Socio research methods evaluation table hanan
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hma1Quantitative and qualitative methods both have strengths and weaknesses for collecting data. Quantitative methods use numerical data like statistics that can be analyzed quickly but may lack context. Qualitative methods provide rich descriptive data through documents, observations, and interviews but require more time to analyze. Specific techniques include questionnaires that can reach many people but risk misunderstanding, and interviews that give in-depth personal information but are time-consuming. Both approaches can sometimes be combined to leverage their respective benefits.
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DATA COLLECTION
This document discusses various methods of collecting data for research purposes. It describes primary and secondary data, as well as qualitative and quantitative data. Some key methods of primary data collection that are covered include experiments, surveys, interviews, observation, questionnaires, and schedules. Specific types of interviews like health interviews and health examination surveys are also mentioned. The document also discusses advantages and disadvantages of different data collection methods like personal interviews, telephone interviews, questionnaires, and observation. Factors to consider when selecting a data collection method include the nature, scope and objectives of the study, availability of funds and time constraints.
Overall, the document provides an overview of different approaches to collecting both primary and secondary data to inform research.
Data sources and collection methods
With the help of this powerpoint presentation, Ken Mease, discusses the advantages of various types of data sources and collection methods, including archival and secondary data, survey data, quantitative and qualitative approaches and data, and finally de jure and de facto information. The presentation was held at the Workshop on Governance Assessment Methods and Applications of Governance Data in Policy-Making (June 2009)
Collection of data
This document discusses primary and secondary data sources for collecting information. Primary data is originally collected by the researcher, such as through direct observation, interviews, questionnaires, or surveys. Secondary data has already been collected by other agencies and researchers, such as published government reports, research papers, or unpublished records. When deciding on a data collection method, researchers must consider factors like the study objectives, resources, time availability, and required accuracy. Both primary and secondary data have advantages and limitations that researchers should be aware of to appropriately evaluate and utilize the data.
Primary vs. secondary research ig
This document discusses secondary and primary data collection methods for research. It provides advantages and disadvantages of each. Secondary data involves using existing published information from other sources, while primary data involves direct collection of new data for the specific research purpose. Common primary methods include surveys, experiments, observations and case studies. The document also lists sources of secondary data for the leisure and travel industry and has groups do tasks to collect secondary data from the internet or library.
Where to Find Sources for Primary and Secondary Research?
If you are going to do research check this presentation and find out where to find sources for primary and secondary research. http://www.secondaryresearch.biz/
Data collection methods
Secondary data refers to data that has already been collected by others, while primary data is data that is collected from scratch. Some key points:
- Secondary data can save time and money compared to collecting primary data, though it may have limitations like being outdated, incomplete, or inconsistent.
- Primary data allows collecting exactly what is needed but requires more resources for design, administration, and data handling.
- The best approach is to first identify the research question and necessary data, then see if relevant secondary data exists, and only collect primary data if needed variables are unavailable from other sources.
Survey Research (SOC2029). Seminar 7: ethics in survey research
This document outlines the instructions for the second assignment in a survey research seminar. Students are asked to design their own survey on a topic of their choosing to answer a research question. They must create a self-completion questionnaire of no more than 4 sides of A4 formatted as if for use in the field, along with a 1 page rationale justifying their design choices. The assignment will be assessed based on the students' understanding of survey methodology, the quality of their analysis and defense of the survey design, and the use of literature. The deadline for submission is December 15th at 4pm. The document concludes with allocating time for small group discussion of the assignment instructions.
Ethnography Infographic
Ethnography involves collecting data through observations and interviews of a group in its natural setting. The researcher determines their role and acquires permission to observe a police unit for a month. Field notes are taken and various data collection methods can be used, including observations, interviews, and document analysis. After data collection, common themes are extracted and interpreted to develop a rich understanding of the group's behaviors and context.
Recommended
DATA COLLECTION
This document discusses various methods of collecting data for research purposes. It describes primary and secondary data, as well as qualitative and quantitative data. Some key methods of primary data collection that are covered include experiments, surveys, interviews, observation, questionnaires, and schedules. Specific types of interviews like health interviews and health examination surveys are also mentioned. The document also discusses advantages and disadvantages of different data collection methods like personal interviews, telephone interviews, questionnaires, and observation. Factors to consider when selecting a data collection method include the nature, scope and objectives of the study, availability of funds and time constraints.
Overall, the document provides an overview of different approaches to collecting both primary and secondary data to inform research.
Data sources and collection methods
With the help of this powerpoint presentation, Ken Mease, discusses the advantages of various types of data sources and collection methods, including archival and secondary data, survey data, quantitative and qualitative approaches and data, and finally de jure and de facto information. The presentation was held at the Workshop on Governance Assessment Methods and Applications of Governance Data in Policy-Making (June 2009)
Collection of data
This document discusses primary and secondary data sources for collecting information. Primary data is originally collected by the researcher, such as through direct observation, interviews, questionnaires, or surveys. Secondary data has already been collected by other agencies and researchers, such as published government reports, research papers, or unpublished records. When deciding on a data collection method, researchers must consider factors like the study objectives, resources, time availability, and required accuracy. Both primary and secondary data have advantages and limitations that researchers should be aware of to appropriately evaluate and utilize the data.
Primary vs. secondary research ig
This document discusses secondary and primary data collection methods for research. It provides advantages and disadvantages of each. Secondary data involves using existing published information from other sources, while primary data involves direct collection of new data for the specific research purpose. Common primary methods include surveys, experiments, observations and case studies. The document also lists sources of secondary data for the leisure and travel industry and has groups do tasks to collect secondary data from the internet or library.
Where to Find Sources for Primary and Secondary Research?
If you are going to do research check this presentation and find out where to find sources for primary and secondary research. http://www.secondaryresearch.biz/
Data collection methods
Secondary data refers to data that has already been collected by others, while primary data is data that is collected from scratch. Some key points:
- Secondary data can save time and money compared to collecting primary data, though it may have limitations like being outdated, incomplete, or inconsistent.
- Primary data allows collecting exactly what is needed but requires more resources for design, administration, and data handling.
- The best approach is to first identify the research question and necessary data, then see if relevant secondary data exists, and only collect primary data if needed variables are unavailable from other sources.
Survey Research (SOC2029). Seminar 7: ethics in survey research
This document outlines the instructions for the second assignment in a survey research seminar. Students are asked to design their own survey on a topic of their choosing to answer a research question. They must create a self-completion questionnaire of no more than 4 sides of A4 formatted as if for use in the field, along with a 1 page rationale justifying their design choices. The assignment will be assessed based on the students' understanding of survey methodology, the quality of their analysis and defense of the survey design, and the use of literature. The deadline for submission is December 15th at 4pm. The document concludes with allocating time for small group discussion of the assignment instructions.
Ethnography Infographic
Ethnography involves collecting data through observations and interviews of a group in its natural setting. The researcher determines their role and acquires permission to observe a police unit for a month. Field notes are taken and various data collection methods can be used, including observations, interviews, and document analysis. After data collection, common themes are extracted and interpreted to develop a rich understanding of the group's behaviors and context.
survey techniques
The document discusses various survey techniques used in descriptive research designs. It describes survey methods like telephone interviews, street interviews, and computer-assisted interviews. It covers the administration of questions verbally, in writing, or via computer. Some key pros of surveys include them being simple to administer, having consistent data, and being cost-effective. Potential cons include respondents being unwilling to provide information and errors from unclear questions. The document also discusses different interview formats like personal, mail, and electronic interviews. It provides examples of response rates and costs for some countries. Finally, it outlines factors to consider for evaluating which survey techniques are most appropriate for different situations.
Lesson 5 - Primary Research Methods 1
- Students will learn about primary research methods, differentiating between data and information, and sampling types. They will select appropriate research methods and representative samples.
- The document discusses quantitative and qualitative research methods. Quantitative research uses data collected through surveys and polls, while qualitative research uses information collected through interviews and focus groups.
- Various primary and secondary data collection methods are explained, including surveys, interviews, focus groups, observation techniques, and online data collection.
Types of data and research
There are four main types of data and research methods: primary data, secondary data, qualitative data, and quantitative data. Primary data involves directly collecting information through surveys or questionnaires, while secondary data analyzes previously collected data from other sources. Qualitative data describes information in specific details rather than numbers, and explores topics in depth through interviews. Quantitative data expresses information numerically and can generalize findings to a whole population through statistically valid surveys, but has limited ability to probe answers. Each method has its own pros and cons regarding costs, accuracy, and level of detail obtained.
Data collection methods
Secondary data refers to data that has already been collected by someone else, while primary data is data that is collected by the researcher themselves. Some advantages of using secondary data include not having to reinvent the wheel, saving time and money, and the data may be very accurate if collected by a government agency. However, secondary data can be limited by being outdated, incomplete, or inconsistent over time. Primary data collection allows customizing data to specific research questions but is more time consuming and expensive. Researchers must determine if their question can be answered by existing secondary data or requires new primary data collection.
What is primary data in detail
Primary data is research collected firsthand by an organization and is usually more reliable than secondary data. There are five main methods for collecting primary data: observation, surveys, experiments, schedule method, and collecting data from local agents. Observation involves directly watching people, their actions, and situations. Surveys collect data through asking questions. Experiments test causal relationships by comparing groups with different treatments. The schedule method uses enumerators to collect data from uneducated or non-responsive informants. Local agents who know the local area can also provide reliable primary data.
Instrument to measure primary & secondary data
This document discusses methods for collecting primary and secondary data through observation and questionnaires. It outlines two types of observation - participant and non-participant observation - and notes that observation allows researchers to watch and listen to interactions and phenomena as they occur. Questionnaires are defined as written lists of questions for respondents to answer in writing, and should be clear, easy to understand, in a logical sequence, and visually pleasing.
Primary & secondary data
The document discusses primary and secondary data sources for business research. It examines doctoral dissertations from 1998 to categorize research topics, data collection methods, and data availability. The findings suggest that business research relies heavily on primary data collection despite advantages to also using secondary data. Primary data is collected directly from original sources through methods like surveys and experiments, while secondary data involves collecting existing data from external sources. Each type of data has strengths and weaknesses for research.
Statistics collection of data
Data collection is the process of systematically gathering and measuring information to answer questions and evaluate outcomes. There are three main sources of data: secondary data collected by others, internal data from within an organization, and primary data collected through questioning and observation. Questionnaires can be structured, with predetermined questions and responses, or unstructured, allowing respondents to answer freely in their own words. Properly designing questionnaires requires skill, as researchers must determine what information is needed, the questionnaire type and format, question content and response format, sequencing, and whether it will be disguised or structured. Factors like cover letters, question number, logical arrangement, simplicity, sensitivity, instructions, footnotes, objectivity, calculations, pre-testing, cross-
Qualitative vs quantitative data
This document discusses the differences between qualitative and quantitative data and their respective pros and cons. Qualitative data comes from open-ended questions while quantitative data is numerical. Qualitative data provides more detailed answers but from fewer participants, while quantitative data allows for easier comparisons but is more difficult to analyze as words. The author chooses to use a quantitative questionnaire for their project to directly get answers about color schemes.
Lesson 4 secondary research 2
This document outlines a lesson plan on research methods. It discusses the key differences between primary and secondary research approaches and sources. It also distinguishes between quantitative and qualitative research methods. The document provides guidance on evaluating secondary sources and discusses appropriate uses of internet sources for research. It provides examples of exercises for students to apply their learning, involving conducting research to address topics related to fashion, marketing, design, and architecture.
Methods and Data Collection
This document discusses different methods of data collection and community engagement. It outlines 7 main forms of data: 1) administrative/published quantitative data, 2) original survey data, 3) spatial/map data, 4) focus group data, 5) interview data, 6) ethnographic/participant observation data, and 7) visual data. For each form of data, it describes examples of community engagement, general strengths, and general weaknesses. It emphasizes the importance of community involvement in defining research questions, data collection and analysis, and disseminating results. The document also briefly discusses mixed methods research and the principle of triangulation.
Understanding ICPSR's Research Methods-related Metadata
This presentation is to be given at the 2015 ICPSR Official Representatives meeting. It is a workshop for those with little to no statistical or research methods background but who need to assist others in finding data appropriate for their research projects.
Collection of data
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Research Methods
This document discusses and compares qualitative and quantitative research methods. It outlines two main types of research methods: qualitative and quantitative. Qualitative methods are used to gather rich, detailed data through tools like interviews, focus groups, and observation. Quantitative methods are used to gather numeric data through surveys and questionnaires to quantify attitudes and behaviors. Both methods are useful for research, but qualitative explores phenomena while quantitative identifies patterns in large populations.
Sociological research 2.4 to 2.6
This document outlines the sociological research process in 3 units:
1. Developing aims/hypotheses and conducting pilot studies to test research methods
2. Selecting samples through various probability and non-probability sampling techniques
3. Collecting and analyzing both primary and secondary quantitative and qualitative data.
Step Up Your Survey Research - Dawn of the Data Age Lecture Series
Most surveys are terrible. From poorly designed questions, to incoherent survey flow, to useless results, it’s no wonder data-driven organizations have so little faith in survey research. But this isn’t the fault of the tool, it’s because most surveys are built without adhering to some basic best practices, which once fixed can transform any survey from a zero to a hero. This lecture will show you how to create data-science quality surveys that provide unique and immediately actionable insight about your customers, competitors, and marketplace.
This Lecture Will:
-EXPLAIN THE DATA SCIENCE APPROACH TO SURVEY LAYOUT AND QUESTION DESIGN.
-HOW TO INCREASE RESPONSE AND COMPLETION RATES THROUGH ITERATIVE TESTING.
-LINKING SURVEY RESULTS TO OTHER DATA SOURCES TO ENRICH YOUR ANALYSIS.
You can watch this lecture here: https://youtu.be/WuBenXuVzqc
Qualitative Research Proposal
This document outlines the plans for a new study on how and why young adults multitask. The study will expand on an initial study of teens' ability to multitask with digital media. It will interview 30 randomly selected males and females ages 15 to 18 from 6 public schools. Researchers will observe students for a minimum of 3 hours at each school and conduct qualitative interviews without a strict structure but focusing on what multitasking means to them, how they do it, and how it affects their school and social lives. Interviews will be recorded, transcribed, and coded along with observation notes to identify core concepts.
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In this PPT I have explained the collection of data topic for class 11 students. Teachers can use it as a teaching aid.
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The document discusses quantitative and qualitative research methods. Quantitative research aims to quantify data by using structured tools like questionnaires to collect numerical data from large samples that can be statistically analyzed. It focuses on objectively testing hypotheses. Qualitative research collects non-numerical data like descriptions through methods such as interviews and observations to understand peoples' experiences. It focuses on exploring topics in-depth. The document also compares surveys and questionnaires, describing their differences and advantages and disadvantages of various survey methods.
data collection methods
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Sociology Unit 2 Research Methods (AQA)
This document discusses different research methods and concepts in social research. It contrasts qualitative and quantitative data, as well as primary and secondary data. It also outlines different sampling techniques including random, stratified, snowball and opportunity sampling. Additionally, it examines research methods such as experiments, surveys, interviews and observation. It discusses issues of research design including structured versus unstructured techniques as well as individual versus group settings. Finally, it touches on longitudinal research, triangulation, and using documents and statistics in social science research.
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survey techniques
The document discusses various survey techniques used in descriptive research designs. It describes survey methods like telephone interviews, street interviews, and computer-assisted interviews. It covers the administration of questions verbally, in writing, or via computer. Some key pros of surveys include them being simple to administer, having consistent data, and being cost-effective. Potential cons include respondents being unwilling to provide information and errors from unclear questions. The document also discusses different interview formats like personal, mail, and electronic interviews. It provides examples of response rates and costs for some countries. Finally, it outlines factors to consider for evaluating which survey techniques are most appropriate for different situations.
Lesson 5 - Primary Research Methods 1
- Students will learn about primary research methods, differentiating between data and information, and sampling types. They will select appropriate research methods and representative samples.
- The document discusses quantitative and qualitative research methods. Quantitative research uses data collected through surveys and polls, while qualitative research uses information collected through interviews and focus groups.
- Various primary and secondary data collection methods are explained, including surveys, interviews, focus groups, observation techniques, and online data collection.
Types of data and research
There are four main types of data and research methods: primary data, secondary data, qualitative data, and quantitative data. Primary data involves directly collecting information through surveys or questionnaires, while secondary data analyzes previously collected data from other sources. Qualitative data describes information in specific details rather than numbers, and explores topics in depth through interviews. Quantitative data expresses information numerically and can generalize findings to a whole population through statistically valid surveys, but has limited ability to probe answers. Each method has its own pros and cons regarding costs, accuracy, and level of detail obtained.
Data collection methods
Secondary data refers to data that has already been collected by someone else, while primary data is data that is collected by the researcher themselves. Some advantages of using secondary data include not having to reinvent the wheel, saving time and money, and the data may be very accurate if collected by a government agency. However, secondary data can be limited by being outdated, incomplete, or inconsistent over time. Primary data collection allows customizing data to specific research questions but is more time consuming and expensive. Researchers must determine if their question can be answered by existing secondary data or requires new primary data collection.
What is primary data in detail
Primary data is research collected firsthand by an organization and is usually more reliable than secondary data. There are five main methods for collecting primary data: observation, surveys, experiments, schedule method, and collecting data from local agents. Observation involves directly watching people, their actions, and situations. Surveys collect data through asking questions. Experiments test causal relationships by comparing groups with different treatments. The schedule method uses enumerators to collect data from uneducated or non-responsive informants. Local agents who know the local area can also provide reliable primary data.
Instrument to measure primary & secondary data
This document discusses methods for collecting primary and secondary data through observation and questionnaires. It outlines two types of observation - participant and non-participant observation - and notes that observation allows researchers to watch and listen to interactions and phenomena as they occur. Questionnaires are defined as written lists of questions for respondents to answer in writing, and should be clear, easy to understand, in a logical sequence, and visually pleasing.
Primary & secondary data
The document discusses primary and secondary data sources for business research. It examines doctoral dissertations from 1998 to categorize research topics, data collection methods, and data availability. The findings suggest that business research relies heavily on primary data collection despite advantages to also using secondary data. Primary data is collected directly from original sources through methods like surveys and experiments, while secondary data involves collecting existing data from external sources. Each type of data has strengths and weaknesses for research.
Statistics collection of data
Data collection is the process of systematically gathering and measuring information to answer questions and evaluate outcomes. There are three main sources of data: secondary data collected by others, internal data from within an organization, and primary data collected through questioning and observation. Questionnaires can be structured, with predetermined questions and responses, or unstructured, allowing respondents to answer freely in their own words. Properly designing questionnaires requires skill, as researchers must determine what information is needed, the questionnaire type and format, question content and response format, sequencing, and whether it will be disguised or structured. Factors like cover letters, question number, logical arrangement, simplicity, sensitivity, instructions, footnotes, objectivity, calculations, pre-testing, cross-
Qualitative vs quantitative data
This document discusses the differences between qualitative and quantitative data and their respective pros and cons. Qualitative data comes from open-ended questions while quantitative data is numerical. Qualitative data provides more detailed answers but from fewer participants, while quantitative data allows for easier comparisons but is more difficult to analyze as words. The author chooses to use a quantitative questionnaire for their project to directly get answers about color schemes.
Lesson 4 secondary research 2
This document outlines a lesson plan on research methods. It discusses the key differences between primary and secondary research approaches and sources. It also distinguishes between quantitative and qualitative research methods. The document provides guidance on evaluating secondary sources and discusses appropriate uses of internet sources for research. It provides examples of exercises for students to apply their learning, involving conducting research to address topics related to fashion, marketing, design, and architecture.
Methods and Data Collection
This document discusses different methods of data collection and community engagement. It outlines 7 main forms of data: 1) administrative/published quantitative data, 2) original survey data, 3) spatial/map data, 4) focus group data, 5) interview data, 6) ethnographic/participant observation data, and 7) visual data. For each form of data, it describes examples of community engagement, general strengths, and general weaknesses. It emphasizes the importance of community involvement in defining research questions, data collection and analysis, and disseminating results. The document also briefly discusses mixed methods research and the principle of triangulation.
Understanding ICPSR's Research Methods-related Metadata
This presentation is to be given at the 2015 ICPSR Official Representatives meeting. It is a workshop for those with little to no statistical or research methods background but who need to assist others in finding data appropriate for their research projects.
Collection of data
The document discusses statistical enquiry and methods for collecting data. It describes the different sources of data, both internal and external to an organization. External primary data is collected directly by the investigator through methods like surveys, while secondary data comes from existing published and unpublished sources. The document also discusses sampling methods like random sampling and their merits and demerits compared to a full census. The goal of statistical analysis is to reach solutions to economic problems but there may be statistical errors in the estimated values from collected data versus actual values.
Research Methods
This document discusses and compares qualitative and quantitative research methods. It outlines two main types of research methods: qualitative and quantitative. Qualitative methods are used to gather rich, detailed data through tools like interviews, focus groups, and observation. Quantitative methods are used to gather numeric data through surveys and questionnaires to quantify attitudes and behaviors. Both methods are useful for research, but qualitative explores phenomena while quantitative identifies patterns in large populations.
Sociological research 2.4 to 2.6
This document outlines the sociological research process in 3 units:
1. Developing aims/hypotheses and conducting pilot studies to test research methods
2. Selecting samples through various probability and non-probability sampling techniques
3. Collecting and analyzing both primary and secondary quantitative and qualitative data.
Step Up Your Survey Research - Dawn of the Data Age Lecture Series
Most surveys are terrible. From poorly designed questions, to incoherent survey flow, to useless results, it’s no wonder data-driven organizations have so little faith in survey research. But this isn’t the fault of the tool, it’s because most surveys are built without adhering to some basic best practices, which once fixed can transform any survey from a zero to a hero. This lecture will show you how to create data-science quality surveys that provide unique and immediately actionable insight about your customers, competitors, and marketplace.
This Lecture Will:
-EXPLAIN THE DATA SCIENCE APPROACH TO SURVEY LAYOUT AND QUESTION DESIGN.
-HOW TO INCREASE RESPONSE AND COMPLETION RATES THROUGH ITERATIVE TESTING.
-LINKING SURVEY RESULTS TO OTHER DATA SOURCES TO ENRICH YOUR ANALYSIS.
You can watch this lecture here: https://youtu.be/WuBenXuVzqc
Qualitative Research Proposal
This document outlines the plans for a new study on how and why young adults multitask. The study will expand on an initial study of teens' ability to multitask with digital media. It will interview 30 randomly selected males and females ages 15 to 18 from 6 public schools. Researchers will observe students for a minimum of 3 hours at each school and conduct qualitative interviews without a strict structure but focusing on what multitasking means to them, how they do it, and how it affects their school and social lives. Interviews will be recorded, transcribed, and coded along with observation notes to identify core concepts.
Collection of Data - Class 11 - Statistics
In this PPT I have explained the collection of data topic for class 11 students. Teachers can use it as a teaching aid.
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Types of data and research
There are three main types of data for research: primary data, secondary data, and qualitative data. Primary data involves directly collecting information through surveys or questionnaires, but it requires conducting the research yourself. Secondary data analyzes previously collected data, which is quicker and easier to access for free, but the information may not be tailored to your needs or accurate. Qualitative data describes characteristics through flexible interviews with small samples, allowing for depth, but the findings cannot be generalized to larger audiences. Quantitative data involves statistically valid surveys to generalize results to populations, but has limitations in probing answers and potential response biases.
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Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
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Research Methodology Basics-II
This document discusses research methodology, specifically focusing on methods for collecting primary and secondary data. It defines primary data as original data collected by the researcher, while secondary data is already existing data collected by others. Some key methods for collecting primary data discussed include direct personal observation, indirect oral interviews, collecting information through agencies, mailed questionnaires, and using enumerators to distribute schedules. Sources of secondary data include government publications, research institutions, commercial/financial institutions, and unpublished records. The document also covers case study methodology, defining it as an intensive examination of a single unit or case and outlining its characteristics and limitations.
Primary research wod
There are 4 main types of primary research: interviews, surveys, questionnaires, and focus groups. Primary research involves collecting original data through methods like experiments and direct observations. It allows researchers to focus on specific issues and control the research design but is more expensive and time-consuming than secondary research. Secondary research uses already existing information from sources like books, articles, and the internet. It is quicker and less expensive than primary research but the data may be biased, incomplete, or out of date. Both qualitative and quantitative research methods have advantages and disadvantages depending on the research goals. Quantitative research uses statistical analysis to study relationships between variables while qualitative looks at more descriptive, contextual details.
Similar to Socio research methods evaluation table hanan (20)
Quantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarak
Share MED3-DATA COLLECTION AND PRESENTATION(METHODS OF DATA) PPT.pptx
Share MED3-DATA COLLECTION AND PRESENTATION(METHODS OF DATA) PPT.pptx
Share MED3-DATA COLLECTION AND PRESENTATION(METHODS OF DATA) PPT.pptx
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Evaluation question one final
Our media product challenges some conventions of folk rock music videos while adhering to others. We kept the band members stationary while performing and did not include intertextual references. However, we challenged conventions regarding the treatment of females by not objectifying the one female character featured. Close-ups of the artists were used to highlight emotional lyrics as is typical in folk rock videos.
Evalquestiononepp080212
The document discusses conventions and techniques used in folk rock music videos. It notes that artists are typically shown performing alone in natural settings like forests or fields. Visuals are usually illustrative or amplifying of song lyrics. Close-ups of the artist are common to promote them as the brand. Artists usually have longer hair and wear simple, minimalist costumes. Movement in videos tends to be slow and subtle rather than dramatic. The positioning of band members is usually equal without one person in the foreground. Intertextuality with other works is rare in keeping with the genre's focus on original songwriting.
Eval question one pp 070212
The document discusses conventions and techniques used in folk rock music videos. It notes that artists are typically shown performing alone in natural settings like forests or fields. Visuals are usually illustrative or amplifying of song lyrics. Close-ups of the artist are common to promote them as the brand. Artists usually have longer hair and wear simple, minimalist costumes. Movement in videos tends to be slow and languid rather than dramatic. Editing usually moves in time with the music. The document provides examples of how the student's video both uses, develops and challenges some conventions of the genre.
Ev question one 020212
The document discusses conventions and characteristics of folk rock music videos. It analyzes how several videos use, develop, or challenge conventions. Key points:
1) Videos often show the artist alone performing in nature to highlight the music and depict the artist as introspective.
2) Visuals are usually illustrative of lyrics but sometimes amplify meanings. Relationships between music and visuals can be illustrative or develop meanings.
3) Record labels demand close-ups of artists to make them recognizable brands. Long hair on male artists implies authenticity from life experience.
Evaluation tasks hanan
This document outlines evaluation tasks and questions for a media production project on a band called "Jamie Thorn & The Mystery Pacific". It discusses how the group's music video, digipak, and magazine advert complement each other through consistent branding elements. Feedback was gathered from audiences but not detailed. A variety of new media technologies were used at different stages of the project, including online sharing platforms, video/audio recording and editing software, and research sites.
Audience feedback questions
The document contains 8 questions asking for feedback on various aspects of a folk rock music video that was created, including the quality of filming, editing, resemblance to a real music video in the genre, pacing and syncing of visuals with music and lyrics, identified theme, suitability of shot content to the theme, appealing aspects of the style and content, and suggestions for improvement if remaking the video. It also contains 2 additional questions about the layout, content, clarity of information, and impression given by a digipak and advertisement.
Ev question one pp
The document discusses conventions and characteristics of folk rock music videos. It analyzes how our media product uses, develops, or challenges these conventions through its visuals and narrative. Our video shows the band playing surrounded by nature, keeping with conventions of folk artists depicted as close to nature. The visuals are sometimes illustrative of lyrics and sometimes amplify their meaning. The relationship between music and visuals is developed, with camera movements emphasizing parts of the song. Our video focuses on the artist through close-ups while keeping costumes simple, following conventions that draw attention to the music.
Evaluation tasks
This document contains evaluation tasks related to a media production project for a band called "Jamie Thorn & The Mystery Pacific". The tasks include: [1] Analyzing how the media product uses, develops or challenges real media conventions; [2] Assessing how effective the main product and ancillary texts like a digipak and magazine ad work together; [3] Learning from audience feedback; and [4] Exploring the use of new media technologies in production.
Evaluation tasks
This document outlines four evaluation tasks for a media production project:
1. Analyze how the media product uses, develops, or challenges conventions of real media products.
2. Assess how effectively the main product and ancillary texts like a digipak and magazine ad work together.
3. Consider what was learned from audience feedback.
4. Describe how new media technologies were used in construction, research, planning and evaluation.
A2media evaluation task one table
This document compares the conventions of folk rock music videos to the student's own music video production. It finds that the student's video used many typical conventions, such as showing the band performing in a natural rural setting surrounded by trees and fields. It also finds that the student's video developed some conventions by having the music and visuals amplify each other rather than just illustrating the lyrics, such as when the music sped up as the man leapt into the sea. The document analyzes several examples of professional folk rock music videos and identifies their conventions around performance style, nature settings, relationships between music, lyrics and visuals, close-ups of artists, and notions of voyeurism.
Ta pie charts3
The research found that audiences prefer the concept over performance or narrative in folk videos, discover new folk artists mostly through radio and friends/family, and watch folk music videos exclusively on YouTube. Audiences reported usually seeing the artist performing in folk videos, and album covers typically feature photographs of nature, animals or the artist/band.
Digipak research last 2
The document provides details about researching and analyzing Digipak album covers for five folk rock bands: Cat Stevens, Laura Marling, Bon Iver, Mumford & Sons, and Simon & Garfunkel. It notes that folk rock album art often features hand-drawn or painted artwork rather than photographs. It then analyzes elements of the album covers like fonts, colors, backgrounds, and depictions of the artists that market them as introspective, wise, and connected to nature in keeping with folk rock themes.
Digipak research last
This document discusses digipak album packaging for folk rock music. It provides details on what a digipak is and how it offers more creative design options than a jewel case. Research was conducted on the album art of 5 folk rock bands - Cat Stevens, Laura Marling, Bon Iver, Mumford & Sons, and Simon & Garfunkel. Most of their album covers featured hand-drawn or painted art rather than photographs, marketing the artist as having natural talent rather than relying on technology. This style of album art matches the folk rock genre's themes of being in touch with nature.
Ta pie charts
The majority (60%) of folk/folk rock fans prefer the concept over performance or narrative for music videos. Friends and family have the most influence (25%) on learning about new artists, followed by radio (21%). Nearly all (100%) fans watch folk music videos on YouTube rather than other platforms like MTV.
Band script 3
This document provides a script and filming directions for a music video. It includes the lyrics divided into verses and choruses, along with camera shots and angles to depict the performance and story being told in the song. The song tells the story of a soldier reflecting on fighting in war and losing friends, as well as the pressure to serve one's country. It ends with him wishing he had died among his friends rather than surviving alone.
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Socio research methods evaluation table hanan
- 1. Quantitative methods: gather data which can be measured e.g. in numerical form as statistics, percentages etc.Official statistics: statistics published by the government, from research funded and carried out by the government.ExperimentsStrengths…fast to analyse data; preferred by positivists; methodology is easily replicable to check reliability of results.Strengths…as they’re well funded and are usually nation-wide, data tends to representative of the population which also makes it generalizable to a certain extent.Strengths…Weaknesses…not wanted by interpretivists; do not give researcher a good understanding of the situation’s context; limited outcomes e.g. for closed questions.Weaknesses...as the research is government funded, the methodology and write up of results may not be entirely objective.Weaknesses…Qualitative methods: gather data which is rich in detail, descriptive, and is difficult to measure. Non-numeric information e.g. audio, video, text, conversation etc.DocumentsObservations (participant and non-participant): to watch and take note of what happens, by either participating or watching as a non-participant, from the outside looking in and not taking part of activities.Strengths…good for interpretivists; gives rich detailed data; gives context for behaviour that may not have been previously understood by the researcher.Strengths…Strengths…participant observation greatly helps a researcher to understand the subcultures of the people being researched, by being immersed in it themself.Weaknesses…not wanted by positivists; time consuming to analyse. The data given by the respondent may go off topic.Weaknesses…Weaknesses…participant observation is usually covert, which is an ethical issue, and the people being researched may after debriefing decide to withdraw their data completely rendering the entire research wasted. There’s also a risk of going native, the researcher losing objectivity. However, non participant observation may cause demand characteristics in the people being researched.Both quantitative and qualitative: see above.Questionnaires: a written list of set questions.Interviews: a conversation between two people in which one questions the other to obtain information from them.Strengths…Occasionally the two can be combined e.g. with content analysis, descriptive information can be given a numerical value and then be measured, thus reaping the benefits of both approaches.Strengths…closed questionnaires are much faster to do than interviews, as well as analyse; can be given to large numbers of people all at once.Strengths…can give very rich qualitative data. If a good rapport is built then interviewee may disclose a greater deal of personal/honest information, aiding research further.Weaknesses…gathering data for yourself is much more time consuming to carry out as well as analyse because it’s primary data – it would be easier to simply use secondary data e.g. official statistics.Weaknesses…participants may misunderstand the questions, answer with something irrelevant or even skip questions; not everyone returns all of the questionnaires either.Weaknesses…prone to researcher bias; social desirability may affect answers so they are not completely honest; necessary to build rapport with researcher and not all researchers have social skills as would be needed for this; time consuming to analyse.<br />