Questionnaire /Schedule design is a systematic approach/process of including relevant questions in a questionnaire in such a way that the best or accurate responses are obtained from respondent with very little / no discomfort on the part of the respondent as well as the enumerator.The most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the target group. Questionnaire / Schedules design is one of the most critical stages in the survey research process and therefore has to be given the utmost attention. This power point presentation will guide you through schedules and questionnaire design.
Measurement & scaling ,Research methodologySONA SEBASTIAN
Measurement involves associating numbers or symbols to observations in a research study. There are different types of measurement scales including nominal, ordinal, interval, and ratio scales.
Nominal scales simply assign numbers or symbols to label elements without quantitative significance. Ordinal scales rank objects from largest to smallest but do not indicate the magnitude of differences. Interval scales assume equal units between numbers but lack a true zero point. Ratio scales have a true zero value and allow comparisons of differences between numbers through arithmetic operations.
Proper selection of measurement scales and techniques such as paired comparisons, ranking, rating, semantic differentials, and stapel scales depends on the characteristics and data type needed for the research.
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...sanjay s.kumar
The document discusses the key differences between questionnaires and schedules as data collection instruments. It notes that schedules are administered through personal interviews by enumerators, making the process more expensive but allowing respondents to be identified and ensuring complete responses. Questionnaires are generally self-administered, making the process cheaper but resulting in higher non-response rates and incomplete information. The document also provides guidelines for developing valid and reliable questionnaires and schedules, including question structure, sequence, pre-testing and measuring various types of validity and reliability.
This document discusses various sampling designs and their characteristics. It describes probability sampling designs like simple random sampling which gives every unit an equal chance of selection. It also describes non-probability sampling designs like purposive sampling which involves deliberately choosing units. Specific probability designs discussed include systematic sampling, stratified sampling, cluster sampling, area sampling, and multi-stage sampling.
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
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 Collection tools: Questionnaire vs ScheduleAmit Uraon
Questionnaires and schedules are commonly used methods for collecting primary data. Questionnaires involve sending a standardized set of questions to respondents to answer on their own and return. Schedules are similar but involve an enumerator personally collecting responses by asking questions directly and filling out the schedule. Both methods can be used for descriptive or explanatory research and involve designing valid and reliable questions, representative sampling, and defining relationships between variables. Questionnaires are cheaper but have higher non-response rates while schedules provide more complete information through personal contact but are more expensive due to field workers.
Measurement & scaling ,Research methodologySONA SEBASTIAN
Measurement involves associating numbers or symbols to observations in a research study. There are different types of measurement scales including nominal, ordinal, interval, and ratio scales.
Nominal scales simply assign numbers or symbols to label elements without quantitative significance. Ordinal scales rank objects from largest to smallest but do not indicate the magnitude of differences. Interval scales assume equal units between numbers but lack a true zero point. Ratio scales have a true zero value and allow comparisons of differences between numbers through arithmetic operations.
Proper selection of measurement scales and techniques such as paired comparisons, ranking, rating, semantic differentials, and stapel scales depends on the characteristics and data type needed for the research.
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...sanjay s.kumar
The document discusses the key differences between questionnaires and schedules as data collection instruments. It notes that schedules are administered through personal interviews by enumerators, making the process more expensive but allowing respondents to be identified and ensuring complete responses. Questionnaires are generally self-administered, making the process cheaper but resulting in higher non-response rates and incomplete information. The document also provides guidelines for developing valid and reliable questionnaires and schedules, including question structure, sequence, pre-testing and measuring various types of validity and reliability.
This document discusses various sampling designs and their characteristics. It describes probability sampling designs like simple random sampling which gives every unit an equal chance of selection. It also describes non-probability sampling designs like purposive sampling which involves deliberately choosing units. Specific probability designs discussed include systematic sampling, stratified sampling, cluster sampling, area sampling, and multi-stage sampling.
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
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 Collection tools: Questionnaire vs ScheduleAmit Uraon
Questionnaires and schedules are commonly used methods for collecting primary data. Questionnaires involve sending a standardized set of questions to respondents to answer on their own and return. Schedules are similar but involve an enumerator personally collecting responses by asking questions directly and filling out the schedule. Both methods can be used for descriptive or explanatory research and involve designing valid and reliable questions, representative sampling, and defining relationships between variables. Questionnaires are cheaper but have higher non-response rates while schedules provide more complete information through personal contact but are more expensive due to field workers.
This document discusses census and sampling methods for collecting population data. A census collects data from all members of the population, while sampling collects data from only a subset. Sampling is faster, cheaper, and more adaptable than a census but less accurate. Probability sampling methods like simple random and stratified random sampling allow accurate error estimation, while non-probability methods do not. Both methods have advantages and disadvantages related to accuracy, costs, and error estimation. The document also defines sampling error and non-sampling error and their sources.
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.
4. Evaluate the problem for significance, researchability, and feasibility considering factors like time, cost, and ethics.
5. Formulate a final statement of the research problem that is clear, concise, and measurable.
This document discusses primary and secondary data. It defines primary data as data collected directly by the researcher through methods like observation, interviews, questionnaires, and surveys. Secondary data is data that has already been published through sources like books, journals, websites, and government records. The document outlines the merits and limitations of both primary and secondary data. It emphasizes the importance of evaluating secondary data for availability, relevance, accuracy, and sufficiency before using it in research.
Research design and types of research design final pptPrahlada G
This document discusses research design. It defines research design as the conceptual framework for a research study that includes plans for data collection, measurement, and analysis. The main components of a research design are outlined, including the problem statement, literature review, objectives, methodology, and data analysis plan. Four common types of research designs are explored in more detail: exploratory, descriptive, experimental, and quasi-experimental. Key principles of experimental design like replication, randomization, and local control are also summarized.
Characteristics of a Good Sample
Representativeness
Absence of sampling error
Economically viable
Generalized and applicable
Goal oriented
Proportional
Randomly Selected
Actual information provider
Practical
The document outlines the major and minor objectives of research. The major objectives are to gain new insights into phenomena, accurately portray characteristics of individuals or groups, determine the frequency of occurrences, discover truths and facts, and test hypotheses of relationships between variables. The minor objectives are to seek knowledge, find solutions to problems through systematic methods, gain research degrees and benefits, face challenges, and be of service to society.
The document discusses the differences between census surveys and sample surveys. Census surveys collect information from the entire population, while sample surveys collect information from a representative sample of the population. Census surveys are more accurate but are also more time-consuming and costly compared to sample surveys, which can be completed more quickly and at lower cost, but have some margin of error since only a sample is studied rather than the entire population.
Business Research - Meaning, Definition, Characteristics and FeaturesSundar B N
In this ppt a hints are given on Business Research - Meaning, Definition, Characteristics and Features.
Subscribe to Vision Academy YouTube Channel
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
The document provides an overview of a presentation on types of research given by Manoj Patel. It defines research and lists its main objectives as extending knowledge, revealing hidden facts, generalizing laws, and verifying existing theories and facts. The presentation then describes several common types of research, including descriptive and analytical research, applied and fundamental research, quantitative and qualitative research, conceptual and empirical research, and others. It provides examples to illustrate the differences between each type.
Primary data is collected directly by the researcher through methods like observation, interviews, questionnaires, and schedules. Observation can be structured, unstructured, participant, non-participant, controlled, or uncontrolled. Interviews can be personal, telephone-based, structured, unstructured, focused, clinical, or non-directive. Questionnaires are effective when respondents are educated and cooperative but have a low response rate. Schedules require enumerators to ask respondents questions from a form and record their answers.
This document discusses research methodology and sampling techniques. It defines key terms like population, sample, census, and probability and non-probability sampling. It describes different sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and their advantages and disadvantages. Finally, it discusses issues around internet sampling and methods like using web site visitors, panels, and opt-in lists.
Anybody, who is reading the research report, must necessarily be conveyed enough about the study so that he can place it in its general scientific context, judge the adequacy of its methods and thus form an opinion of how seriously the findings are to be taken. For this purpose there is the need of proper layout of the report. The layout of the report means as to what the research report should contain. A comprehensive layout of the research report should comprise preliminary pages, the main text and the end matter.
This document discusses the design and construction of questionnaires. It defines a questionnaire as a set of written questions related to a research topic that, when answered by respondents, provides data to complete a research project. The document outlines advantages such as ease of construction and distribution, as well as disadvantages like inability to use with illiterates and potential for wrong or missing information. It provides steps for constructing a questionnaire including pretesting and revising it. The document also discusses types of questions, characteristics of good research instruments, and guidelines for formulating effective questionnaire items.
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.
1. Measurement involves assigning numbers to objects or observations based on established rules. There are different scales of measurement that determine what statistical analyses can be used.
2. The scales of measurement from least to most powerful are nominal, ordinal, interval, and ratio scales. Nominal scales simply categorize data while ratio scales have a true zero point and allow comparisons of ratios.
3. Each scale of measurement is associated with different statistical analyses that can appropriately be used. For example, only nominal data allows the use of the mode as a measure of central tendency while more powerful scales like interval and ratio allow the use of more sophisticated tests.
The document discusses various aspects of research design including:
1. Research design involves decisions about what, where, when, how much, and by what means to study a research problem.
2. Key parts of research design include sampling design, observational design, statistical design, and operational design.
3. Experimental designs aim to establish cause-and-effect relationships through control and manipulation of variables while quasi-experimental and non-experimental designs do not involve manipulation.
The document discusses research design and provides details on different types of research designs. It begins by defining research design and outlines the key decisions that must be made, including what, where, when, how much, and how data will be collected and analyzed. It then discusses different types of research designs for exploratory, descriptive, diagnostic, and hypothesis-testing studies. Specific methods for qualitative and quantitative research designs are also outlined.
The document discusses different aspects of research design including what research design is, its key components, and types of research design. It defines research design as the arrangement of conditions for collecting and analyzing data to combine relevance to the research purpose with efficient procedures. The main components of research design discussed are sampling design, observational design, statistical design, and operational design. It also outlines features of a good research design and key concepts like dependent and independent variables, extraneous variables, control, and research hypotheses. Finally, it discusses research design for exploratory, descriptive, diagnostic, and hypothesis-testing research studies.
Research, Types and objectives of research Bindu Kshtriya
This presentation is regarding the basics of research method, about the voyage of research, steps included in research, types of research including descriptive, analytical, applied, fundamental, quantitative, qualitative conceptual, empirical historical conclusion oriented etc
The document provides an introduction to business research. It defines business research as the systematic and objective process of generating information to aid business decisions [1-2]. The scope of business research helps decision-makers investigate problems objectively across different functional areas like finance, operations and marketing using similar research methods [1-3]. Research is classified based on its purpose, intended use, time dimension, and techniques [1-4]. Basic research expands knowledge while applied research solves real problems [1-5, 1-6, 1-7]. Research techniques include quantitative and qualitative methods [1-9]. Business research supports the managerial decision process and evaluation [1-11, 1-12]. Determining when
Explanatory research - Research Methodology - Manu Melwin Joymanumelwin
This document discusses explanatory research and provides examples. Explanatory research aims to explain why events occur and test theories. It allows testing of specific theories and amendments to previous theories. One example tests a theory about reducing campus crime by limiting library access. Another analyzes the correlation between a region's migrant population share and support for anti-immigration initiatives in a Swiss referendum to see if attitudes towards migration relate to exposure to migrants. The research questions examine relationships between variables to help explain phenomena.
The document discusses the key hallmarks of scientific research including:
1) Purposiveness - Research is undertaken with a clear purpose and objective to identify problems or areas of inquiry.
2) Rigor - A theoretical base and sound methodology add rigor and exactitude to research.
3) Testability - Research designs formulate hypotheses, collect data, and analyze it to achieve study objectives and make findings testable and replicable.
4) Generalizability - The results of fundamental research should be applicable and acceptable to a wide range of organizations.
This document discusses census and sampling methods for collecting population data. A census collects data from all members of the population, while sampling collects data from only a subset. Sampling is faster, cheaper, and more adaptable than a census but less accurate. Probability sampling methods like simple random and stratified random sampling allow accurate error estimation, while non-probability methods do not. Both methods have advantages and disadvantages related to accuracy, costs, and error estimation. The document also defines sampling error and non-sampling error and their sources.
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.
4. Evaluate the problem for significance, researchability, and feasibility considering factors like time, cost, and ethics.
5. Formulate a final statement of the research problem that is clear, concise, and measurable.
This document discusses primary and secondary data. It defines primary data as data collected directly by the researcher through methods like observation, interviews, questionnaires, and surveys. Secondary data is data that has already been published through sources like books, journals, websites, and government records. The document outlines the merits and limitations of both primary and secondary data. It emphasizes the importance of evaluating secondary data for availability, relevance, accuracy, and sufficiency before using it in research.
Research design and types of research design final pptPrahlada G
This document discusses research design. It defines research design as the conceptual framework for a research study that includes plans for data collection, measurement, and analysis. The main components of a research design are outlined, including the problem statement, literature review, objectives, methodology, and data analysis plan. Four common types of research designs are explored in more detail: exploratory, descriptive, experimental, and quasi-experimental. Key principles of experimental design like replication, randomization, and local control are also summarized.
Characteristics of a Good Sample
Representativeness
Absence of sampling error
Economically viable
Generalized and applicable
Goal oriented
Proportional
Randomly Selected
Actual information provider
Practical
The document outlines the major and minor objectives of research. The major objectives are to gain new insights into phenomena, accurately portray characteristics of individuals or groups, determine the frequency of occurrences, discover truths and facts, and test hypotheses of relationships between variables. The minor objectives are to seek knowledge, find solutions to problems through systematic methods, gain research degrees and benefits, face challenges, and be of service to society.
The document discusses the differences between census surveys and sample surveys. Census surveys collect information from the entire population, while sample surveys collect information from a representative sample of the population. Census surveys are more accurate but are also more time-consuming and costly compared to sample surveys, which can be completed more quickly and at lower cost, but have some margin of error since only a sample is studied rather than the entire population.
Business Research - Meaning, Definition, Characteristics and FeaturesSundar B N
In this ppt a hints are given on Business Research - Meaning, Definition, Characteristics and Features.
Subscribe to Vision Academy YouTube Channel
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
The document provides an overview of a presentation on types of research given by Manoj Patel. It defines research and lists its main objectives as extending knowledge, revealing hidden facts, generalizing laws, and verifying existing theories and facts. The presentation then describes several common types of research, including descriptive and analytical research, applied and fundamental research, quantitative and qualitative research, conceptual and empirical research, and others. It provides examples to illustrate the differences between each type.
Primary data is collected directly by the researcher through methods like observation, interviews, questionnaires, and schedules. Observation can be structured, unstructured, participant, non-participant, controlled, or uncontrolled. Interviews can be personal, telephone-based, structured, unstructured, focused, clinical, or non-directive. Questionnaires are effective when respondents are educated and cooperative but have a low response rate. Schedules require enumerators to ask respondents questions from a form and record their answers.
This document discusses research methodology and sampling techniques. It defines key terms like population, sample, census, and probability and non-probability sampling. It describes different sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and their advantages and disadvantages. Finally, it discusses issues around internet sampling and methods like using web site visitors, panels, and opt-in lists.
Anybody, who is reading the research report, must necessarily be conveyed enough about the study so that he can place it in its general scientific context, judge the adequacy of its methods and thus form an opinion of how seriously the findings are to be taken. For this purpose there is the need of proper layout of the report. The layout of the report means as to what the research report should contain. A comprehensive layout of the research report should comprise preliminary pages, the main text and the end matter.
This document discusses the design and construction of questionnaires. It defines a questionnaire as a set of written questions related to a research topic that, when answered by respondents, provides data to complete a research project. The document outlines advantages such as ease of construction and distribution, as well as disadvantages like inability to use with illiterates and potential for wrong or missing information. It provides steps for constructing a questionnaire including pretesting and revising it. The document also discusses types of questions, characteristics of good research instruments, and guidelines for formulating effective questionnaire items.
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.
1. Measurement involves assigning numbers to objects or observations based on established rules. There are different scales of measurement that determine what statistical analyses can be used.
2. The scales of measurement from least to most powerful are nominal, ordinal, interval, and ratio scales. Nominal scales simply categorize data while ratio scales have a true zero point and allow comparisons of ratios.
3. Each scale of measurement is associated with different statistical analyses that can appropriately be used. For example, only nominal data allows the use of the mode as a measure of central tendency while more powerful scales like interval and ratio allow the use of more sophisticated tests.
The document discusses various aspects of research design including:
1. Research design involves decisions about what, where, when, how much, and by what means to study a research problem.
2. Key parts of research design include sampling design, observational design, statistical design, and operational design.
3. Experimental designs aim to establish cause-and-effect relationships through control and manipulation of variables while quasi-experimental and non-experimental designs do not involve manipulation.
The document discusses research design and provides details on different types of research designs. It begins by defining research design and outlines the key decisions that must be made, including what, where, when, how much, and how data will be collected and analyzed. It then discusses different types of research designs for exploratory, descriptive, diagnostic, and hypothesis-testing studies. Specific methods for qualitative and quantitative research designs are also outlined.
The document discusses different aspects of research design including what research design is, its key components, and types of research design. It defines research design as the arrangement of conditions for collecting and analyzing data to combine relevance to the research purpose with efficient procedures. The main components of research design discussed are sampling design, observational design, statistical design, and operational design. It also outlines features of a good research design and key concepts like dependent and independent variables, extraneous variables, control, and research hypotheses. Finally, it discusses research design for exploratory, descriptive, diagnostic, and hypothesis-testing research studies.
Research, Types and objectives of research Bindu Kshtriya
This presentation is regarding the basics of research method, about the voyage of research, steps included in research, types of research including descriptive, analytical, applied, fundamental, quantitative, qualitative conceptual, empirical historical conclusion oriented etc
The document provides an introduction to business research. It defines business research as the systematic and objective process of generating information to aid business decisions [1-2]. The scope of business research helps decision-makers investigate problems objectively across different functional areas like finance, operations and marketing using similar research methods [1-3]. Research is classified based on its purpose, intended use, time dimension, and techniques [1-4]. Basic research expands knowledge while applied research solves real problems [1-5, 1-6, 1-7]. Research techniques include quantitative and qualitative methods [1-9]. Business research supports the managerial decision process and evaluation [1-11, 1-12]. Determining when
Explanatory research - Research Methodology - Manu Melwin Joymanumelwin
This document discusses explanatory research and provides examples. Explanatory research aims to explain why events occur and test theories. It allows testing of specific theories and amendments to previous theories. One example tests a theory about reducing campus crime by limiting library access. Another analyzes the correlation between a region's migrant population share and support for anti-immigration initiatives in a Swiss referendum to see if attitudes towards migration relate to exposure to migrants. The research questions examine relationships between variables to help explain phenomena.
The document discusses the key hallmarks of scientific research including:
1) Purposiveness - Research is undertaken with a clear purpose and objective to identify problems or areas of inquiry.
2) Rigor - A theoretical base and sound methodology add rigor and exactitude to research.
3) Testability - Research designs formulate hypotheses, collect data, and analyze it to achieve study objectives and make findings testable and replicable.
4) Generalizability - The results of fundamental research should be applicable and acceptable to a wide range of organizations.
Presentation on the characteristic of scientific research 1Junesh Acharya
The document discusses scientific research. It defines research as the systematic analysis and recording of controlled observations that can lead to generalizations and theories. Scientific research has several key characteristics: it pursues truth through logical consideration, is objective and replicable, reliable and valid, rigorous, and testable/generalizable. The research process involves realizing a problem, formulating a hypothesis, designing a study, collecting and analyzing data, and generalizing findings. Overall, scientific research uses scientific methods and tools to systematically study and explain variables in an objective, replicable manner.
This document discusses different types of descriptive research studies including normative surveys, educational surveys, and psychological research studies. It provides examples of each type of descriptive study including the purpose, procedures, and key findings. A normative survey examines typical conditions and practices to establish norms. An educational survey looks at factors related to the teaching and learning process. A psychological research study compares behaviors and reactions in different situations. Descriptive research aims to describe current conditions and phenomena without manipulating variables.
The document is a questionnaire given to students to understand factors affecting mathematics performance. It asks students to rate themselves on interest in math, study habits, and extracurricular activities. It also asks students to rate their math teachers on personality traits, teaching skills, and use of instructional materials. The questionnaire uses a 5-point scale and collects both qualitative and quantitative data from students.
This document outlines the key concepts and components of research. It defines research as the systematic study of trends or events through careful data collection, analysis, and interpretation. Some key points discussed include:
- The characteristics of good research, which include being empirical, logical, analytical, critical, and methodical.
- The qualities of a good researcher, such as being resourceful, creative, honest, and religious.
- The values of research to humanity, such as improving quality of life, instruction, and satisfying needs through new discoveries and applications.
- The different types of research like basic, applied, and developmental research.
- How research classifications include library, field, and laboratory research.
This document contains a 14 question questionnaire about drug use among teenagers in a community. It asks about the respondent's demographics, family situation, drug use, availability and types of drugs used in the community, reasons for drug use, effects of drug abuse, and recommendations to address the problem. Respondents are asked to select answers or fill in blanks. The goal is to gather information on drug use and abuse among teenagers to understand its causes and impacts, and ways to potentially address the issue.
This document discusses primary and secondary data collection techniques. Primary data is originally collected for the specific research purpose, through surveys, interviews, or observations. It is more reliable but costly and time-consuming to collect. Secondary data is previously collected data that is reused for another purpose, sourced from publications, websites, or databases. It is cheaper and faster to obtain but less targeted to the research questions. Both data types have advantages and disadvantages for research.
The document contains samples of questionnaires to assess different aspects of branding: brand perception, brand preference, brand image, and brand loyalty. The questionnaires include multiple choice and open-ended questions about the respondent's attitudes toward brands, factors influencing purchase decisions, assessment of a particular brand's image and performance, and areas for potential improvement.
This survey document contains 25 questions regarding online shopping habits and preferences among students and teachers at St. Thomas College Pala. It collects demographic information and asks respondents about their online shopping frequency, purchase types, payment methods, and factors influencing their decisions. Respondents are also asked to rank popular online shopping sites and important site features.
This document discusses scientific research and its application to business decision making. It defines research as a systematic, objective process for investigating problems and finding solutions. The purpose of business research is to provide information to guide well-informed business decisions. Scientific research focuses on analyzing situational factors through logical, step-by-step methods to solve problems and make accurate predictions. It gives several examples of how scientific research principles like rigor, testability, and objectivity can help managers effectively investigate issues and make confident decisions.
This document discusses various methods of data collection in research. It describes 7 common methods: questionnaires, checklists, interviews, observation, records, experimental approaches, and survey approaches. For each method, it outlines the key aspects, such as how it is administered or structured, as well as advantages and disadvantages. It also discusses important considerations for developing research instruments and measuring variables in studies. The overall purpose is to provide guidance on selecting appropriate data collection techniques based on the research problem and design.
The document discusses methodology sections in research papers. It provides examples of methodology sections and discusses what they should include. It lists things like when and where the research was conducted, the data collection procedures, criteria for including subjects, a description of surveys used to collect data, and how results will be presented. It also includes multiple links to methodology sections from published research papers that could be used as examples.
There are various methods for collecting primary and secondary data. Primary data collection methods include observation, interviews, questionnaires, and schedules. Secondary data refers to previously collected data that is analyzed and available for use in other studies. Factors to consider when selecting a data collection method include the nature, scope, and objective of the research, available funds and time, and required precision.
This document provides guidance on writing an effective problem statement for a research proposal. It defines a research problem as a situation that needs a solution where possible solutions exist. An effective problem statement clearly describes the issue to be addressed in one sentence, with additional paragraphs elaborating on the problem's importance and context. It should identify the variables of interest and relationship between variables to be studied. The problem statement establishes the foundation for the rest of the proposal by framing the scope and focus of the research. It is important to demonstrate that the problem is worth studying by considering factors like its current relevance, future implications, practical applications, and theoretical significance. The problem statement helps motivate the need for the study and generates the research questions to be answered.
The document discusses various types of research including applied research, basic research, correlational research, descriptive research, ethnographic research, experimental research, and exploratory research. Applied research seeks practical solutions to problems, while basic research expands knowledge without a direct application. Correlational research examines relationships between variables without determining cause and effect. Descriptive research provides accurate portrayals of characteristics, and ethnographic research involves in-depth study of cultures. Experimental research establishes cause-and-effect through controlled manipulation of variables.
This document discusses the design and use of questionnaires for research purposes. It explains that a questionnaire is a set of standardized questions used to collect statistical information from a specific demographic to achieve research objectives. Proper questionnaire design ensures the data is comparable across respondents, while improper design can lead to incomplete or inaccurate data collection. The document outlines different types of questionnaire structures and questions, provides guidance on questionnaire construction and testing, and discusses methods to improve response rates. Key advantages of the questionnaire method include low cost, large sample coverage, and ability to collect repetitive information over time or large areas.
The document provides information on questionnaires and interviews as methods for collecting data in social research. It discusses the meaning, objectives, types, advantages, and disadvantages of questionnaires. It describes how to properly construct a questionnaire, including the number of questions, question structure, and covering letters. It also examines different types of interviews, including structured, unstructured, focused, and depth interviews. The key steps in conducting an interview are preparing, beginning the interview to build rapport, and properly concluding the interview.
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch ppIqra Shah
Structured questionnaires and interviews are quantitative research instruments used to collect data. Structured questionnaires contain closed-ended questions with limited response options to standardize responses. They allow researchers to collect large amounts of data efficiently but don't explore complex issues well. Structured interviews follow a standardized set of questions but allow researchers to clarify understanding and obtain more detailed responses than questionnaires. Both methods produce reliable and comparable quantitative data but have limitations regarding response bias and depth of responses.
Questionnaire Design - Meaning, Types, Layout and Process of Designing Questi...Sundar B N
This ppt covers Questionnaire Design - Meaning, Types, Layout and Process of Designing Questionnaire which includes Questionnaire Definition
OBJECTIVES OF QUESTIONNAIRE
Questionnaire design process
Guidelines for Question Wording
Increasing the willingness of respondents
Overcoming unwillingness to answer
Layout of the Questionnaire
The document provides information about interviews as a method for collecting qualitative data in research. It discusses different types of interviews including structured, semi-structured, and unstructured interviews. Structured interviews involve asking all participants the same standardized set of closed-ended questions in a specific order. They allow for comparisons across responses but lack detail. Semi-structured interviews use an interview guide but allow flexibility in the order of questions. The document outlines advantages such as control and standardization with structured interviews but notes they lack flexibility.
The document provides information on different types of interviews that can be used for data collection in research. It discusses structured, semi-structured, and unstructured interviews. Structured interviews involve asking all respondents the same closed-ended questions in a standardized order. Semi-structured interviews use an interview guide but allow flexibility in wording and order of questions. Unstructured interviews are open conversations that gather in-depth details on a limited number of topics. The document outlines advantages and disadvantages of each type of interview.
The document discusses best practices for conducting surveys and writing questionnaires. It covers different methods of survey administration like face-to-face interviews, telephone interviews, and online questionnaires. It also discusses question formats, including open-ended and closed-ended questions, as well as tips for writing clear, unbiased questions to get accurate responses.
The document provides guidance on designing effective questionnaires. It emphasizes that questionnaires must have well-defined objectives in order to ask relevant questions and draw meaningful conclusions from the responses. Questions should follow logically from clear objectives. It also stresses that both open-ended and closed-format questions each have advantages, and the type of questions used should depend on the specific information needed. Demographic questions can help analyze response patterns among different groups. Overall, carefully considering objectives, question types, and question wording is essential for creating a questionnaire that efficiently gathers high-quality data.
This document provides an outline for a presentation on developing questionnaires. It discusses key topics such as the definition of a questionnaire, its purpose, elements, characteristics, types (open-ended, closed-ended, mixed), steps to develop one, when to use questionnaires, issues to consider regarding content and guidelines for development. Advantages and disadvantages of questionnaires are also presented. The document aims to inform participants on best practices for constructing effective questionnaires.
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The document provides information on preparing and administering a questionnaire for research. It discusses considerations for instrument selection including validity, reliability, and usability. It defines what a questionnaire is and provides tips for getting started, introduction, formatting questions, and common question types like Likert scales, ratings, rankings, and open-ended. It also covers piloting the questionnaire, considerations, advantages, disadvantages, and preparing the collected data for analysis.
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3. Questionnaire/Schedules design
3
Questionnaire/Schedules
A formalized set of questions for obtaining information from respondents.
There is much similarities between questionnaire and schedules
But from the technical point of view there is difference between the two. The
important points of difference are as follows:
4. Questionnaire/Schedules design
4
Difference between Questionnaire and Schedules
S.No Questionnaire Schedule
1.
Questionnaire is a non contact method for
information collection; generally sent through mail
to informants to be answered as specified in a
covering letter, but otherwise without further
assistance from the sender.
A schedule is a direct method for information
collection generally filled by the research worker
or enumerator, who can interpret the questions
when necessary.
2.
Data collection is cheap and economical as the
money is spent in preparation of questionnaire and in
mailing the same to respondents. This method is
comparatively cheaper and more time consuming.
Data collection is more expensive as money is
spent on enumerators and in imparting trainings to
them. Money is also spent in preparing schedules.
This method is expensive and less time
consuming.
3.
Non response is usually high as many people do not
respond and many return the questionnaire without
answering all questions. Bias due to non response
often remains indeterminate.
Non response is very low because this is filled by
enumerators who are able to get answers to all
questions. But even in this their remains the
danger of interviewer bias and cheating.
5. Questionnaire/Schedules design
5
Difference between Questionnaire and Schedules…
S.No Questionnaire Schedule
4. It is not clear that who replies. Identity of respondent is not known.
5.
The questionnaire method is likely to be very slow
since many respondents do not return the
questionnaire.
Information is collected well in time as they are
filled by enumerators.
6.
There is no person to person formal relationship.
Thus no personal contact is possible in case of
questionnaire as the questionnaires are sent to
respondents by post who also in turn returns the same
by post.
There is a person to person formal relationship.
Thus there is direct personal contact is established
7.
This method can be used only when respondents are
literate and cooperative.
This method can be implemented on both literate
as well as illiterate class of people.
8.
Wider and more representative distribution of sample
is possible.
There remains the difficulty in sending
enumerators over a relatively wider area.
9
The success of questionnaire methods lies more on
the quality of the questionnaire itself.
It depends upon the honesty and competence of
enumerators
6. Questionnaire/Schedules design
6
Difference between Questionnaire and Schedules…
S.No Questionnaire Schedule
10
Risk of collecting incomplete and wrong information
is relatively more under the questionnaire method,
when people are unable to understand questions
properly.
The information collected is generally complete
and accurate as enumerators can remove difficulties
if any faced by respondents in correctly
understanding the questions. As a result the
information collected through schedule is relatively
more accurate than that obtained through
questionnaires.
11.
The physical appearance of questionnaire must be
quite attractive.
This may not be the case as schedules are to be
filled in by enumerators and not by respondents.
12.
Observations are not possible when collecting data
through questionnaire.
Along with schedule observation method can also
be used.
13
The coverage area for collecting information is large. The coverage area for collecting information is
small.
14 Embarrassing questions cannot be used. Embarrassing questions can be used.
15
Any kind of doubt can be created and it is difficult to
resolve.
Any kind of doubt can be cleared on the spot.
7. Questionnaire/Schedules design
7
Objective of Questionnaire/Schedules
Translate information needed into specific questions
To uplift, motivate, and encourage the respondent to involve and complete
interview
To minimize response error.
8. Questionnaire Design and Quality
Questionnaire design is a systematic approach/process of including relevant
questions in a questionnaire in such a way that the best or accurate responses are
obtained from respondent with very little / no discomfort on the part of the
respondent as well as the enumerator.
Questionnaire design is one of the most critical stages in the survey research
process.
A questionnaire (survey) is only as good as the questions it asks—ask a bad
question, get bad results.
Composing a good questionnaire appears easy, but it is usually the result of
long, painstaking work.
The questions must meet the basic criteria of relevance and accuracy.
Questionnaire/Schedules design
9. Some Basic Considerations in Questionnaire Design
Decisions in Questionnaire design
Wording of questions
Opened-ended response question
Fixed-alternative question (close ended question)
Guidelines for construction of questions
Sequence of questioning
Layout of questions
Pretesting & Revising
Questionnaire/Schedules design
10. Decisions in Questionnaire Design
What should be asked?
How should questions be phrased?
In what sequence should the questions be arranged?
What questionnaire layout will best serve the research objectives?
How should the questionnaire be pretested? Does the questionnaire need to
be revised?
Questionnaire/Schedules design
11. What Should Be Asked?
Questionnaire Relevancy
All information collected should address a research question in helping the decision maker
in solving the current business problem.
Questionnaire Accuracy
Increasing the reliability and validity of respondent information requires that:
Questionnaires should use simple, understandable, unbiased, unambiguous, and
nonirritating words.
Questionnaire design should facilitate recall and motivate respondents to cooperate.
Proper question wording and sequencing to avoid confusion and biased answers.
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
12. Wording Questions
Open-ended Response Questions
Pose some problem and ask respondents to answer in their own words.
Advantages:
Are most beneficial in exploratory research, especially when the range
of responses is not known.
May reveal unanticipated reactions toward the product.
Are good first questions because they allow respondents to warm up to
the questioning process.
Disadvantages:
High cost of administering open-ended response questions.
The possibility that interviewer bias will influence the answer.
Bias introduced by articulate individuals’ longer answers.
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
13. Wording Questions (cont…)
Fixed-alternative Questions
Questions in which respondents are given specific, limited-
alternative responses and asked to choose the one closest to their
own viewpoint.
Advantages:
Require less interviewer skill
Take less time to answer
Are easier for the respondent to answer
Provides comparability of answers
Disadvantages:
Lack of range in the response alternatives
Tendency of respondents to choose convenient alternative
Questionnaire/Schedules design
14. Types of Fixed-Alternative Questions
Simple-dichotomy (dichotomous) Question
Requires the respondent to choose one of two alternatives (e.g., yes or no).
Determinant-choice Question
Requires the respondent to choose one response from among multiple alternatives (e.g.,
A, B, or C).
Frequency-determination Question
Asks for an answer about general frequency of occurrence (e.g., often, occasionally, or
never).
Checklist Question
Allows the respondent to provide multiple answers to a single question by checking off
items.
Wording Questions (cont…)
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
15. Guidelines for Constructing Questions
Avoid complexity: Simpler language is better.
Avoid leading and loaded questions.
Avoid ambiguity: Be as specific as possible.
Avoid double-barreled items.
Avoid making assumptions.
Avoid burdensome questions that may tax the respondent’s memory.
Make certain questions generate variance.
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
16. What is the best Question Sequence?
Order bias
Bias caused by the influence of earlier questions in a questionnaire or by an answer’s
position in a set of answers.
Funnel technique
Asking general questions before specific questions in order to obtain unbiased responses.
Filter question
A question that screens out respondents who are not qualified to answer a second question.
Pivot question
A filter question used to determine which version of a second question will be asked.
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
17. What is the best Layout?
Traditional Questionnaires
Multiple-grid question
Several similar questions arranged in a grid format.
The title of a questionnaire should be phrased carefully:
To capture the respondent’s interest, underline the importance of the
research
Emphasize the interesting nature of the study
Appeal to the respondent’s ego
Emphasize the confidential nature of the study
To not bias the respondent in the same way that a leading question might
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
18. Pretesting and Revising Questionnaires
Pretesting Process
Seeks to determine whether respondents have any difficulty
understanding the questionnaire and whether there are any
ambiguous or biased questions.
Preliminary Tabulation
A tabulation of the results of a pretest to help determine
whether the questionnaire will meet the objectives of the
research.
Questionnaire/Schedules design
Decisions in Questionnaire Design (Cont…)
19. 19
Specify the Information Needed
Design the Question to Overcome the Respondent’s Inability and Unwillingness to Answer
Determine the Content of Individual Questions
Decide the Question Structure
Determine the Question Wording
Arrange the Questions in Proper Order
Reproduce the Questionnaire
Specify the Type of Interviewing Method
Identify the Form and Layout
Eliminate Bugs by Pre-testing
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design
20. 20
Specify Information needed
It is the first step for questionnaire design as it helps in clearly understanding
needs
Types of Interviewing method
Mail Questionnaire
Telephone Questionnaire
Personal Questionnaire
Electronic Questionnaire (very similar to mail questionnaire)
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design….
21. 21
Individual Question Content
Is the question necessary?
Are several questions needed instead of one?
Example.:-
“Do you think Coca-Cola is a tasty and refreshing soft drink??”
“Do you think Coca-Cola is a tasty soft drink?”
“Do you think Coca-Cola is a refreshing soft drink?”
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
22. 22
Overcoming inability to answer
Is the Respondent informed?
e.g.:- A husband may not be aware of monthly expenses for groceries and
department store if wife make purchase or vice versa
Can the Respondent Remember?
Can the Respondent articulate?
e.g.:- If asked to describe the atmosphere of the department store.
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
23. 23
Overcome Unwillingness to Answer
Effort required of the Respondents
Context
Legitimate Purpose
Sensitive information should be avoided
Increase the willingness of Respondents
Choosing Question Structure
Unstructured Question
Structured Question
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
24. Choosing Question Wording
define the issue
use ordinary words
use unambiguous words
avoid leading questions
avoid implicit alternatives
avoid implicit assumptions
avoid generalizations and estimates
use positive and negative statements
24
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
25. Define the issue
25
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
The W’s Defining the Question
Who
The Respondent
It is not clear whether this question relates to the individual respondent or the
respondent's total household.
What
The Brand of Fertilizer
It is unclear how the respondent is to answer this question if more than one brand is
used.
When
Unclear
The time frame is not specified in this question. The respondent could interpret it
as meaning the fertilizer used this morning, this week, or over the past year.
Where At home, at the gym, on the road?
Choosing Question Wording…..
26. Define the issue
A question should clearly define the issue being addressed
Which brand(s) of fertilizer do you use??
Which brand(s )of fertilizer have you personally used at the farm during the
last month?
In case of more than one brand, please list all the brands that apply?
26
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording….
27. Use ordinary Words
ordinary words should be used in questionnaire vocabulary level should
match the respondents vocabulary
Do you think the distribution of soft drink is adequate??
Do you think soft drinks are readily available when you want them to buy?
27
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
28. Use Unambiguous Words
Words in questionnaire should have a single meaning known to respondents
In a typical month how often do you shop in department store??
Never….. Occasional ….. Sometimes….. Often….. Regularly…..
In a typical month how often do you shop in department store?
None….. 1 - 2 times…. 3 - 4 times…. More than 4 times…..
28
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
29. Avoid leading questions
A leading question clues, the respondent to answer in a certain way
Do you think patriotic Indians should buy imported automobiles when that
would put Indians labour out of work??
Do you think Indians should buy imported automobile?
29
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
30. Avoid implicit alternatives
Alternative not explicitly expressed is an implicit alternative
Do you like to fly when travelling short distances?
Do you like to fly when travelling short distances or would you rather drive??
30
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
31. Avoid implicit assumptions
Questions should not be worded so that the answer is dependent upon implicit
assumption
Are you in favour of a balanced budget?
Are you in favour of a balanced budget if it would result in an increase in the
personal income tax??
31
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
32. Avoid Generalizations and Estimates
Questions should be specific not general
Respondent does not make generalization or compute science
What is the annual per capita expenditure on groceries in your household??
(i) What is the monthly expenditure on groceries in your household? and
(ii) How many members are there in your household?
32
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Choosing Question Wording…..
33. Determining the order of questions
Opening question
Can be crucial in gaining the confidence, should be interesting, simple, and non
threatening
Type of Information
As a general guideline, basic information should be obtained first, followed by
classification, and, finally, identification information
Difficult Questions
Difficult questions which are sensitive, embarrassing, complex, or dull, should
be placed late in the sequence
33
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
34. Funnel Approach
Questions asked in sequence can influence the response to subsequent question
Thus questions asked from general to specific
What considerations are important to you in selecting a department store??
In selecting a department store how important is convenience or location?
34
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
Determining the order of questions (Cont…)
35. Form and Layout
Format, spacing and positioning questions have significant effect on results
Should be numbered serially
Normally questions at the top receive more importance than the bottom
Instructions in red make little difference; that they make the questionnaire
appear more complicated
35
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
36. Reproduction of Questionnaire
Paper quality can reflect on project
Vertical response columns
Tendency to crowd should be avoided
Instructions to be placed close to the question
Should be large and clear
36
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
37. Pretesting
Testing of the questionnaire on a sample to identify and eliminate potential errors
Details
General rule
Respondents similar to the actual survey
Variety of interviewers used
All aspects of the questionnaire should be tested
Protocol analysis (think aloud) & debriefing are two used procedures
37
Questionnaire/Schedules design
Steps involve in Questionnaire/Schedules design…..
39. Overcoming Instrument Problems
Build rapport
Redesign question process
Explore alternatives
Use other methods
Pretest
Questionnaire/Schedules design
40. REFERENCES
COOPER, D.R. AND SCHINDLER, P.S. (2011) BUSINESS RESEARCH
METHODS, 11TH EDN, MCGRAW HILL
ZIKMUND, W.G., BABIN, B.J., CARR, J.C. AND GRIFFIN, M. (2010)
BUSINESS RESEARCH METHODS, 8TH EDN, SOUTH-WESTERN
SAUNDERS, M., LEWIS, P. AND THORNHILL, A. (2012) RESEARCH
METHODS FOR BUSINESS STUDENTS, 6TH EDN, PRENTICE HALL.
SAUNDERS, M. AND LEWIS, P. (2012) DOING RESEARCH IN
BUSINESS & MANAGEMENT, FT PRENTICE HALL.