Multistage sampling is a complex form of cluster sampling that uses multiple sampling methods together in stages. It first divides the population into primary sampling units and randomly selects some of these units. The selected units are then divided into secondary sampling units where another random sample is selected. This process can continue for third and fourth stages if needed. Multistage sampling is commonly used in large surveys to efficiently select samples across geographical areas in multiple stages.
This document provides an overview of wastelands in India, including:
- India has over 55 million hectares of wasteland, accounting for around 17% of its total land area.
- Wastelands are classified based on their difficulty of reclamation - easily reclaimable, reclaimable with some difficulty, and reclaimable with extreme difficulty.
- Major methods for wasteland reclamation discussed include afforestation, reforestation, agroforestry, and various agricultural practices.
- Several government schemes aim to promote wasteland development through activities like soil conservation, planting trees/crops, fuelwood production, and encouraging participation.
- One case study describes reclamation of industrial wast
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
ppt on data collection , processing , analysis of data & report writingIVRI
This document provides information on data collection methods and statistical analysis. It discusses various types of data collection including observation, interviews, questionnaires, surveys, and case studies. It also covers primary and secondary sources of data. The document outlines steps for processing and analyzing data such as editing, coding, tabulation, and classification. It describes various statistical tools for analysis including measures of central tendency, dispersion, t-tests, and chi-square tests. Guidelines are provided for writing reports to communicate the results of a research study.
A statistical error is the difference between a sample value and the true population value. There are two main types of error - sampling error and non-sampling error. Sampling error occurs when the sample is not fully representative of the population, while non-sampling error can arise from factors like non-response, measurement issues, interviewer errors, adjustments to the data, or processing mistakes. Common ways to measure and reduce sampling error include calculating the standard error, sample size, and sample design.
Recent advances in the methods of fertilizer scheduling in temperate fruitsJahangeer Ahmad
Fertilizer scheduling is the process of determining when to give fertilizer and how much of fertilizer to be applied.
Scientific fertilizer scheduling is a technique providing knowledge on correct time and optimum quantity of fertilizer application at each stage to optimize crop yields with maximum fertilizer use efficiency and at the same time ensuring minimum damage to soil properties.
Integrated nutrient management is an approach to optimize soil fertility and plant nutrition by using all possible sources of plant nutrients (organic and inorganic) in a balanced and efficient manner. The goals are to optimize plant production and profitability while conserving resources and improving soil quality. In conventional farming, emphasis was placed on chemical fertilizers and high yields, but this caused nutrient depletion and deterioration of soil health over time. Integrated nutrient management balances nutrient supply from organic sources like farmyard manure with inorganic fertilizers, and synchronizes nutrient availability with crop demand to maintain long-term productivity and soil function.
This document discusses various methods for collecting primary and secondary data. It describes observation, interviews, questionnaires, and schedules as the main methods for collecting primary data. It provides details on the types, advantages, and disadvantages of each method. It also discusses other techniques like surveys, audits, and panels. For secondary data, it notes that this involves using already available data from sources like governments, organizations, and past research. The key methods are summarized in 3 sentences or less.
Multistage sampling is a complex form of cluster sampling that uses multiple sampling methods together in stages. It first divides the population into primary sampling units and randomly selects some of these units. The selected units are then divided into secondary sampling units where another random sample is selected. This process can continue for third and fourth stages if needed. Multistage sampling is commonly used in large surveys to efficiently select samples across geographical areas in multiple stages.
This document provides an overview of wastelands in India, including:
- India has over 55 million hectares of wasteland, accounting for around 17% of its total land area.
- Wastelands are classified based on their difficulty of reclamation - easily reclaimable, reclaimable with some difficulty, and reclaimable with extreme difficulty.
- Major methods for wasteland reclamation discussed include afforestation, reforestation, agroforestry, and various agricultural practices.
- Several government schemes aim to promote wasteland development through activities like soil conservation, planting trees/crops, fuelwood production, and encouraging participation.
- One case study describes reclamation of industrial wast
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
ppt on data collection , processing , analysis of data & report writingIVRI
This document provides information on data collection methods and statistical analysis. It discusses various types of data collection including observation, interviews, questionnaires, surveys, and case studies. It also covers primary and secondary sources of data. The document outlines steps for processing and analyzing data such as editing, coding, tabulation, and classification. It describes various statistical tools for analysis including measures of central tendency, dispersion, t-tests, and chi-square tests. Guidelines are provided for writing reports to communicate the results of a research study.
A statistical error is the difference between a sample value and the true population value. There are two main types of error - sampling error and non-sampling error. Sampling error occurs when the sample is not fully representative of the population, while non-sampling error can arise from factors like non-response, measurement issues, interviewer errors, adjustments to the data, or processing mistakes. Common ways to measure and reduce sampling error include calculating the standard error, sample size, and sample design.
Recent advances in the methods of fertilizer scheduling in temperate fruitsJahangeer Ahmad
Fertilizer scheduling is the process of determining when to give fertilizer and how much of fertilizer to be applied.
Scientific fertilizer scheduling is a technique providing knowledge on correct time and optimum quantity of fertilizer application at each stage to optimize crop yields with maximum fertilizer use efficiency and at the same time ensuring minimum damage to soil properties.
Integrated nutrient management is an approach to optimize soil fertility and plant nutrition by using all possible sources of plant nutrients (organic and inorganic) in a balanced and efficient manner. The goals are to optimize plant production and profitability while conserving resources and improving soil quality. In conventional farming, emphasis was placed on chemical fertilizers and high yields, but this caused nutrient depletion and deterioration of soil health over time. Integrated nutrient management balances nutrient supply from organic sources like farmyard manure with inorganic fertilizers, and synchronizes nutrient availability with crop demand to maintain long-term productivity and soil function.
This document discusses various methods for collecting primary and secondary data. It describes observation, interviews, questionnaires, and schedules as the main methods for collecting primary data. It provides details on the types, advantages, and disadvantages of each method. It also discusses other techniques like surveys, audits, and panels. For secondary data, it notes that this involves using already available data from sources like governments, organizations, and past research. The key methods are summarized in 3 sentences or less.
Quantitative, qualitative, and mixed method approachesmuryantinarima
The document discusses quantitative, qualitative, and mixed methods research approaches. Quantitative research aims to approve or disprove a hypothesis by collecting numerical data, while qualitative research aims to answer research questions by gathering non-numerical contextual data to explain phenomena. Mixed methods combines both approaches to balance efficient data collection with in-depth analysis.
The document discusses different types of sampling designs used in research, including probability and non-probability sampling. Probability sampling methods aim to give all members of the population an equal chance of being selected and include simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Non-probability sampling methods do not use random selection and include convenience sampling, purposive sampling, and quota sampling. The key factors to consider in sampling design are determining the target population, parameters of interest, sampling frame, appropriate sampling method, and sample size.
This document discusses different types of plant breeding populations based on their genetic constitution and mode of reproduction. It describes self-pollinated species as homozygous and homogeneous, producing offspring through self-fertilization. Cross-pollinated species are heterozygous and heterogeneous, as random mating produces new gene combinations. Asexually propagated species can be either self- or cross-pollinated, and are generally highly heterozygous with a broad genetic base. Breeding populations are classified as homogeneous, heterogeneous, homozygous, or heterozygous based on genetic similarity and whether they segregate upon self-fertilization.
Isolation distance refers to the minimum separation required between crop varieties to maintain seed purity. There are three main types of isolation: spatial, temporal, and physical barriers. Spatial isolation involves separating fields by distance, with greater distances required for cross-pollinated crops versus self-pollinated crops. Temporal isolation is achieved by staggering planting dates of different varieties by 15-20 days. Physical barriers use border crops or bags to prevent cross-pollination. Factors like pollination method, pollen viability, disease pressure, and seed class influence isolation distance needs. Techniques like block planting, only collecting central seeds, and using barrier crops can reduce isolation distance requirements.
This document discusses different systems of agroforestry classification. It defines key terms like system, subsystem, and practices. It then describes various agroforestry systems including:
1. Agrisilvicultural systems like improved fallow species, taungya systems, and multispecies tree gardens.
2. Silvopastoral systems including protein banks and live fences.
3. Factors for agroforestry system classification including spatial arrangements, roles of components, and social/economic features.
An interview is generally a qualitative research technique which involves asking open-ended questions to converse with respondents and collect elicit data about a subject. ...
Structured interviews are excessively used in survey research with the intention of maintaining uniformity throughout all the interview sessions.
The document discusses soil crusting, its causes and effects. It outlines several key points:
- Soil crusting occurs when the surface layer of soil hardens due to factors like rainfall, drying, and tillage. It reduces porosity and infiltration.
- Crusts form via physical, chemical, and biological processes and come in types like structural, depositional, and salt crusts.
- Factors influencing crust formation include soil texture, organic matter content, tillage, and sodicity.
- Crusting causes problems like decreased water infiltration, increased runoff and erosion, and reduced crop germination and yields.
This document provides an introduction to qualitative research methods. It outlines some key differences between qualitative and quantitative research, including that qualitative research is subjective, holistic, and aims to understand why and how phenomena occur rather than objective measurements. It also describes some common qualitative research designs like phenomenology, ethnography, and grounded theory. The document then covers methods for collecting qualitative data through interviews, focus groups, observation, and documents. It provides guidance on analyzing, coding, and presenting the results of qualitative research.
This document discusses different types of interviews used in research including structured and unstructured interviews. It describes the key characteristics of each type of interview and their advantages and disadvantages. Structured interviews involve standardized questions while unstructured interviews are more like conversations. Preparing for interviews, qualifying interviewers, constructing question types and stages of interviews are also outlined.
A questionnaire is a research tool used to gather information from a specific demographic in order to achieve research objectives. It should be short, clear, objective and avoid embarrassing questions. Questionnaires provide factual, behavioral, and attitudinal information. They describe populations and measure variables like attitudes. Good questionnaire design involves determining question content, format, wording and sequence. Questionnaires standardize data collection but lack validity checks and insight into responses.
This document discusses various sampling methods used in research. It defines sampling as selecting a subset of individuals from a larger population to gather information about that population. Probability sampling methods like simple random sampling, stratified random sampling, and systematic random sampling aim to provide an unbiased representation of the population. Non-probability methods like purposive sampling and snowball sampling are used when random selection is not feasible. Key factors that influence sampling like sample size, bias, and population characteristics are also reviewed. The document provides examples and compares advantages and disadvantages of different sampling techniques.
This document provides an overview of mixed methods research. It discusses the three main types of research designs: qualitative, quantitative, and mixed methods. It explains the differences between qualitative and quantitative research in terms of purpose, group studied, variables, data collection/analysis, and results. The document also discusses pragmatism as the philosophy behind mixed methods research and reasons for combining methods. It outlines various ways that qualitative and quantitative methods can be mixed, such as through timing, weighting, and mixing of data. The document concludes by describing six main mixed methods designs and recommending further readings on the topic.
This document discusses non-sampling error in surveys. It notes that non-sampling error occurs for reasons other than the sampling technique and can happen at every stage of a survey. There are two main types of non-sampling error: non-observation error, which includes non-coverage and non-response; and measurement error, which is when a respondent's answer differs from the true value. The document outlines various causes of non-sampling error and methods to reduce errors, such as improved training and monitoring of interviewers.
The document discusses important considerations for designing effective questionnaires. It recommends that questionnaires should begin by engaging respondents, ask target questions in the middle, and place optional questions at the end. Early questions should be simple and convey the study's theme. A pilot test can identify weaknesses to improve the questionnaire before full administration. The goal is to create a questionnaire that collects meaningful data through clear, well-ordered questions.
This document discusses ways to improve fertilizer use efficiency. It explains that fertilizer recommendations are based on soil tests to determine nutrient needs. Efficiency is maximized by selecting the right fertilizer type, applying at the right time and rate based on soil and crop factors. Key losses include leaching, gaseous losses through processes like denitrification, and immobilization through chemical reactions or microbial activity. The document provides strategies to minimize each loss type such as fertilizer placement, addition of nitrification inhibitors, and selecting fertilizers suited to the soil properties.
Technological advancements can help increase micronutrient use efficiency to sustain crop production. Some methods discussed include fortified fertilizers, chelates, nanofertilizers, genetic manipulation, and precision agriculture using sensors. Research findings showed that foliar spray of boron and zinc increased yields of cauliflower and pumpkin compared to soil application alone. Zinc content in wheat grains also increased with combined soil and foliar zinc application compared to soil application or no zinc. Advancements can help address micronutrient deficiencies and improve crop nutrition and yields.
The document discusses soil taxonomy and the US comprehensive soil classification system. It describes the hierarchical structure of the classification system, which categorizes soils into orders, suborders, great groups, subgroups, families, and series based on distinguishing characteristics like soil properties and diagnostic horizons. The key diagnostic horizons used in classification include epipedons (surface horizons) like the mollic and spodic horizons, and endopedons (subsurface horizons) like the argillic, calcic, and oxic horizons. Major soil orders discussed are Mollisols, Alfisols, Ultisols, Entisols, Inceptisols, and Spodosols.
Non-sampling errors occur in surveys and censuses due to factors other than sampling and can happen at various stages:
- Specification errors occur during planning due to issues like incomplete population coverage or ambiguous questions.
- Ascertainment errors happen during data collection due to inaccurate recording or ambiguous instructions.
- Tabulation errors take place during analysis through mistakes in coding, analysis or presentation of results.
Some common sources of non-sampling errors include lack of proper planning, incomplete or inaccurate responses, ambiguous definitions, and errors in data processing. Measures like pre-testing questionnaires, hiring experienced staff, and cross-checking data can help reduce non-sampling errors.
The document discusses interview methods for research. Interviews involve direct face-to-face interaction between the interviewer and interviewee. They allow for collection of in-depth data through open-ended questions and discussion. There are different types of interviews - structured interviews follow a rigid standardized format; semi-structured interviews have some flexibility in question order; single interviews involve one interviewer and interviewee; group interviews have multiple interviewees. Interviews have advantages like depth of information, insights from experts, and flexibility, but are also time consuming to analyze and can be affected by the interviewer.
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.
Quantitative, qualitative, and mixed method approachesmuryantinarima
The document discusses quantitative, qualitative, and mixed methods research approaches. Quantitative research aims to approve or disprove a hypothesis by collecting numerical data, while qualitative research aims to answer research questions by gathering non-numerical contextual data to explain phenomena. Mixed methods combines both approaches to balance efficient data collection with in-depth analysis.
The document discusses different types of sampling designs used in research, including probability and non-probability sampling. Probability sampling methods aim to give all members of the population an equal chance of being selected and include simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Non-probability sampling methods do not use random selection and include convenience sampling, purposive sampling, and quota sampling. The key factors to consider in sampling design are determining the target population, parameters of interest, sampling frame, appropriate sampling method, and sample size.
This document discusses different types of plant breeding populations based on their genetic constitution and mode of reproduction. It describes self-pollinated species as homozygous and homogeneous, producing offspring through self-fertilization. Cross-pollinated species are heterozygous and heterogeneous, as random mating produces new gene combinations. Asexually propagated species can be either self- or cross-pollinated, and are generally highly heterozygous with a broad genetic base. Breeding populations are classified as homogeneous, heterogeneous, homozygous, or heterozygous based on genetic similarity and whether they segregate upon self-fertilization.
Isolation distance refers to the minimum separation required between crop varieties to maintain seed purity. There are three main types of isolation: spatial, temporal, and physical barriers. Spatial isolation involves separating fields by distance, with greater distances required for cross-pollinated crops versus self-pollinated crops. Temporal isolation is achieved by staggering planting dates of different varieties by 15-20 days. Physical barriers use border crops or bags to prevent cross-pollination. Factors like pollination method, pollen viability, disease pressure, and seed class influence isolation distance needs. Techniques like block planting, only collecting central seeds, and using barrier crops can reduce isolation distance requirements.
This document discusses different systems of agroforestry classification. It defines key terms like system, subsystem, and practices. It then describes various agroforestry systems including:
1. Agrisilvicultural systems like improved fallow species, taungya systems, and multispecies tree gardens.
2. Silvopastoral systems including protein banks and live fences.
3. Factors for agroforestry system classification including spatial arrangements, roles of components, and social/economic features.
An interview is generally a qualitative research technique which involves asking open-ended questions to converse with respondents and collect elicit data about a subject. ...
Structured interviews are excessively used in survey research with the intention of maintaining uniformity throughout all the interview sessions.
The document discusses soil crusting, its causes and effects. It outlines several key points:
- Soil crusting occurs when the surface layer of soil hardens due to factors like rainfall, drying, and tillage. It reduces porosity and infiltration.
- Crusts form via physical, chemical, and biological processes and come in types like structural, depositional, and salt crusts.
- Factors influencing crust formation include soil texture, organic matter content, tillage, and sodicity.
- Crusting causes problems like decreased water infiltration, increased runoff and erosion, and reduced crop germination and yields.
This document provides an introduction to qualitative research methods. It outlines some key differences between qualitative and quantitative research, including that qualitative research is subjective, holistic, and aims to understand why and how phenomena occur rather than objective measurements. It also describes some common qualitative research designs like phenomenology, ethnography, and grounded theory. The document then covers methods for collecting qualitative data through interviews, focus groups, observation, and documents. It provides guidance on analyzing, coding, and presenting the results of qualitative research.
This document discusses different types of interviews used in research including structured and unstructured interviews. It describes the key characteristics of each type of interview and their advantages and disadvantages. Structured interviews involve standardized questions while unstructured interviews are more like conversations. Preparing for interviews, qualifying interviewers, constructing question types and stages of interviews are also outlined.
A questionnaire is a research tool used to gather information from a specific demographic in order to achieve research objectives. It should be short, clear, objective and avoid embarrassing questions. Questionnaires provide factual, behavioral, and attitudinal information. They describe populations and measure variables like attitudes. Good questionnaire design involves determining question content, format, wording and sequence. Questionnaires standardize data collection but lack validity checks and insight into responses.
This document discusses various sampling methods used in research. It defines sampling as selecting a subset of individuals from a larger population to gather information about that population. Probability sampling methods like simple random sampling, stratified random sampling, and systematic random sampling aim to provide an unbiased representation of the population. Non-probability methods like purposive sampling and snowball sampling are used when random selection is not feasible. Key factors that influence sampling like sample size, bias, and population characteristics are also reviewed. The document provides examples and compares advantages and disadvantages of different sampling techniques.
This document provides an overview of mixed methods research. It discusses the three main types of research designs: qualitative, quantitative, and mixed methods. It explains the differences between qualitative and quantitative research in terms of purpose, group studied, variables, data collection/analysis, and results. The document also discusses pragmatism as the philosophy behind mixed methods research and reasons for combining methods. It outlines various ways that qualitative and quantitative methods can be mixed, such as through timing, weighting, and mixing of data. The document concludes by describing six main mixed methods designs and recommending further readings on the topic.
This document discusses non-sampling error in surveys. It notes that non-sampling error occurs for reasons other than the sampling technique and can happen at every stage of a survey. There are two main types of non-sampling error: non-observation error, which includes non-coverage and non-response; and measurement error, which is when a respondent's answer differs from the true value. The document outlines various causes of non-sampling error and methods to reduce errors, such as improved training and monitoring of interviewers.
The document discusses important considerations for designing effective questionnaires. It recommends that questionnaires should begin by engaging respondents, ask target questions in the middle, and place optional questions at the end. Early questions should be simple and convey the study's theme. A pilot test can identify weaknesses to improve the questionnaire before full administration. The goal is to create a questionnaire that collects meaningful data through clear, well-ordered questions.
This document discusses ways to improve fertilizer use efficiency. It explains that fertilizer recommendations are based on soil tests to determine nutrient needs. Efficiency is maximized by selecting the right fertilizer type, applying at the right time and rate based on soil and crop factors. Key losses include leaching, gaseous losses through processes like denitrification, and immobilization through chemical reactions or microbial activity. The document provides strategies to minimize each loss type such as fertilizer placement, addition of nitrification inhibitors, and selecting fertilizers suited to the soil properties.
Technological advancements can help increase micronutrient use efficiency to sustain crop production. Some methods discussed include fortified fertilizers, chelates, nanofertilizers, genetic manipulation, and precision agriculture using sensors. Research findings showed that foliar spray of boron and zinc increased yields of cauliflower and pumpkin compared to soil application alone. Zinc content in wheat grains also increased with combined soil and foliar zinc application compared to soil application or no zinc. Advancements can help address micronutrient deficiencies and improve crop nutrition and yields.
The document discusses soil taxonomy and the US comprehensive soil classification system. It describes the hierarchical structure of the classification system, which categorizes soils into orders, suborders, great groups, subgroups, families, and series based on distinguishing characteristics like soil properties and diagnostic horizons. The key diagnostic horizons used in classification include epipedons (surface horizons) like the mollic and spodic horizons, and endopedons (subsurface horizons) like the argillic, calcic, and oxic horizons. Major soil orders discussed are Mollisols, Alfisols, Ultisols, Entisols, Inceptisols, and Spodosols.
Non-sampling errors occur in surveys and censuses due to factors other than sampling and can happen at various stages:
- Specification errors occur during planning due to issues like incomplete population coverage or ambiguous questions.
- Ascertainment errors happen during data collection due to inaccurate recording or ambiguous instructions.
- Tabulation errors take place during analysis through mistakes in coding, analysis or presentation of results.
Some common sources of non-sampling errors include lack of proper planning, incomplete or inaccurate responses, ambiguous definitions, and errors in data processing. Measures like pre-testing questionnaires, hiring experienced staff, and cross-checking data can help reduce non-sampling errors.
The document discusses interview methods for research. Interviews involve direct face-to-face interaction between the interviewer and interviewee. They allow for collection of in-depth data through open-ended questions and discussion. There are different types of interviews - structured interviews follow a rigid standardized format; semi-structured interviews have some flexibility in question order; single interviews involve one interviewer and interviewee; group interviews have multiple interviewees. Interviews have advantages like depth of information, insights from experts, and flexibility, but are also time consuming to analyze and can be affected by the interviewer.
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 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.
This document provides guidelines for effective interviewing techniques. It discusses different types of interviews such as structured, unstructured, formal, informal, individual, group, depth, panel, research, clinical, and diagnostic interviews. It also outlines steps to conduct interviews such as introduction, establishing rapport, asking open-ended questions, active listening, avoiding bias, maintaining focus, and concluding professionally. Key recommendations include using interviews appropriately for the research purpose, establishing trust, respecting participants, and practicing skills to obtain rich qualitative data.
The document discusses interview schedules as a tool for data collection in social research. It provides definitions of key terms like research, social research, and data collection methods. It then explains interview schedules in detail. Specifically, it defines an interview schedule as a set of questions asked by an interviewer to respondents. It discusses the functions of interview schedules which include flexibility for interviewers and ability to observe respondents. It also outlines the structure of interview schedules, describing structured versus unstructured formats and types of questions included like main questions, probing questions, and follow up questions.
Interviewing techniques for research by jayadeva de silvaSelf-employed
Structured interviews have a set list of questions asked in the same order to all respondents. This allows for standardized, quantifiable responses but limits flexibility. Semi-structured interviews follow a general outline but allow elaboration. Unstructured interviews are open conversations that generate rich qualitative data but are difficult to analyze systematically. The type of interview chosen depends on the goal of obtaining standardized or customized responses within the needed time and resources.
The document provides information about planning and conducting interviews for research purposes. It discusses different types of interviews including unstructured, semi-structured, and structured interviews. It explains the advantages and disadvantages of each type. The document also outlines steps for planning an interview such as preparing an interview schedule, piloting the questions, and selecting informants. Overall, the document serves as a guide for researchers on how to appropriately design, test, and conduct qualitative interviews.
This document discusses qualitative research interviews as a method of data collection. It explains that interviews allow researchers to get detailed personal accounts and insights from participants. There are various types of interviews, from informal conversations to standardized questions. Data is typically analyzed for themes and to develop theories. Key advantages include obtaining rich, nuanced data directly from human experience. However, analysis can be time-consuming and results may not be generalizable. The document provides guidance on conducting, administering, analyzing and reporting qualitative interviews.
This document discusses different methods of data collection in nursing research, focusing on interviews. It defines interviews and describes their purpose as gathering information. The main types of interviews covered are structured, unstructured, semi-structured, focused group, and telephonic interviews. For each type, the document outlines their key characteristics, merits and demerits. Additional sections provide the definition of interviews, purposes of interviews, and the interview process.
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.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to explore topics in depth. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to gather personal details from candidates. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
This document discusses various research interview methods used to collect primary data, including unstructured interviews which use open-ended questions to understand perceptions, structured interviews which use standardized questions, and focus groups which gather group discussions. It provides tips for conducting interviews such as establishing rapport, avoiding bias, and using techniques like funneling. The advantages and disadvantages of face-to-face and telephone interviews as well as focus groups and videoconferencing are also outlined.
This document provides guidance for novice researchers on conducting qualitative interviews. It discusses three common interview designs: informal conversational interviews, general interview guides, and standardized open-ended interviews. For each, it provides examples and discusses strengths and weaknesses. The document also offers suggestions for preparing, constructing questions, implementing interviews, and interpreting the collected data to analyze themes. The overall guidance is to thoroughly plan and prepare interviews, ask open-ended questions, and get feedback to reduce bias when analyzing responses.
The document discusses different types of interview methods used in psychology: structured interviews, semi-structured interviews, and unstructured interviews. Structured interviews involve asking all candidates the same predetermined questions. Semi-structured interviews involve asking some predetermined questions but also allowing new questions to arise spontaneously. Unstructured interviews have no predetermined questions and arise organically from a free-flowing conversation. Each method has advantages like objectivity or flexibility and disadvantages like lack of structure or difficulty in analysis.
This document outlines the process of conducting interviews and focus groups for research purposes. It begins with definitions of interviews and their purposes. There are several types of interviews described, including structured, semi-structured, unstructured, and focus groups. The planning and conducting of interviews is explained in a 10 stage process: 1) thematizing, 2) designing, 3) constructing a schedule, 4) question format, 5) response mode, 6) conducting, 7) transcribing, 8) analyzing, 9) verifying, and 10) reporting. Focus groups are defined as involving a small group of participants who discuss a topic led by a moderator. The analysis of interview data can involve thematic analysis, narrative analysis, or
The document discusses different types of interviews used in research. It describes structured, semi-structured, and unstructured interviews, as well as single, group, and focus group interviews. The key aspects of preparing for an interview, properly executing it, and accurately recording and interpreting the responses are also outlined. Interviews are a commonly used research method that allow direct collection of data through verbal communication, but require skill and care to implement effectively.
Interview as a method for qualitative researchdianejanzen
The document discusses interview as a method for qualitative research. It defines qualitative research interviews as seeking to understand the meanings and themes in subjects' lives. There are several types of interviews described, including informal conversations, standardized questions, and closed questions. Proper training of interviewers is important to minimize bias and get quality responses. Questions should cover behaviors, opinions, feelings and be asked in a logical sequence. The interview process involves preparation, recording responses, and analysis.
This document discusses interview techniques and best practices. It covers types of interviews like structured, semi-structured, and unstructured. It also discusses training interviewers to avoid bias, preparing for an interview with topics like confidentiality and format, asking questions with the right sequence and type, analyzing interviews, and considering the strengths and weaknesses of interviews. The overall goal is to help researchers conduct effective qualitative interviews.
This document discusses different types of interviews. It begins by defining an interview as a conversation where questions are asked and answers are given. It then describes formal interviews as highly structured with predetermined questions asked in a set order. Informal interviews are described as unstructured without predetermined questions or order. Semi-structured interviews use a flexible framework of topics rather than strict questions. The document provides details on each type of interview.
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Interview, enquiry forms & schedules by ritu swarnakar
1. PRESENTATION ON
DATA COLLECTION DEVICE – INTERVIEW – MEANING, PURPOSE,
TYPES,TECHNIQUES OF INTERVIEWING AND ADVANTAGE AND
DISADVANTAGES
ENQUIRY FORMS AND SCHEDULES – MEANING, TYPES OF QUESTIONS
USED,STEPS IN CONSTRUCTION AND ADVANTAGES AND DISADVANTAGES
COURSE TITLE
RESEARCH METHODOLOGYAND BEHAVIORAL SCIENCE
PRESENTED BY
RITU SWARNKAR
( M . S C . AGRICULTURE EXTENSION,
2. Content
Introduction
data collection
Interview as a tool of data
collection
Interview
Meaning
Definition
Characteristics of interview
Purpose
Types of interview
Techniques of interviewing
Advantages
Disadvantages
Inquiry form and schedule
Inquiry form- meaning
Questionnaire and schedule
Schedule
Types of schedule
Questionnaire – meaning,
definition
Types of question use
Steps of construction
Advantages
Disadvantages
Conclusion
Reference
3. Introduction
In dealing with any real life (research) problem, it is often found that data
at hand are inadequate, and hence it becomes necessary to collect data that are
appropriate.
There are several ways of collecting the appropriate data which differ
considerably in context of money costs, time, and other resources at the discretion of
the researcher.
Research differs in many aspects, but they do have few similar aspects.
Many components are involved in conducting research. One very essential factor is
collection of data.
Data collection can be gathered from a number of sources, which includes
working environment, web technologies, focus groups, field notes, questionnaires and
recorded social interactions or interviews. This presentation focuses on interviews, as
a data collection tool,
4. Data Collection
The successful completion of a sampling procedure connects the research with the respondents and
specifies the kind and number of respondents who will be involved. The investigator knows at this
stage not only what will be studied, but also who to approach for the required information. The
information will be available, provided that the right connection between the researcher and the
respondents is made.
This connection is made through the methods of data collection. While deciding about
the method of data collection to be used for the study, researcher should keep in mind two types of
data viz., Primary data and Secondary data.
Data Collection Method
Primary Data Secondary Data
----------------------------------------------------------------------------------------------
Questionnaire Interview Observation
The primary data are those which are collected afresh and for the first time, and thus
happen to be original in character. Secondary data on the other hand, are those which have already
been collected by someone else and which have already been passed through the statistical process.
5. Interviews as a Tool of Data Collection
Interviewing is a form of questioning characterized by the fact that it
employs verbal questioning as its principal technique of data collection.
Interviews are employed by people in everyday life, but as a scientific tool
of social research, or better as a method of data collection, interviewing is different
with regard to its preparation, construction, and execution in that it is prepared and
executed in a systematic way.
Interviews basically consist of asking questions, listening to individuals
and recording their responses.
Interviews allow participants to provide rich, contextual descriptions of
events. Interviews are a systematic way of talking and listening to respondents and
are another way to collect data from individuals through conversations.
Kvale (1996) regarded interviews as “ an interchange of views between
two or more people on a topic of mutual interest, sees the centrality of human
interaction for knowledge production, and emphasizes the social situatedness of
research data.”
6. Definition
Interview is verbal questioning. In research, Lindzey Gardner has defined
interview as “a two-person conversation, initiated by the interviewer for the specific
purpose of obtaining research-relevant information and focused by him on the content
specified by the research objectives of description and explanation”.
Functions of interview
Two major functions of the interview techniques are
i. Description ii.Exploration
Description
The information received from the respondent provides insight into the nature of
social reality. Since the interviewer spends some time with the respondents, he can
understand their feelings & attitudes more clearly, and seek additional information
wherever necessary and make information meaningful for him.
Exploration
Interview provides insight into unexplored dimensions of the problem.
7. Characteristics of interview
Black & Champion have pointed out the following characteristics of an interview
i. Personal Communication.
iii. Instant response.
iv. Temporary relationship between interviewer and the interviewee.
v. Considerable flexibility in the format of the interview.
Purpose of interview
The most obvious way of finding the information is to ask someone who may be able to
help. Interviews also have a large number of potential advantages for a qualitative researcher.
Specifically, in an information setting some of the advantages are especially significant. There are
many reasons to use interviews for collecting data and using it as a research instrument. Gray (2004)
has given the following reasons
•There is a need to attain highly personalized data.
•There are opportunities required for probing.
•A good return rate is important (speed).
•When respondents are not fluent in the native language of the country, or where they have
difficulties with written language.
•Immediacy
8. Types of Interviews
There are many types of interviews, each of which differs from the others in
structure, purpose, role of the interviewer, number of respondents involved in each
interview, and form and frequency of administration.
Structured Interview
A structured interview is sometimes called as standardized interview. Same
questions are asked for all respondents.
Corbetta (2003) states structured interviews are” interviews in which all
respondents are asked the same questions with the same wording and in the same
sequence.”
The aim is for all interviewees to be given exactly the same context of
questioning.
The strengths of structured interviews are that the researcher has control
over the topics and the format of the interview.
On the contrary, drawbacks of structured interviews are they adhere too
closely to the interview guide and may be the cause of not probing for relevant
information.
9. Semi-structured Interviews
In this Semi-structured interviewer the researcher has a list of key themes, issues, and
questions to be covered. Here the order of the questions can be changed depending on the
direction of the interview.
Corbetta (2003) explains semi-structured interviews as follows:
[
The order in which the various topics are dealt with and the wording of the questions
are left to the interviewer’s discretion. Within each topic, the interviewer is free to conduct the
conversation as he thinks fit,
Additional questions can be asked and some may be questions that have not been
anticipated in the beginning of the interview.
The drawbacks are inexperienced interviewers may not be able to ask prompt
questions. If this is the case, some relevant data may not be gathered.
10. Unstructured Interviews
This type of interview is non-directed and is a flexible method. It is more casual
than the other mentioned interviews.
There is no need to follow a detailed interview guide. Interviewees are encouraged
to speak openly, frankly and give as much detail as possible.
The strengths of unstructured interviews are no restrictions are placed on
questions.
It is useful when little or no knowledge exists about a topic. So, background data
can be collected.
Unstructured interviews are flexible.
The drawbacks of unstructured interviews are that they can be inappropriate for
unexperienced interviewers. The interviewers may be bias and ask inappropriate questions.
11. Non-directive Interviews
Questions are usually not pre-planned.
The interviewer listens and does not take the lead.
The interviewer follows what the interviewee has to say. The interviewee leads the
conversation.
The interviewer has the objectives of the research in mind and what issues to cover
during the interview. The interviewee is allowed to talk freely about the subject.
The interviewer’s role is to check on unclear points and to rephrase the answer to check
for accuracy and understanding (Gray, 2004).
Non-directive interviews have their origin in dynamic psychology and psychotherapy
with the objective to help patients reveal their deep-seated and subconscious
feelings.
The strengths of non-directive interviews are to find the deep-seated problem and the
subconscious feelings.
On the other hand, the drawbacks are that there are no directions or issues to
explore which can cause some problems in coding and analyzing the data.
12. Elite interviews
it involves elites that is, well known personalities, prominent and influential people as
respondents. It therefore aims at collecting information that is exclusive and unique to these
informants. That information is very valuable because of the special position of the respondents.
These respondents are quite knowledgeable, not only about interviewing, but also about research
problem.
Soft interview
Here the interviewer guides the respondents without putting any pressure on them.
Hard interview
The interviewer questions the validity and completeness of the answers obtained, often
warning the respondents not to lie and forcing them to give an answer when they hesitate.
In-depth Interview
An in-depth interview is a dialogue between a skilled interviewer and an interviewee. Its
goal is to elicit rich, detailed material that can be used in analysis (Lofland and Lofland, 1995).
It is much less formal than the semi-structured interview. While you have structured
some basic questions on paper, the discussion on the issue is largely free- ranging. When you intend
to collect complex information, containing a high proportion of opinions, attitudes and personal
experiences of the respondents, you go in for in-depth interview.
For an in-depth interview, the sample is kept small. Only a few purposively selected
people are subjected to a detailed interview.
13. Focus Groups
Focus groups combine elements of both interviewing and participant observation.
Use of the group interaction to generate data.
The technique inherently allows observation of group dynamics, discussion, and
firsthand insights into the respondents’ behaviors, attitudes, language, etc.
Focus groups are a gathering of 8 to 12 people who share some characteristics
relevant to the problem.
Focus groups conducted by experts take place in a focus group facility that includes
recording apparatus (audio and/or visual).
Telephone interviews
Telephone interviewing demonstrates the same structural characteristics as standard
interviewing techniques, except that it is conducted by telephone.
These are employed when the interviews are simple and brief, when quick and
inexpensive results are sought, when it is not required to approach the respondent face to face
and when sampling inaccuracies (e.g. non subscribers and unlisted numbers) are not considered
important.
14. Techniques of interviewing
Listening
Ask questions (to follow up and to clarify)
Be respectful of boundaries
Be wary of leading questions
Don’t interrupt
Make the participant feel comfortable
15. Advantages of interviewing
Flexibility & High response rate
Easy administration & Opportunity to observe non-verbal behavior
Control over the environment and order of the questions
Capacity for correcting misunderstandings by respondents: Such an option is very valuable and
not available in other forms of data collection.
Opportunity to record spontaneous answers
Control over the time, date, & place of the interview
More complex questions can be used, because the presence of the interviewer can assist in answering
the questions.
Limitations
Despite the above advantages, interviewing is limited by some factors that cannot be overlooked
Interviews are more costly and time consuming than other methods.
Interviews are affected by the factor, interviewer & the possible bias associated with. Interviewing is
more inconvenient.
It is less effective than other methods, when sensitive issues are discussed.
17. Inquiry form
An enquiry form is away to gather valuable information
and leads from users on the site itself.
The inquiry form itself can have a variety of different
fields, which will be dependent mostly on the industry the
companies and researchers.
Since our subject is based on research problems so we
have to study inquiry in the reference of research. When
we go for data collection we use to ask questions that
means the questionnaires helps in collecting data.
18. Schedule
A schedule is a structure of a set of questions on a
given topic which are asked by the interviewer or
investigator personally.
The order of questions, the language of the questions
and the arrangement of parts of the schedule are not
changed.
However, the investigator can explain the questions if
the respondent faces any difficulty. It contains direct
questions as well as questions in tabular form.
19. Different types of schedule
Village or community schedule: It is used by census
researchers who collect general information on
populations, occupations, etc.
Family or Household schedule: It gives full
demographic details of households, the status of
individuals, data on education, age, family relations,
etc.
Opinion or attitude schedule: To schedule the views
of the population regarding an issue.
20. Questionnaire
• Questionnaires are one of the most popular methods of
conducting research.
• They provide a convenient way to gathering information from
a target population.
• They are cost-effective and easy to construct and analyze.
• A questionnaire is a planned self-reported form designed to
elicit information though written or verbal responses of the
subjects.
• In the words, a questionnaire is a research instrument used for
data collection.
• It is a set of questions that may or may not provide with
response alternatives which are to be answered by subject
21. Definition
A questionnaire is a structured instrument consisting of a
series of data prepared by researcher that a research
subject is asked to complete together data from
individuals about knowledge, attitude, beliefs and
feelings.
The instrument is called a questionnaire or sometimes a
self-administered questionnaire (SAQ),when respondents
complete the instrument themselves, usually in a paper
and pencil format but occasionally directly onto a
computer.
A questionnaire is structured self-report paper and pencil
instrument that a research subject is asked to complete.
22. Types of questions use
Open-format / Open ended questions
Open ended questions are those questions which provide
opportunity to the respondents to express their opinions and
answers in their own way.
Open –format questions have followings characteristics:
There is no predetermined set of responses.
They provide true, insightful and unexpected suggestions
An ideal questionnaire contains open-ended questions towards
the end of all the questions that would ask respondents about
the suggestions for changes or improvements.
Ex: state your opinion about the quality of health care services
in punjab?
23. Closed-format questions
These questions offer respondents a number of
alternative replies, from which the subjects must
choose one that most likely matches the appropriate
answer.
Closed-format questions have following
characteristics:
They facilitate easy statistical calculation of data.
Provide easy preliminary analysis
Can be asked to different groups at different intervals.
Facilitate efficient tracking of opinion.
24. Closed-format questions could be of the
following subtypes-
Dichotomous questions
Multiple-choice questions
Cafeteria questions
Rank order questions
Contingency questions
Rating questions
Importance questions
Likert questions
25. Dichotomous questions
These requires the respondent to make a choice between two
responses such as yes/no or male/female.
Ex: Q) Have you ever been hospitalized?
a) Yes
b) No
Multiple-choice questions
These questions require respondents to make a choice between
more than two response alternatives.
Ex: Q)Which of the following committee work under NABARD
?
a) Siva raman committee
b) Mehta committee
c) Both
d) None
26. Cafeteria questions
These are special type of MCQ’s that ask the respondents to select a
response that most closely corresponds to their views.
Ex: Q) What do you think about performance of extension workers?
a) poor.
b) Excellent
c) Fair
d) Can be better
Rank order questions
These questions ask respondents to rank their responses from most
favorable to least favorable.
Ex: Q) What according to you is most important for your life. Rank
from most favorable to least favorable.
a) Money
b) Education
c) Family
d) Health
27. Contingency questions
A question that is asked further only if the respondents gives a
particular response to previous question.
Ex: Q) Are you stressed?
a) No
b) Yes, if yes what are the reasons ?
Rating questions
These questions ask respondents to judge something along an
ordered dimension.
Respondent is asked to rate a particular issue on a scale that ranges
from Poor to Good.
They may provide a number of choices.
Ex: Q) How you rank the education quality in India?
1 2 3 4
Good Fair Poor Very poor
28. Importance of questions
In this, respondents are asked to rate the importance of a particular issue, on
a rating scale of 1-5. This helps to know that the things/issues that are
important to a respondent.
Ex: Q) Exercising every day is ……..for the health.
Likert question
Likert questions help to know how strongly the respondent agrees with a
particular statement. These questions help to assess how respondent feels
towards a certain issue/ services.
Ex: Q) This community a good place to raise children?
1 2 3 4 5
Extremely
important
Very
important
Some what
important
Not very
important
Not at all
important
1 2 3 4 5
Strongly agree Agree Uncertain Disagree Strongly
disagree
29. Steps of Construction questionnaire
Decide the information required
Define the target respondent
Choose the methods of reaching your target
respondent.
Decide the question content
Develop the question wording.
Put question into a meaningful order and format
Check the length of the questionnaire
Pre-test the questionnaire
Develop the final survey form
30. Decide the information required.
The first step is to decide’ what are the things one needs to know from the
respondent in order to meet the survey’s objective?
Define the target respondent.
At the out set, the researcher must define the population about which he/she
wishes to generalize from the sample data to be collected.
Choose the methods(s) of reaching your target respondent.
Personal interviews
Group or focus interviews
Mailed questionnaires
Telephone interview
Decide the question content
Researcher must always be prepared to ask,” is this question really
needed??
There are only 2 occasions when seemingly ”redundant” might be
included:
Opening questions that are easy to answer.
“Dummy” question can disguise the purpose of that survey and/or the
sponsorship of the study
31. Develop the question wording.
It provide the respondent with an easy method of
indicating his answer- he does not have to think about how
to articulate his answer.
Responses can be easily classified, making analysis very
straight forward
It permits the respondent to specify the answer categories
most suitable for their purpose.
Put question into a meaningful order and format.
Opening questions.
Question flow
Question variety
Closing question
32. Check the length of the questionnaire.
In general it is best for a questionnaire to be as short as
possible.
A long questionnaire leads to a long interview and this is open
to the dangers of boredom on the part of respondent.(and poor
considered, hurried answers)
Pre-test the questionnaire.
Test the questionnaire on a small sample of your subject first
this is possible at least it on colleagues or friends.
The aim here to detect any flaws in your question and correct
these prior to main survey.
Develop the final survey form.
It means designed questionnaire will be administered among
the selected sample respondents to the study.
33. Advantages
Practical
Large amounts of information can be collected from a
large number of people in a short period of time and in a
relatively cost effective way
Can be carried out by the researcher or by any number of
people with limited affect to its validity and reliability
The results of the questionnaires can usually be quickly
and easily quantified by either a researcher or through the
use of a software package
Can be analyzed more 'scientifically' and objectively than
other forms of research
34. Disadvantages
Low response rate.
Questionnaire sent by mail may be filled by someone other than the
intended person.
Questionnaire provide only superficial information. • Probing of response is
not possible.
There are chances of misinterpretation.
People can lie and answer the question vaguely.
People may read differently into each question and therefore reply based on
their own interpretation of the question - i.e. what is 'good' to someone may
be 'poor' to someone else, therefore there is a level of subjectivity that is not
acknowledged
There is a level of researcher imposition, meaning that when developing the
questionnaire, the researcher is making their own decisions and assumptions
as to what is and is not important...therefore they may be missing something
that is of importance Any Question.
35. Conclusion
Interviewing as a data collection method is common for
qualitative research studies. Although methodology may cause
the process of interviewing to differ, many methods are similar.
The researcher must make pre-interview contact, prepare for
the interview by drafting an interview guide, conduct the
interview using good communication skills, oversee
transcription of audiotapes or videotapes, and ensure that the
transcripts provide the basis for analysis. Although the process
of interviewing can be time-consuming and costly, it also can
be a rewarding experience for the researcher.
36. Reference
Dr. Shanti bhushan mishra, Dr. Shashi alok. Hand book of
research methodology(a compodium for scholars & researchs)
educreation publishing.
Syed Muhammad sajjad kabir. methods of data collection.
faculty of social science jagannath university.
K. D. Gangrade. Method of data collection: questionnaire and
schedule. Head, department of social work university of delhi.
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