublished sources. The key difference between primary and secondary data is that primary data is collected directly by the researcher specifically for the research problem, while secondary data was originally collected by others for different purposes.
This document provides information on data, sources of data, purposes of data, data collection methods, questionnaires, and rating scales. It discusses the different types of data, primary and secondary sources of data, and purposes of collecting data such as testing hypotheses and describing samples. Methods of data collection include questionnaires, interviews, and observation. Questionnaires can be open-ended or closed-ended. Rating scales are used to quantify observations and come in formats like graphic, descriptive, and numerical scales. Selection of data collection methods depends on factors like the research subjects and purpose.
It contains all the data collection methods like interview method,observation method, questionnaire method, schedule method and other methods of data collection.
methods of data collection
,
types/sources of data
,
interview method
,
collection of primary data
,
observation method
,
collection of data through questionnaires
,
collection of secondary data
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.
This document discusses three common data collection methods: observation, interview, and questionnaire. Observation involves personally watching and interacting with research subjects and can be participatory or non-participatory. Interviews are verbal conversations with research participants that can be structured, unstructured, or semi-structured. Questionnaires are paper surveys containing a list of questions for respondents to answer in writing.
This document discusses research methodology and design. It provides details on different types of research design including exploratory, descriptive, and experimental. It also discusses key aspects of research design such as determining the study topic, objectives, sample design, data collection techniques, and data analysis plan. Additionally, it covers different data collection methods like personal interviews, telephone interviews, questionnaires, and observation. It highlights the importance of research design in facilitating research operations and reducing costs. The document also distinguishes between sampling errors and non-sampling errors that can occur in research.
Summer training reports s atya pppppppppppppppppppSatya Prakash
The document discusses opportunities and threats for a company that serves over 1 billion people in more than 200 countries. Some key opportunities mentioned are expanding offerings in countries like India where the company only has 11 of over 400 products. Threats include government policies, strong competitors like PepsiCo, and reliance on distributors. The objective of the author's thesis is to study promotional schemes by Coca-Cola India and compare their merits and limitations. Research methods to be used include interviews, questionnaires, and data analysis tools like ANOVA, t-tests, bar charts and pie charts. Limitations discussed are the time-bound nature of the report and issues collecting complete questionnaire data.
Dear viewers Check Out my other piece of works at___ https://healthkura.com
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Assessment of Qualitative Data, Qualitative & Quantitative Data, Data Processing
Presentation Contents:
- Introduction to data
- Classification of data
- Collection of data
- Methods of data collection
- Assessment of qualitative data
- Processing of data
- Editing
- Coding
- Tabulation
- Graphical representation
If anyone is really interested about research related topics particularly on data collection, this presentation will be the best reference.
For Further Reading
- Biostatistics by Prem P. Panta
- Fundamentals of Research Methodology and Statistics by Yogesh k. Singh
- Research Design by J. W. Creswell
- Internet
data collection primary secondary methodsAlen philip
This document discusses primary data collection methods, including observation, interviews, questionnaires, and schedules. Observation involves directly observing respondents without asking questions. Interviews can be personal face-to-face interviews or telephonic interviews. Questionnaires are sets of standardized questions distributed to respondents, while schedules are used by interviewers to record respondents' answers to questions in person. Each method has advantages like breadth of information collected but also limitations such as potential bias, expense, or inability to capture emotions.
This document discusses various methods for collecting primary and secondary data. It outlines several methods for collecting primary data, including observation, interviews, questionnaires, schedules, warranty cards, audits, consumer panels, and mechanical devices. It also discusses some key advantages and disadvantages of each primary data collection method. Additionally, the document notes that secondary data can come from published sources like government publications, journals, and reports, as well as unpublished sources from individuals and organizations. Researchers must carefully evaluate whether secondary data is suitable for their specific research needs.
This document discusses data collection in quantitative studies. It explains that data are facts that provide information about the phenomenon being studied. There are several steps to collecting data quantitatively: identifying data needs like variables to measure or hypotheses to test; selecting appropriate measurement tools; pretesting instruments; developing data collection forms and procedures; implementing a data collection plan including selecting and training personnel; and addressing issues that may arise during the process like maintaining controls. The goal is to gather information consistently and validly to address the research questions.
The document discusses various methods for collecting primary and secondary data. It describes primary data as being originally collected for the research purpose, while secondary data has already been collected by others. It then provides details on collecting primary data through methods like observation, interviews, questionnaires, and schedules. For secondary data, it notes published and unpublished sources and the need for researchers to carefully evaluate the suitability and reliability of secondary data.
251109 rm-m.r.-data collection methods in quantitative research-an overviewVivek Vasan
The document discusses different methods for collecting quantitative data in research, including structured questionnaires, interviews, observation, and biophysiologic measures. It describes key dimensions to consider like structure, quantifiability, researcher obtrusiveness, and objectivity. The major sections explain self-reports, observation techniques, and collecting biophysiologic data like vital signs measurements.
This document discusses research design and different types of research designs. It defines research design as the conceptual structure and plan for conducting research to answer research questions. The main types of research designs covered are exploratory, descriptive, diagnostic, and experimental. Exploratory design is used when little is known about a topic to discover variables and relationships. Descriptive design aims to describe phenomena by observing behaviors. Diagnostic design involves problem identification and finding causes. Experimental design tests hypotheses by manipulating variables and measuring outcomes. The document provides details on each design type, including their purposes and methodologies.
This document discusses various methods of data collection. It begins by defining key terms like data, types of data, and sources of data. The main methods of data collection discussed are observation, questionnaires, and interviews. Observation can be structured, unstructured, or participatory. Questionnaires contain open-ended, closed-ended, rating, and ranking questions. Interviews are conducted either in-person or over the phone. The document outlines advantages and disadvantages of each method.
Data collection in research involves systematically gathering factual information to test hypotheses or answer research questions. There are two main types of data: primary data collected directly by researchers through methods like surveys and interviews, and secondary data previously collected by others. The document outlines purposes of data collection like research design and sampling, as well as methods for primary data collection including questionnaires, interviews, focus groups, observation, and case studies. Both primary and secondary data have advantages and disadvantages for research.
Descriptive Research Design - Techniques and TypesSundar B N
This ppt includes Introduction to Descriptive Research, Meaning of Descriptive Research Design and Methods used in Descriptive Research, Types of Descriptive Research and DIFFERENCE B/W EXPLORATORY AND CONCLUSIVE RESEARCH.
Subscribe to Vision Academy
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
Data are distinct pieces of information collected for analysis to produce research results. There are two types of data: primary and secondary. Primary data is original data collected directly by the researcher through surveys, observation, or experimentation. Secondary data refers to data originally collected by someone else for another purpose that is now being used for a new study. Common methods for collecting primary data include observation, interviews, questionnaires, and schedules. Secondary data can come from government publications, journals, reports, and unpublished sources.
This document discusses methods of data collection, including sources of primary and secondary data. It provides details on 5 methods for collecting primary data: direct personal investigation through interviews; indirect oral investigation through enumerators; local reporters and questionnaires; mailed questionnaires; and observation. Secondary data collection methods include published sources from international organizations, government publications, commercial research institutions, and unpublished sources. The key difference between primary and secondary data is that primary data is collected directly by the researcher specifically for the research problem, while secondary data was originally collected by others for different purposes.
This document provides information on data, sources of data, purposes of data, data collection methods, questionnaires, and rating scales. It discusses the different types of data, primary and secondary sources of data, and purposes of collecting data such as testing hypotheses and describing samples. Methods of data collection include questionnaires, interviews, and observation. Questionnaires can be open-ended or closed-ended. Rating scales are used to quantify observations and come in formats like graphic, descriptive, and numerical scales. Selection of data collection methods depends on factors like the research subjects and purpose.
It contains all the data collection methods like interview method,observation method, questionnaire method, schedule method and other methods of data collection.
methods of data collection
,
types/sources of data
,
interview method
,
collection of primary data
,
observation method
,
collection of data through questionnaires
,
collection of secondary data
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.
This document discusses three common data collection methods: observation, interview, and questionnaire. Observation involves personally watching and interacting with research subjects and can be participatory or non-participatory. Interviews are verbal conversations with research participants that can be structured, unstructured, or semi-structured. Questionnaires are paper surveys containing a list of questions for respondents to answer in writing.
This document discusses research methodology and design. It provides details on different types of research design including exploratory, descriptive, and experimental. It also discusses key aspects of research design such as determining the study topic, objectives, sample design, data collection techniques, and data analysis plan. Additionally, it covers different data collection methods like personal interviews, telephone interviews, questionnaires, and observation. It highlights the importance of research design in facilitating research operations and reducing costs. The document also distinguishes between sampling errors and non-sampling errors that can occur in research.
Summer training reports s atya pppppppppppppppppppSatya Prakash
The document discusses opportunities and threats for a company that serves over 1 billion people in more than 200 countries. Some key opportunities mentioned are expanding offerings in countries like India where the company only has 11 of over 400 products. Threats include government policies, strong competitors like PepsiCo, and reliance on distributors. The objective of the author's thesis is to study promotional schemes by Coca-Cola India and compare their merits and limitations. Research methods to be used include interviews, questionnaires, and data analysis tools like ANOVA, t-tests, bar charts and pie charts. Limitations discussed are the time-bound nature of the report and issues collecting complete questionnaire data.
Primary methods for collecting data include surveys, observation, interviews, and logs. Some common primary data collection methods are observation, interviews, and questionnaires. Observation allows for objective data collection but provides limited information. Interviews can obtain in-depth information but are more expensive and time-consuming. Questionnaires have low costs but require educated, cooperative respondents. Researchers must carefully construct questionnaires considering aspects like question format, sequence, and wording. Other methods include warranty cards, store audits, consumer panels, mechanical devices, projective techniques, depth interviews, and content analysis.
The document provides information on analysis of variance (ANOVA) including its assumptions and examples of its use. ANOVA is a technique used to compare the means of two or more samples using the F distribution. It can only be used for numerical data. The key assumptions are that the error terms are independent and normally distributed with equal variances. Variances and means of samples must also be independent. Examples provided include comparing cholesterol contents of different diet foods using ANOVA to test if sample mean differences are due to chance.
MCJ 5532, Research Methods in Criminal Justice Administra.docxAASTHA76
MCJ 5532, Research Methods in Criminal Justice Administration 1
Course Learning Outcomes for Unit III
Upon completion of this unit, students should be able to:
2. Evaluate the key concepts associated with multiple methods of collecting, analyzing, interpreting, and
reporting defensible research results.
2.1 Evaluate the relationship between key findings of existing scholarly research in the field of
criminal justice and a proposed study on a related criminal justice topic.
5. Outline the major steps in empirical research in criminal justice.
8. Analyze the phases involved with writing a criminal justice research report.
Reading Assignment
Chapter 5: Survey Research: Questionnaires
Chapter 6: Survey Research: Interviews and Telephone Surveys
Unit Lesson
As we learned in previous units, there are multiple ways to collect the data. One of the most popular methods
of collecting data is survey research. This widely used technique allows the researcher to collect a variety of
information from study participants, regardless of whether the identity of the participants is known.
Questionnaires, interviews, and telephone surveys are three primary forms of survey research.
Questionnaires
There are many ways to develop a questionnaire. However, there are some rules and guidelines that exist to
help a researcher develop questionnaires that will properly collect the data that he or she needs to address
the research questions. Most of the guidelines focus on the wording and construction of questionnaires. When
developing a questionnaire, one should be aware of the question types. Wording configurations that should
be avoided include biased or leading questions, double-barreled questions, questions asked objectively,
assumptions regarding the respondent’s knowledge regarding issues, vague wording, collecting excessive
information, and “response set” (Hagan, 2014).
The organization of the questionnaire is also important. Questionnaires should normally begin with questions
that focus on the study topic and how they sit with demographic type questions such as age, race/ethnicity,
income, and occupation. For example, if you were interested in looking at the relationship in the number of
children involved in community policing activities, then make sure the survey begins with questions that ask
specifically about their level of involvement in the community and/or the extent of their interaction with police
in the community. Then, end a survey by asking them questions about their family such as how many people
are in their household, how many of those people are children, and what are the ages of the children in the
household?
The manner in which the questionnaire is administered is also important. Questionnaires can be given directly
to the participant, mailed to the participant, and electronically provided to the participant (e.g., link or QSR
code). Mail surveys are a very popular method of.
This document discusses various tools and techniques that can be used for auditing, including surveys, questionnaires, interviews, focus groups, and direct observation. Surveys are useful for collecting background data, behavioral data, attitudes, opinions, and knowledge, but have limitations such as imposing the researcher's structure and not capturing deeper information. Questionnaires guide interviews and distribute questions, while focus groups allow collection of more information from groups of 5-10 people. Interviews can establish trust but are expensive. Direct observation techniques include participant observation, field observation, trace data, and archival data. Overall, the document provides an overview of common qualitative and quantitative audit data collection methods.
pratik meshram Unit 2 contemporary marketing research full notes pune univers...Pratik Meshram
Unit 2 covers data collection methods including questionnaires and scaling. Questionnaires are a common method to collect primary data through written or verbal questions. Well-designed questionnaires are developed in stages, with consideration for question content, order, and format. Questions must be carefully tested before widespread use. Observation is another primary data collection method that involves recording behaviors and activities. Well-designed observation forms clearly define what will be observed regarding who, what, when, where, and why. Both questionnaires and observation forms require pretesting to ensure ethical design.
This document provides guidance on designing effective questionnaires for research purposes. It discusses important considerations for questionnaire design such as determining goals, minimizing length, using clear language, and pre-testing questions. It also outlines key steps in the research process like developing instruments, selecting samples, analyzing data, and preparing reports. Overall, the document emphasizes designing questionnaires to be short, clear, and focused on the research goals in order to obtain high-quality, useful information through high response rates.
The document defines research and describes various methods for collecting primary data. It discusses:
1) Research is defined as creating new knowledge through new and creative use of existing information. It includes synthesis and analysis of previous research.
2) Primary data collection methods include quantitative methods like surveys, observations, and experiments as well as qualitative methods like focus groups, in-depth interviews, and projective techniques.
3) Both primary and secondary sources are used to gather data, with primary data collected directly for the research and secondary data having been previously collected.
Các phương pháp nghiên cứu thị trường - Market research methodsInfoQ - GMO Research
Primary data is data collected directly from firsthand sources through surveys, observation or experimentation. It provides accurate information specific to the research problem but can be costly and time-consuming to collect. Secondary data already exists and is cheaper and easier to obtain but the researcher has less control over what is collected. Qualitative research uses unstructured methods like focus groups and in-depth interviews to provide insights while quantitative research quantifies data using structured methods like telephone, online, and mail surveys. Both have advantages and disadvantages depending on the research needs.
The document discusses various methods and approaches for conducting market research. It describes primary research methods like questionnaires, focus groups, interviews, and observation that involve directly collecting data from customers. It also covers secondary research which uses previously collected data from sources like government publications and the internet. Both qualitative and quantitative research approaches are explained. The document provides details on sampling methods for selecting representative groups of people for market research surveys.
The document discusses various aspects of survey research techniques, including defining a survey, different types of surveys, and popular survey methods. It covers how surveys can be categorized based on instrumentation (questionnaires vs interviews) and time span (cross-sectional vs longitudinal). Common survey techniques are described such as mail surveys, self-administered surveys, telephone interviews, and web-based surveys. The importance, design considerations, and applications of survey research are also summarized.
survey method.ppt community medicine psmDr Ramniwas
The document discusses survey methods and how to conduct surveys, including determining objectives, selecting a methodology, constructing questionnaires or schedules, sampling techniques, data collection and analysis. Surveys are used to collect information on topics such as health conditions, program planning and evaluation, and making comparisons. The document outlines the various steps involved in conducting a survey from start to finish.
Survey research involves administering standardized questionnaires to a sample of respondents to collect data on a population. There are various types of surveys including written, oral, and electronic. Key steps in survey research include designing the survey, conducting the survey using probability or nonprobability sampling methods, analyzing the survey results using statistical techniques, and reporting the findings. Surveys are a relatively inexpensive way to collect data from large populations but require an initial study design and high response rates to be effective.
The document discusses key aspects of data collection and analysis for monitoring and evaluation projects. It covers topics such as qualities of good data, data collection methods including questionnaires, sampling methods, and data analysis techniques. Specifically, it emphasizes that collecting adequate, timely and relevant data is essential for evaluation and that questionnaires must be designed carefully to obtain accurate information and address all relevant variables. It also highlights the importance of representative sampling to make reliable estimates about target populations.
Surveys can measure population characteristics, behaviors, attitudes, and needs through self-reported or observed data collection methods. Common methods include mobile surveys, online surveys, telephone surveys, mail surveys, and face-to-face surveys. Each method has advantages and disadvantages related to costs, response rates, and potential biases. Proper planning, sampling, questionnaire design, data collection, and analysis are needed to minimize errors and biases.
The document discusses methods of collecting primary data for research. It describes personal interviews and telephone interviews as two common methods. For personal interviews, it notes their structured and unstructured forms, and outlines advantages like obtaining more in-depth information, as well as limitations such as higher costs. For telephone interviews, it provides a brief overview of their merits and demerits. The document also discusses questionnaires as a method, and important aspects to consider in designing questionnaires.
Data Analysis week 8 presentation - Survey and Quantitative Observation Techn...Ellie Hendrick
Our final power point presentation on survey and quantitative observation techniques. For week 8 Data Analysis Lecture. By Ellie, Lizzie, Ed, Stephen and Jessica
The document summarizes the HR policy of Leads Media Pvt. Ltd., a full-service advertising agency located in Nepal. It discusses the company's mission, organizational hierarchy, services offered, recruitment process, selection process, performance appraisal methods, leave policies, benefits, termination process, compensation, and grievance policies. It also outlines policies regarding health and safety, workplace violence, drug and alcohol use, harassment, and trainings. The overall purpose is to establish guidelines around human resource management and employee welfare.
This document discusses the process of testing hypotheses. It begins by defining hypothesis testing as a way to make decisions about population characteristics based on sample data, which involves some risk of error. The key steps are outlined as:
1) Formulating the null and alternative hypotheses, with the null hypothesis stating no difference or relationship.
2) Computing a test statistic based on the sample data and selecting a significance level, usually 5%.
3) Comparing the test statistic to critical values to either reject or fail to reject the null hypothesis.
Examples are provided to demonstrate hypothesis testing for a single mean, comparing two means, and testing a claim about population characteristics using sample data and statistics.
The document discusses sampling distributions and standard errors. It provides:
1) An explanation of sampling distributions as the set of values a statistic can take when calculated from all possible samples of a given size.
2) Formulas for calculating the mean and variance of sampling distributions.
3) A definition of standard error as the standard deviation of a sampling distribution.
4) Common standard errors formulas for statistics like the sample mean, proportion, and difference between means.
5) An example problem demonstrating calculation of the mean and standard error of a sampling distribution of sample means.
The document provides guidelines for designing effective questionnaires. It discusses the three phases of questionnaire design: pre-construction, construction, and post-construction. In the construction phase, guidelines are given for question format, wording, and structure. Questions should be clear, avoid bias, and not tax respondents' memory or ability to recall details. Both open-ended and closed-ended questions each have advantages, and the type of question should match the research objective and survey method used. Careful attention to these design principles can help ensure high-quality responses.
This document discusses primary and secondary data sources. Primary data is originally collected by a researcher specifically for their study, through methods like interviews or surveys. Secondary data has already been collected by someone else for another purpose and includes sources like published books, government reports, media sources, and internal company records. When using secondary data, researchers must evaluate if the data is relevant to their research objectives, accurate, and collected through reliable methods. They should also consider if the data could have errors from the original study. Secondary data sources in Nepal include government organizations, research agencies, universities, and trade organizations.
The document discusses factors to consider when selecting an appropriate measurement scale for research. There are four main types of measurement scales: nominal, ordinal, interval, and ratio. Nominal scales classify objects into categories, ordinal scales rank objects, interval scales measure equal intervals between rankings, and ratio scales allow for mathematical operations. When choosing a scale, researchers must consider the research objective, type of data to be collected, whether to use single or multiple items, forced vs non-forced choices, and balanced vs unbalanced scales. The appropriate scale depends on the goals and circumstances of the specific research being conducted.
This document provides an overview of different types of research designs, including descriptive research, developmental research, case study research, causal-comparative research, and true experimental research. Descriptive research involves collecting and presenting factual information to describe existing phenomena without explaining relationships. Developmental research assesses changes in development programs over time using longitudinal or cross-sectional studies. Case study research provides an intensive examination of a single unit or case. Causal-comparative research investigates possible causes for a situation by observing evidence and relationships between variables. True experimental research uses control groups and pre-/post-testing to measure the impact of interventions.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Data collection method
1.
2. Introduction
Data are the foundation of any research, based upon the
evaluation of data all business decision are made.
Data are the facts or numbers that can be collected through
records, observations, measurements and interviews.
Availability of right data/information is very important for
making right decision.
The task of data collection begins once the research problem
and the research design/plan have been ascertained.
While collecting the data/information, we might be collecting
both facts and opinions.
For example, suppose we want to study about a company, we
need the information like (i) background information (ii)
policies and structural aspects (iii) perceptions, attitudes and
behavioral response of the staff members of the company.
3. Background information, policies, rules and structural aspects
of the company can be obtained from the available records and
documents.
Similarly, assets, loan, bad-debt, interest rates etc. can also be
obtained from the company’s records.
Hence most of these data are in the form of facts (including
quantitative data).
But, the perceptions or attitude towards the company in
relation to working environment of the employee’s can be
obtained by talking with them or through administering
questionnaire, which are in the form of opinion.
4. What is Survey?
Survey is a method of gathering information from the
respondents for any pre-determined research objective.
In most of the scientific research, information is obtained
from the representative sample of the population by
administering the questionnaire to the respondents.
The information may include the demographic and socio-
economic characteristics, and also it may pertains the
attitudinal aspects, intentions, and awareness of the
respondents participating in survey.
Survey may also covers overall assessment of a respondent
about any object and his/her favorableness or un-
favorableness opinion about it.
5. Survey has become common in today’s world. Survey is of
two types viz. (i) Census Survey and (ii) Sample Survey
Census Survey:
The total count of all units of the population for a certain
characteristic is termed as census survey i.e. it is a
complete enumeration.
This type of survey or inquiry involves a great deal of time,
money and manpower.
As it involves lot of resources, it is very difficult to conduct,
particularly when the inquiry is large in scale.
Truly speaking, this method is practically beyond the reach
of ordinary researchers. Even the government adopts this
method in very rare cases e.g. population census
conducted once in a decade, agricultural census and
manufacturing establishment etc.
6. Sample Survey:
When only a part of the population is selected and enumerated,
then it is called sample enumeration or sample survey.
It is possible to obtain sufficiently accurate results by studying
only a part of total population and as such there is no utility of
census survey.
A sample survey will usually be less expensive than a census
survey and the desired information will be obtained in less time.
This does not imply that economy is the consideration in
conducting a sample survey. It is most important that a degree of
accuracy of results is also maintained.
Occasionally, the technique of sample survey is applied to verify
the results obtained from a census survey.
It has been well established fact that in many situations a well
conducted sample survey can provide much more precise results
than from census survey.
7. The relative advantage of sample surveys over census
surveys are:
It reduces cost, manpower and time of survey.
It enables to get results with greater speed.
It provides greater accuracy of results.
Classification of Survey Method
On the basis of the mode of administration, there are
several method of survey method viz. personal interview,
telephone interview etc.
1. Personal Interview
Personal interview is a face to face interpersonal conversation.
8. In this method, the interviewer contacts personally and asks
the respondent seeking answers pertinent to the research
problem.
Personal interviews can be classified into six categories:
door-to-door interview, mall intercept interview, office
interview, self administered questionnaire, omnibus survey,
and computer assisted interviews.
(a) Door-to-door interview:
This is the technique of gathering information from the
respondents at their home in person and seeks a face to
face interview.
This method is ideal as it allows the respondents to
provide answers in a comfortable home environment.
9. But in some circumstances, the respondents might not
participate, as they might be busy at their work place
and their require much time.
(b) Mall Intercept Interviews:
In this interview technique, a respondent who actually is
a visitor to a shopping mall is intercepted by the
interviewer for obtaining responses.
The interviewer stationed at the entrance of the
shopping mall invite the respondents to participate in
a structured interview.
The major advantage of this technique is cost-efficient.
A researcher can also use efficiently a big respondent
pool available at different mall location.
10. This technique is very easy to execute. But the major
disadvantages of the technique is getting very low responses
from the respondents. Because they come to the mall for
shopping and not for answering the questions.
(c) Office Interviews
In this technique, an interviewer visit the organization and
conducts an interview at the work place of the respondents.
This type of interview is conducted when the research
objective is to obtain the consumer attitude of any
industrial product or service.
Probably this technique will be able to generate accurate
responses than home interview technique for such kind of
objective.
11. Office interviews are usually conducted after taking prior
appointment from the interviewer.
In an organization, various categories of employees can
provide a variety of information. A researcher can focus on
these different categories of employees to generate the
responses in accordance to the specific research objective.
(d) Self Administered Questionnaire
In this method, no interviewer is involved. A series of
questions are presented to the respondents without the
intervention of the interviewer.
Self administered questionnaire are generally used in hotels. It
consists of series of questions to the respondents to ask about
their services.
12. In the absence of interviewer makes this interview
technique bias free from the view point of the research.
On the other hand, personal clarification to some of the
questions by the interviewer is completely missing. So
answer to some of the misunderstood questions might be
affected.
(e) Omnibus Surveys
Omnibus survey is that type of survey which is conducted
in a regular schedule with personal interviews where a
series of questions are provided by the survey-conducting
company.
The schedule may be weekly, fortnightly, monthly,
quarterly, six monthly, yearly, or any other specific time
interval decided by the survey-conducting company.
13. The questionnaire consists of series of questions on some diverse
research topics particularly in marketing research, the set of
question might be provided by different clients.
As a form of continuous marketing research, such surveys are
conducted at regular intervals and covers a range of topics. There
are several advantages of this survey technique over other
techniques of survey, because it is cost effective as it is shared by
the clients.
Second advantage of omnibus surveys is that the procedure of
conducting the survey-conducting company facilitates to collect
a variety of data based on the need of the researcher.
For example, the need of data for before and after study can be
easily fulfilled through omnibus survey technique as
respondents can be easily tracked. However, there might be
respondent’s unwillingness to answer because of monotony and
boredom.
14. (f) Computer-Assisted Personal Interviewing(CAPI) Technique
CAPI technique has become increasingly popular for
collecting the data for large scaled household survey.
This is a type of personal interview technique where the inputs
are directly administered using laptop rather than using paper
questionnaire.
In this method, interviewer carry laptop from which questions
are read out and responses of the questions are entered directly,
which is then transmitted to centre via modem.
This technique reduces the time for data collection as well as
time for coding and analysis.
This method is considered to be one of the most influential
developments in survey now a day.
15. 2. Telephone Interview
Easy access to telephone facility have changed the survey
techniques in the field of business research.
This method is suitable when there are only few questions, but
large number of respondents over a wide geographical area and
time available for interview is very short.
In this method, the interviewer ask the series of questions
to the respondent and record the responses on the paper.
16. Evaluation Criteria for Survey Method
As there are various types of surveys, a researcher often
faces a dilemma as to which method of survey should be
adopted.
It become important for the researcher to evaluate all the
survey methods on the basis of pre-established objective
and some pre-established criteria.
An evaluation of the survey methods can be done on the
basis of cost, time, speed of data collection, coverage area,
quantity of data, control over fieldwork etc.
Some other Qualitative Survey Methods:
Despite the various methods of collecting the
data/information, there are some other supplementary
qualitative methods, which are as follows:
17. For example, to know the preference of the customers’,
instead of asking consumers about what brand they buy or
what television program they view, the researcher can
simply observe what product are bought and what programs
are watched.
Very few of the “one-shut” research projects done in
marketing are of this type.
Classification of Observation Methods
Observation method can broadly be classified into five
categories as given below:
i. Personal Observation:
In this method, an observer actually watches the event (or
subject) behavior and makes a record of it as it happens
in front of him.
18. This type of observation is extremely useful when the
subjects are small or one-shut project. However, the
perception of the observer might be deviated by his
knowledge.
Anyway, personal observation is a practical and useful
technique to collect data/information, specifically in cases
where other means of data collection are seemingly not
advantageous.
ii. Mechanical Observation
This involves the observation of behavior of the events (or
respondents) through a mechanical device. The device may
be a video camera, a voice recorder, eye-movement
recorder, and other such devices.
19. Now a days, there are many mechanical devices available to
record the behavior of the subjects.
This method is specially important when a researcher has
to make continuous observation or when a researcher feels
that the human observation will not solve the research
purpose.
For example, a camera can record the actions of a
respondent better than any human being.
In addition, the camera has a capacity of observing
behavior of the subjects for long time as compared with the
human observer.
In some cases, human observation is not possible.
20. For example, when a researcher, in particular will like
to measure the emotional reaction of an individual,
the human observation is neither feasible nor
practical. In such case, an instrument commonly
known as eye-movement recorder is used.
This instrument has the capacity of measuring eye
movement at a rate of 30 readings per second with
respect to any stimuli.
iii. Audits
Audit involves examination of particular records or
inventory analysis of the items under investigation.
21. In audit analysis, the researchers personally collect the
data and usually make the count of the items under
investigation.
This technique is usually performed by an auditor
personally without using mechanical device.
Now a days some mechanical devices are also used to
make an audit.
For example, modern libraries use bar-coded books
and a laser gun to count the number of books in the
library.
22. iv. Content Analysis
This is a kind of technique used to objectively and
systematically make inferences about the intentions,
attitudes, and values of individuals by identifying
specified characteristics in textual messages.
It examines the contents of textual messages
systematically as an indirect observation and analysis.
Business researchers generally examine the content of
message in print advertisement and electronic
advertisement, content analysis for the print articles, and
so on.
v. Physical Trace Analysis
Physical trace analysis involves collection of data through
physical trace of the subjects in terms of understanding
their past behavior.
23. For example, a researcher can count the number of
soft drinks consumed in an annual function of a
college to understand the inclination of youth for a
particular brand.
Physical trace analysis is an indirect method of
observing the behavior with the outcome of a
behavior.
In some cases, physical trace analysis is very useful.
For example, the popularity of a website can be
analyzed by counting the number of times the users
have visited the site.
24. Observation Method:
Observation method is the process of recognizing and noting people,
objects and occurrences rather than asking for information.
This method provides a reliable and valid account of what happened.
The observation method can be considered to be an indispensable
primary source method, which may be used as a supplement to other
methods.
Observation also involves listening, reading, smelling and touching,
which can provide an insights into behavioral characteristic and
related issues.
For example, knowing the preference of the customers’, instead of
asking consumers about what brand they buy or what television
program they view, the researcher can observe what product are
bought and what programs are watched.
25. This method is least expensive for collecting behavioral data.
Very few of the “one-shut” research projects done in marketing
are of this type- perhaps no more than 1% of the marketing
research are performing such type of research.
However, the advantage of this method put researchers into
first hand contact with ‘reality).
Gathering data by using other means is time consuming and
expensive.
In studies with limited fund and time, in which there might be
possible to observe only small portion of the sampling units
(individuals or goods) and just by observing the researcher may
draw the conclusion
26. Advantages of Observation Techniques
The most advantage of the observation methods is the collection of
data on the basis of only observing rather than using other expensive
surveys or by using a measurement scale.
Observation also eliminates recall error as it is immediately recorded
at the place of observation.
Observations also allow an observer to collect data from the group of
subjects who are not able to provide written or verbal information.
Observation method is least expensive and put researchers into first
hand contact with ‘reality’.
In case of limited fund and time, observation method might be very
useful, particularly for for tiny behavioral and marketing researches.
27. Limitations of Observation Techniques
The major limitation of the observation is its inability to
measure attitude or intentions of the subjects
Another limitation of the observation method is subjective
i.e. a same observation may have different observations by
different observers.
In some cases, personal monitoring by the researcher is
required. Observers often feel fatigue from this long
continuous observation, and this results in a biased result
28. Focus Group Discussion:
Focus group interviews or exploratory group sessions are a
qualitative research technique frequently utilized in social science
and business research.
A focus group meeting is a discussion in which a small group of
informants comprising of six to twelve people are together at one
place to discuss the topic of interest.
The discussion will be guided by a facilitator or moderator, talk
freely and spontaneously in the topic considered important to the
investigation.
The participants are chosen from a target group whose opinions and
ideas are of interest to the research.
Usually more than one group session is needed to assure good
coverage. Sessions can be conducted with various sub-groups within
the target population.
The focus group meeting is usually tape recorded, although an
observer (recorder) also takes notes on the discussion.
29. An open conversation takes place in which each participant has
the opportunity to speak, ask questions of the other
participants, and respond to the comments of others, including
the facilitator.
Interaction among the participants is stimulated by the
discussion of various themes relevant to the research.
The facilitator (or moderator) guides the sessions so that all
subjects of interest are covered.
He/she attempts to let the group carry out the conversation by
itself, intervening only to introduce topics of importance that
may not come up spontaneously; to move on when it was
exhausted; or to bring the discussion back to the area of interest
when it has wandered into irrelevant areas.
30. Participatory Method: This is a technique of collecting the
information through discussion with the group of people, from
whom the necessary information is to be obtained.
In this method, the researcher acts as a member of the group.
This method is a field base activity which carries out interactive
and exploratory studies with concern people.
The aim of this method is to observe the group, learn from the
group and attempt to understand their activities, experience and
expertise.
For example, in agricultural extension program, most often this
method is adopted. The researcher learns from the concerned
people with a attitude of respect for their knowledge, experience.
He/she should have a willingness to regard them as equal partner
in the process of economic and sociological development.
The attitude of behaving equally should be maintained to all
people such as young, old, women and also the poor and
unprivileged, wealthy and influential.
31. In participatory method, we the outsider must sit at
the same level as the concerned group of people and
show the normal courtesy and respect, thus
reinforcing the participatory nature of the
relationship.
In course of discussion, usually all the people of the
group sit together in one place and as a participatory
tool, some sort of diagram will be drawn on the ground
or in a big piece of paper and all can take part in the
discussion.