Reducing Response Burden
•
1 like•434 views
Fred Oswald and Jeff Stanton are experts in reducing response burden in surveys through various statistical and technological methods. Their goals are to reduce administration time and costs, increase response rates, and decrease fatigue while maintaining reliability. Their approaches include reducing instructions, removing redundant items, distributing items across subgroups, and using automation. Their research examines determining efficient item assignments, evaluating when precision is lost by reducing content, analyzing item relationships, and stakeholder reactions. Their expertise involves examining tools to inform practical survey development goals.
Report
Share
Report
Share
Recommended
Qualitative vs Quantitative
This document compares and contrasts quantitative and qualitative research methodologies. It outlines key differences in their characteristics and criteria. Quantitative research is described as formal, objective, and deductive, relying on experimental data collection and statistical analysis. Qualitative research is informal, subjective, and inductive, using interpretive methods like interviews and observations to understand perspectives. Each type of methodology is best suited for different types of research questions and disciplinary usages.
Data Collection and Analysis Tools
Data collection and analysis tools refer to methods used to systematically gather and examine information. This includes statistical software packages, specialized computer programs, and online testing systems. Popular tools include SPSS, Stata, and R programming language. Computer-based testing systems allow electronic assessment and tracking of student performance. Electronic gradebooks make it easy for teachers to calculate and track student grades digitally. Student response systems engage students in real-time feedback and assessments through interactive technology. Online testing with feedback immediately informs students of correct answers and provides explanations.
Survey Research
The document discusses various topics related to conducting survey research including preparing surveys, touch avoidance research, activism research, and addressing potential biases. It suggests three general ways to develop surveys including using existing surveys, adapting published research surveys, or generating your own. Touch avoidance research examined whether sexual orientation affects same-sex and cross-sex touch avoidance using modified established scales. Activism research developed a survey from narrative accounts and addressed length and reliability issues. The document also notes the importance of considering demographic categories and question construction to avoid potential biases in surveys.
Survey research
Survey research involves administering standardized questionnaires to a sample of respondents to collect data on a population. There are various types of surveys including written, oral, and electronic. Key steps in survey research include designing the survey, conducting the survey using probability or nonprobability sampling methods, analyzing the survey results using statistical techniques, and reporting the findings. Surveys are a relatively inexpensive way to collect data from large populations but require an initial study design and high response rates to be effective.
How to conduct systematic literature review
The slides show how to conduct systematic literature review (SLR) in any field of research. It is highly important that any SLR should ultimately highlight potential future directions and research gaps so that prospect researchers may focus on those particular areas.
2.research design (distribution)
This document discusses research design and methodology. It outlines the purposes of research as exploration, description, and explanation. It distinguishes between quantitative and qualitative research, noting that quantitative research focuses on measurement, causality, generalization, and replication while qualitative research emphasizes seeing through participants' eyes and understanding context and process. The document stresses that research design and methodology are determined by the problem statement and research question. It lists key elements to consider in research design such as points of focus, time, and feasibility.
2.research design (distribution)
This document discusses research design and methodology. It outlines the purposes of research as exploration, description, and explanation. It distinguishes between quantitative and qualitative research, noting that quantitative research focuses on measurement, causality, generalization, and replication while qualitative research emphasizes seeing through participants' eyes and understanding context and process. The document stresses that research design and methodology are determined by the problem statement and research question. It lists important elements to consider in research design such as points of focus, time, and feasibility.
Quantitativeandqualitativeresearch 100120032723-phpapp01
This document provides an overview of the key differences between quantitative and qualitative research. Quantitative research involves collecting numerical data to objectively test hypotheses, while qualitative research relies on collecting text or image data from participants to understand their subjective experiences. The stages of research are also compared, with quantitative research using predetermined questions and large sample sizes, and qualitative research using emerging questions and smaller sample sizes. Common research designs are also outlined for each approach.
Recommended
Qualitative vs Quantitative
This document compares and contrasts quantitative and qualitative research methodologies. It outlines key differences in their characteristics and criteria. Quantitative research is described as formal, objective, and deductive, relying on experimental data collection and statistical analysis. Qualitative research is informal, subjective, and inductive, using interpretive methods like interviews and observations to understand perspectives. Each type of methodology is best suited for different types of research questions and disciplinary usages.
Data Collection and Analysis Tools
Data collection and analysis tools refer to methods used to systematically gather and examine information. This includes statistical software packages, specialized computer programs, and online testing systems. Popular tools include SPSS, Stata, and R programming language. Computer-based testing systems allow electronic assessment and tracking of student performance. Electronic gradebooks make it easy for teachers to calculate and track student grades digitally. Student response systems engage students in real-time feedback and assessments through interactive technology. Online testing with feedback immediately informs students of correct answers and provides explanations.
Survey Research
The document discusses various topics related to conducting survey research including preparing surveys, touch avoidance research, activism research, and addressing potential biases. It suggests three general ways to develop surveys including using existing surveys, adapting published research surveys, or generating your own. Touch avoidance research examined whether sexual orientation affects same-sex and cross-sex touch avoidance using modified established scales. Activism research developed a survey from narrative accounts and addressed length and reliability issues. The document also notes the importance of considering demographic categories and question construction to avoid potential biases in surveys.
Survey research
Survey research involves administering standardized questionnaires to a sample of respondents to collect data on a population. There are various types of surveys including written, oral, and electronic. Key steps in survey research include designing the survey, conducting the survey using probability or nonprobability sampling methods, analyzing the survey results using statistical techniques, and reporting the findings. Surveys are a relatively inexpensive way to collect data from large populations but require an initial study design and high response rates to be effective.
How to conduct systematic literature review
The slides show how to conduct systematic literature review (SLR) in any field of research. It is highly important that any SLR should ultimately highlight potential future directions and research gaps so that prospect researchers may focus on those particular areas.
2.research design (distribution)
This document discusses research design and methodology. It outlines the purposes of research as exploration, description, and explanation. It distinguishes between quantitative and qualitative research, noting that quantitative research focuses on measurement, causality, generalization, and replication while qualitative research emphasizes seeing through participants' eyes and understanding context and process. The document stresses that research design and methodology are determined by the problem statement and research question. It lists key elements to consider in research design such as points of focus, time, and feasibility.
2.research design (distribution)
This document discusses research design and methodology. It outlines the purposes of research as exploration, description, and explanation. It distinguishes between quantitative and qualitative research, noting that quantitative research focuses on measurement, causality, generalization, and replication while qualitative research emphasizes seeing through participants' eyes and understanding context and process. The document stresses that research design and methodology are determined by the problem statement and research question. It lists important elements to consider in research design such as points of focus, time, and feasibility.
Quantitativeandqualitativeresearch 100120032723-phpapp01
This document provides an overview of the key differences between quantitative and qualitative research. Quantitative research involves collecting numerical data to objectively test hypotheses, while qualitative research relies on collecting text or image data from participants to understand their subjective experiences. The stages of research are also compared, with quantitative research using predetermined questions and large sample sizes, and qualitative research using emerging questions and smaller sample sizes. Common research designs are also outlined for each approach.
Web Assisted Assessment of Professional Behaviour
Presentation given by Dr Christopher Stokes to the Dental Education Journal Club on 16 July 2013. Discussion of the following paper:
Van Mook, W. N. K. a, Muijtjens, A. M. M., Gorter, S. L., Zwaveling, J. H., Schuwirth, L. W., & Van der Vleuten, C. P. M. (2012). Web-assisted assessment of professional behaviour in problem-based learning: more feedback, yet no qualitative improvement? Advances in health sciences education : theory and practice, 17(1), 81–93. doi:10.1007/s10459-011-9297-0
Quantitative data analysis - Attitudes Towards Research
This presentation aims to analyze survey data on attitudes towards research. However, the data set has limitations like missing key demographic details and being an opportunistic sample of 50 respondents. While the data could still be analyzed, issues are identified like ambiguous questions and a lack of raw data. Better approaches for analysis include categorizing roles, formatting questions clearly, and applying statistical tests to check for significance. Presenting findings would require directly answering the research question, conclusions, and validating interpretations with supporting data and considering alternatives.
Coursework Evaluation
The document discusses evaluating investigations by assessing the strengths and weaknesses of data collection methods, the accuracy of results, and validity of conclusions. Effective evaluations observe how limitations of methods likely impacted conclusions. Weaker ones simply list problems. Higher levels of evaluation clearly link method limitations to inaccurate results and how these could lead to invalid conclusions. Evaluators should consider questions like how well data addressed the aims, whether different collection methods could improve accuracy and usefulness, and how problems may have affected conclusions. The key is linking the three evaluative elements of methods, accuracy, and conclusions.
Comparative and Non-Comparative
This document summarizes and compares two studies: a comparative study and a non-comparative study. The comparative study compared the effects of multimedia instruction versus lectures for Chinese learning among 41 students in Taiwan. It found no significant differences but that multimedia instruction led to slightly better performance. The non-comparative study examined factors influencing achievement in web-based courses among 99 students in the US. Unexpectedly, it found that learning styles and characteristics did not affect web-based learning achievement. Both studies had limitations such as small sample sizes and relying on self-reported data.
Survey research
The document discusses survey research methods. It defines surveys as a method used to collect data from a sample of individuals through questionnaires or interviews to make inferences about a population. The key steps of survey design are outlined, including developing hypotheses, writing questions, sampling, data collection, analysis, and reporting findings. Advantages of surveys include wide scope and low cost, while limitations include superficiality and response biases. Surveys are useful for exploratory, descriptive, and explanatory research.
Basics of Systematic Review and Meta-analysis: Part 1
This document discusses the basics of conducting a systematic review and meta-analysis, including choosing a novel and interesting topic where evidence is still unclear, writing a protocol according to PRISMA-P guidelines and registering the review, searching various databases and other sources for literature, developing a search strategy and flowchart for study selection, and ensuring an exhaustive literature review by obtaining full texts and contacting authors and experts for unpublished work or additional data.
Research
The document discusses research and data collection by the WESTOP organization. It defines research and describes types of research such as quantitative and qualitative research. It discusses why research is important for accountability and effectiveness. It also discusses the US Department of Education's emphasis on randomized controlled trials as the most rigorous research design. The document outlines WESTOP's plan to initially collect prior experience data from participants and potentially collect additional longitudinal data to analyze program effectiveness.
Ch05 instrumentation
This chapter discusses selecting and using measuring instruments in educational research. It covers key terminology related to data collection and measurement, different types of instruments including cognitive, achievement, aptitude and affective tests. The chapter also addresses important technical issues in using instruments, specifically validity which refers to the appropriateness of interpretations from test scores, and reliability which refers to a test's consistency. It describes different aspects of validity and reliability and factors that can influence them. Finally, the chapter outlines six common reliability coefficients and considerations for selecting a suitable test.
Research design and methodology infosheet
This document discusses different aspects of research methods, including:
1. The different types of research methods such as pure theory, descriptive studies, exploratory studies, and quantitative vs qualitative research methods.
2. Specific research methods like action research, case studies, surveys, and experiments are described.
3. Key elements of research are outlined, including the research method, framework, data gathering tools, population, and statistical treatment.
Data collection
Data collection in research involves systematically gathering factual information to test hypotheses or answer research questions. There are two main types of data: primary data collected directly by researchers through methods like surveys and interviews, and secondary data previously collected by others. The document outlines purposes of data collection like research design and sampling, as well as methods for primary data collection including questionnaires, interviews, focus groups, observation, and case studies. Both primary and secondary data have advantages and disadvantages for research.
Action Research Pd
Action research involves teachers systematically examining their own practices by identifying an area of focus or question, collecting relevant information to answer the question, analyzing the information, and sharing results. The process helps improve teaching practices through planned, cyclical inquiry. Some key aspects of action research include developing open-ended, meaningful questions; collecting multiple sources of direct, relevant data; analyzing data for themes and redundancies; and sharing results which can lead to further questions or interpretations.
Mary ch2 presentation
This chapter discusses research problems in quantitative and qualitative research. Quantitative research problems involve variables, relationships between variables, and populations. They aim to describe, compare, or determine causes. Qualitative research problems focus on central phenomena like issues or processes through questions of how or what. The chapter also covers identifying variables, forming hypotheses, and developing qualitative research questions.
Challenges and opportunities in research evaluation: toward a better evaluati...
Prof Sergio Benedetto's keynote address from the ORCID and Casrai joint conference, Barcelona, May 2015
Steps in research process
The document outlines the 10 key steps in the research process:
1. Selecting a research topic and defining the problem.
2. Specifying the research objectives.
3. Developing a research design and determining what information is required.
4. Designing methods to collect primary and secondary data, such as through surveys.
5. Analyzing and interpreting the results to draw conclusions.
6. Preparing a final research report to communicate the findings to clients.
Questionnaire2002
This document provides an overview of quantitative research methods using questionnaires. It defines questionnaires, discusses criticisms and advantages/disadvantages of survey methods. It also outlines common problems in management information systems (MIS) research using surveys, steps for designing and conducting a survey, methods of distribution, examples of questionnaires used in information systems research, and concludes with summarizing considerations for using mixed survey distribution modes.
Mixed method research
Mixed methods research involves collecting and analyzing both quantitative and qualitative data within a single study or series of studies. This approach allows researchers to understand research problems more fully than using either quantitative or qualitative methods alone. Researchers can collect quantitative data through methods like questionnaires, surveys, and attendance records, and qualitative data through interviews, observations, and document analysis. The mixed methods design considers the priority and sequence of quantitative and qualitative data collection and analysis. Reasons for using a mixed methods approach include explaining and interpreting results, exploring phenomena, and developing and testing new instruments.
Chapter 3 Methodology (Capstone Research)
This document provides an overview of a research methodology. It describes the research design, locale, and participants of the study. The research design section briefly discusses what type of research design was used. The research locale section describes the community where the research was conducted and where the participants were drawn from. The research participants section lists the people who took part in the study. The document also includes sections on the instruments, materials, and procedures used in carrying out the research study.
DB searches vs. snowballing
The document compares two methods for conducting systematic literature reviews: database searches and backward snowballing. It aims to determine the extent to which the two methods find the same papers and draw the same conclusions. The results show the initial and final paper sets from each method are different in number and composition, though some papers overlap. While patterns identified allow for similar conclusions, analyzing only unique papers per method reveals slightly different identified patterns. The conclusion is that the two methods are not highly dependent on each other but combining them generates a more comprehensive analysis, though requires more work. More comparison studies are needed to fairly evaluate the methods.
Research methodology methods and techniques 2004
Research methodology methods and techniques 2004Institute of Information Technology, University of Dhaka, Bangladesh
This document discusses three common approaches to evaluation: qualitative, quantitative, and mixed methods. The qualitative approach uses open-ended questions to gather contextual information but is time-consuming. The quantitative approach efficiently collects numerical data but does not provide explanations. The mixed methods approach balances efficient data collection with contextual data by incorporating both qualitative and quantitative elements, though it is more complex and costly. The document recommends selecting the approach best aligned with the evaluation's goals and objectives.Survey research lecture 9
This document defines key terms related to survey research including surveys, primary data, samples, populations, random sampling, respondents, and questionnaires. It discusses potential errors in surveys such as random sampling error and systematic errors including nonresponse bias, response bias, data processing errors, and interviewer errors. It also classifies survey methods based on questionnaire structure, question directness, and time basis, such as cross-sectional, longitudinal, and panel studies.
Mining tweets for security information (rev 2)
This document discusses using the open-source statistical software R to analyze security-related information from Twitter. It provides instructions on installing relevant R packages for accessing the Twitter API and searching for tweets containing specific keywords or hashtags. As an example, it searches for tweets with the hashtag "#exploit" and visualizes the results in a heatmap to show when during the day the tweets were posted.
Carma internet research module visual design issues
The document discusses visual design considerations for survey design, including:
1) Goals of maximizing reward for participants while minimizing costs, reducing errors and biases.
2) Cognitive and visual processing steps respondents go through.
3) Ensuring clarity through proper use of formatting, fonts, colors, spacing and screen sizing for different devices.
4) Considering audiences that may have limited bandwidth.
More Related Content
What's hot
Web Assisted Assessment of Professional Behaviour
Presentation given by Dr Christopher Stokes to the Dental Education Journal Club on 16 July 2013. Discussion of the following paper:
Van Mook, W. N. K. a, Muijtjens, A. M. M., Gorter, S. L., Zwaveling, J. H., Schuwirth, L. W., & Van der Vleuten, C. P. M. (2012). Web-assisted assessment of professional behaviour in problem-based learning: more feedback, yet no qualitative improvement? Advances in health sciences education : theory and practice, 17(1), 81–93. doi:10.1007/s10459-011-9297-0
Quantitative data analysis - Attitudes Towards Research
This presentation aims to analyze survey data on attitudes towards research. However, the data set has limitations like missing key demographic details and being an opportunistic sample of 50 respondents. While the data could still be analyzed, issues are identified like ambiguous questions and a lack of raw data. Better approaches for analysis include categorizing roles, formatting questions clearly, and applying statistical tests to check for significance. Presenting findings would require directly answering the research question, conclusions, and validating interpretations with supporting data and considering alternatives.
Coursework Evaluation
The document discusses evaluating investigations by assessing the strengths and weaknesses of data collection methods, the accuracy of results, and validity of conclusions. Effective evaluations observe how limitations of methods likely impacted conclusions. Weaker ones simply list problems. Higher levels of evaluation clearly link method limitations to inaccurate results and how these could lead to invalid conclusions. Evaluators should consider questions like how well data addressed the aims, whether different collection methods could improve accuracy and usefulness, and how problems may have affected conclusions. The key is linking the three evaluative elements of methods, accuracy, and conclusions.
Comparative and Non-Comparative
This document summarizes and compares two studies: a comparative study and a non-comparative study. The comparative study compared the effects of multimedia instruction versus lectures for Chinese learning among 41 students in Taiwan. It found no significant differences but that multimedia instruction led to slightly better performance. The non-comparative study examined factors influencing achievement in web-based courses among 99 students in the US. Unexpectedly, it found that learning styles and characteristics did not affect web-based learning achievement. Both studies had limitations such as small sample sizes and relying on self-reported data.
Survey research
The document discusses survey research methods. It defines surveys as a method used to collect data from a sample of individuals through questionnaires or interviews to make inferences about a population. The key steps of survey design are outlined, including developing hypotheses, writing questions, sampling, data collection, analysis, and reporting findings. Advantages of surveys include wide scope and low cost, while limitations include superficiality and response biases. Surveys are useful for exploratory, descriptive, and explanatory research.
Basics of Systematic Review and Meta-analysis: Part 1
This document discusses the basics of conducting a systematic review and meta-analysis, including choosing a novel and interesting topic where evidence is still unclear, writing a protocol according to PRISMA-P guidelines and registering the review, searching various databases and other sources for literature, developing a search strategy and flowchart for study selection, and ensuring an exhaustive literature review by obtaining full texts and contacting authors and experts for unpublished work or additional data.
Research
The document discusses research and data collection by the WESTOP organization. It defines research and describes types of research such as quantitative and qualitative research. It discusses why research is important for accountability and effectiveness. It also discusses the US Department of Education's emphasis on randomized controlled trials as the most rigorous research design. The document outlines WESTOP's plan to initially collect prior experience data from participants and potentially collect additional longitudinal data to analyze program effectiveness.
Ch05 instrumentation
This chapter discusses selecting and using measuring instruments in educational research. It covers key terminology related to data collection and measurement, different types of instruments including cognitive, achievement, aptitude and affective tests. The chapter also addresses important technical issues in using instruments, specifically validity which refers to the appropriateness of interpretations from test scores, and reliability which refers to a test's consistency. It describes different aspects of validity and reliability and factors that can influence them. Finally, the chapter outlines six common reliability coefficients and considerations for selecting a suitable test.
Research design and methodology infosheet
This document discusses different aspects of research methods, including:
1. The different types of research methods such as pure theory, descriptive studies, exploratory studies, and quantitative vs qualitative research methods.
2. Specific research methods like action research, case studies, surveys, and experiments are described.
3. Key elements of research are outlined, including the research method, framework, data gathering tools, population, and statistical treatment.
Data collection
Data collection in research involves systematically gathering factual information to test hypotheses or answer research questions. There are two main types of data: primary data collected directly by researchers through methods like surveys and interviews, and secondary data previously collected by others. The document outlines purposes of data collection like research design and sampling, as well as methods for primary data collection including questionnaires, interviews, focus groups, observation, and case studies. Both primary and secondary data have advantages and disadvantages for research.
Action Research Pd
Action research involves teachers systematically examining their own practices by identifying an area of focus or question, collecting relevant information to answer the question, analyzing the information, and sharing results. The process helps improve teaching practices through planned, cyclical inquiry. Some key aspects of action research include developing open-ended, meaningful questions; collecting multiple sources of direct, relevant data; analyzing data for themes and redundancies; and sharing results which can lead to further questions or interpretations.
Mary ch2 presentation
This chapter discusses research problems in quantitative and qualitative research. Quantitative research problems involve variables, relationships between variables, and populations. They aim to describe, compare, or determine causes. Qualitative research problems focus on central phenomena like issues or processes through questions of how or what. The chapter also covers identifying variables, forming hypotheses, and developing qualitative research questions.
Challenges and opportunities in research evaluation: toward a better evaluati...
Prof Sergio Benedetto's keynote address from the ORCID and Casrai joint conference, Barcelona, May 2015
Steps in research process
The document outlines the 10 key steps in the research process:
1. Selecting a research topic and defining the problem.
2. Specifying the research objectives.
3. Developing a research design and determining what information is required.
4. Designing methods to collect primary and secondary data, such as through surveys.
5. Analyzing and interpreting the results to draw conclusions.
6. Preparing a final research report to communicate the findings to clients.
Questionnaire2002
This document provides an overview of quantitative research methods using questionnaires. It defines questionnaires, discusses criticisms and advantages/disadvantages of survey methods. It also outlines common problems in management information systems (MIS) research using surveys, steps for designing and conducting a survey, methods of distribution, examples of questionnaires used in information systems research, and concludes with summarizing considerations for using mixed survey distribution modes.
Mixed method research
Mixed methods research involves collecting and analyzing both quantitative and qualitative data within a single study or series of studies. This approach allows researchers to understand research problems more fully than using either quantitative or qualitative methods alone. Researchers can collect quantitative data through methods like questionnaires, surveys, and attendance records, and qualitative data through interviews, observations, and document analysis. The mixed methods design considers the priority and sequence of quantitative and qualitative data collection and analysis. Reasons for using a mixed methods approach include explaining and interpreting results, exploring phenomena, and developing and testing new instruments.
Chapter 3 Methodology (Capstone Research)
This document provides an overview of a research methodology. It describes the research design, locale, and participants of the study. The research design section briefly discusses what type of research design was used. The research locale section describes the community where the research was conducted and where the participants were drawn from. The research participants section lists the people who took part in the study. The document also includes sections on the instruments, materials, and procedures used in carrying out the research study.
DB searches vs. snowballing
The document compares two methods for conducting systematic literature reviews: database searches and backward snowballing. It aims to determine the extent to which the two methods find the same papers and draw the same conclusions. The results show the initial and final paper sets from each method are different in number and composition, though some papers overlap. While patterns identified allow for similar conclusions, analyzing only unique papers per method reveals slightly different identified patterns. The conclusion is that the two methods are not highly dependent on each other but combining them generates a more comprehensive analysis, though requires more work. More comparison studies are needed to fairly evaluate the methods.
Research methodology methods and techniques 2004
Research methodology methods and techniques 2004Institute of Information Technology, University of Dhaka, Bangladesh
This document discusses three common approaches to evaluation: qualitative, quantitative, and mixed methods. The qualitative approach uses open-ended questions to gather contextual information but is time-consuming. The quantitative approach efficiently collects numerical data but does not provide explanations. The mixed methods approach balances efficient data collection with contextual data by incorporating both qualitative and quantitative elements, though it is more complex and costly. The document recommends selecting the approach best aligned with the evaluation's goals and objectives.Survey research lecture 9
This document defines key terms related to survey research including surveys, primary data, samples, populations, random sampling, respondents, and questionnaires. It discusses potential errors in surveys such as random sampling error and systematic errors including nonresponse bias, response bias, data processing errors, and interviewer errors. It also classifies survey methods based on questionnaire structure, question directness, and time basis, such as cross-sectional, longitudinal, and panel studies.
What's hot (20)
Quantitative data analysis - Attitudes Towards Research
Quantitative data analysis - Attitudes Towards Research
Basics of Systematic Review and Meta-analysis: Part 1
Basics of Systematic Review and Meta-analysis: Part 1
Challenges and opportunities in research evaluation: toward a better evaluati...
Challenges and opportunities in research evaluation: toward a better evaluati...
Viewers also liked
Mining tweets for security information (rev 2)
This document discusses using the open-source statistical software R to analyze security-related information from Twitter. It provides instructions on installing relevant R packages for accessing the Twitter API and searching for tweets containing specific keywords or hashtags. As an example, it searches for tweets with the hashtag "#exploit" and visualizes the results in a heatmap to show when during the day the tweets were posted.
Carma internet research module visual design issues
The document discusses visual design considerations for survey design, including:
1) Goals of maximizing reward for participants while minimizing costs, reducing errors and biases.
2) Cognitive and visual processing steps respondents go through.
3) Ensuring clarity through proper use of formatting, fonts, colors, spacing and screen sizing for different devices.
4) Considering audiences that may have limited bandwidth.
Siop impact of social media
This document discusses three topics related to cutting edge research that industrial-organizational psychologists could be doing more of. First, there is relevant scholarship published in conference proceedings that could also be published in journals. Second, alternative employment arrangements like temporary work and contracting are a fast growing area. Third, social media provides new opportunities for data collection that can complement surveys.
What is Data Science
This document discusses the role of data scientists in analyzing large and complex datasets to help answer critical questions. It notes that over 95% of digital data is unstructured and organizations lose millions annually due to inefficient use of information. Data scientists can help transform this data into usable knowledge by developing expertise in both data management and specific domains. They work with infrastructure experts and domain experts to analyze "big data" and solve grand challenges across many fields.
Introduction to Advance Analytics Course
This document provides an introduction to advanced data analytics. It discusses [1] how organizations lose millions annually due to inefficient use of data, [2] the sources and types of big data being generated, and [3] the multi-disciplinary nature of data analytics, drawing on fields like database technology, statistics, machine learning, and visualization. The key steps of analytics projects are outlined, including understanding the domain, preprocessing data, reducing and transforming it, selecting analytical approaches, communicating results, and deploying and evaluating new systems.
Getting Started with R
This document provides an introduction to advanced data analytics using R. It outlines the key steps in an analytics process: [1] understanding the domain; [2] obtaining and cleaning data; [3] reducing, transforming, and visualizing the data; [4] choosing analytical approaches; and [5] communicating results. As a first example, it analyzes a public dataset on ice cream consumption using R commands to summarize, visualize with histograms and boxplots, and explore relationships between variables like income, temperature, and consumption over time. The document demonstrates how to interpret these analyses and leverage additional tools in R to further understand the data.
Viewers also liked (6)
Carma internet research module visual design issues
Carma internet research module visual design issues
Similar to Reducing Response Burden
Topic 5 DQ 2Nov 3-7, 2022Imagine once again that you are an au.docx
Topic 5 DQ 2
Nov 3-7, 2022
Imagine once again that you are an automobile manufacturing executive tasked with increasing sales in your state. You wish to do a qualitative study to obtain the perspective of sales personnel regarding an incentive program you implemented at few dealerships that quantitatively proved to be successful. The three sources of data for your case study are individual semi-structured interviews, archival documents, and field observations. What are the most significant strengths and weaknesses of the methods for collecting data from these data sources? Why are these significant? What skills are needed to collect the data effectively? Explain. What concerns do you have about the feasibility of implementing these methods of data collection for this study? Explain.
One student already answered the below answer
Use this students answer below to make sure your answer sounds similar
STUDENT ANSWER- In the scenario for the automobile manufacturing company and the perspective of the sales personnel using the semi-structured interview, field observations, and archival documents would have positives and negatives. The semi-structured interview provides an opportunity for in-depth, open-ended questions (Steffes & Jacobs, 2021). The researcher can stray from the established questions, which allows for follow-up questions. A weakness might be the time it takes to interview all the participants, conduct the interview, and the researcher's bias. Field observations can not be recorded as they occur and rely on the researcher's memory. The researcher needs to record the evidence quickly after the event (Steffes & Jacobs, 2021). Finally, archival documents need approval before they are used. For our scenario, looking at companies implementing an incentive program would benefit the research. The data will provide a rich description of the participants. The researcher must be familiar with the research but not provide bias when conducting the research. Some considerations need to be made when collecting data. Modality, time of the interview, if they are recorded, and sharing the purpose of the interview must be disclosed to those participating in the research. Concerns about the feasibility would be money, time, and the number of participants.
Resources:
Steffes, D. & Jacobs, J. (2021). Introduction to sampling, data collection, and data analysis. In Grand Canyon University (Ed.), GCU doctoral research: Foundations and Theories.
https://lc.gcumedia.com/webbooks/gcu-doctoral-research-introduction-to-sampling-data-collection-and-data-analysis/v1.1/#/chapter/6
Student responses
Original Question-
Topic 5 DQ 1
Think again of the study on the influence of high school principals’ leadership styles and academic achievement in their schools in your state. The sources of data must be aligned with the research questions and study design, and they must be feasible for administration of the study. Identify five different qu.
Quantitative search and_qualitative_research by mubarak
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.
quali-lesson-22.ppt
The document outlines the key differences between qualitative and quantitative research. Qualitative research uses open-ended questions and flexible designs to explore experiences, while quantitative research uses closed-ended questions and rigid designs to confirm hypotheses and describe populations. Examples of
Research and advocacy by Seetal Daas
Research is an important step in preparing an advocacy campaign. Careful, objective research educates supporters about causes and effects of problems. The document discusses various research methods like surveys, interviews, focus groups, and secondary data collection. It also covers topics like sampling, designing survey questions, analyzing qualitative and quantitative data, and presenting research findings to different audiences.
answer the following questions thoroughly and provide justification.docx
answer the following questions thoroughly and provide justification/support. The more complete and detailed your answers for these questions, the better prepared you are to successfully write your final paper.
Please submit your answers as a single 4- to 6-page document as a numbered list; this will ensure you do not inadvertently miss a question.
What is your research question?
Are adolescent girl’s body images influenced by the media?
What is your hypothesis or hypotheses? What is the null hypothesis?
How many participants would you like to use and why? What are the inclusion characteristics, i.e., what must they have in order to be included in your study (for example, gender, diagnosis, age, personality traits, etc.)? Are there any exclusion characteristics, i.e. are there certain characteristics that would exclude them from being in your study? Does the sample need to be diverse? Why or why not?
What sampling technique will be used to collect your sample? What population does your sample generalize to?
What are the variables in your study?
HINT:
Refer back to your hypothesis or hypotheses.
Provide operational definitions for each variable.
How will you measure each variable? Discuss the reliability and validity of these measures in general terms.
What technique will be used for data collection (e.g., observation, survey, interview, archival, etc.)?
What type of research design is being used?
Briefly discuss the procedure that would be followed when conducting the research.
What are some
POTENTIAL
ethical issues? How might they be addressed?
Assignment 2 Grading Criteria
Maximum Points
Explanation and justification of research question.
12
Presentation of hypothesis and null hypothesis.
16
Analysis of participants exclusion/inclusion factors.
16
Explanation of sampling technique and characterization of population that sample generalized.
12
Identification of study's variables.
12
Operational definitions for each variable are defined.
16
Development of methods to measure each variable, and the reliability and validity of these measures are evaluated.
16
Description of technique(s) used for data collection.
12
Description of the research design being used.
12
Identification of the research procedure.
12
Prediction of POTENTIAL ethical issues; POTENTIAL ethical issues are evaluated in terms of how they would be addressed.
20
Organization:
Introduction
Thesis
Transitions
Conclusion
12
Usage and Mechanics:
Grammar
Spelling
Sentence Structure
12
APA Elements:
Attribution
Paraphrasing
Quotations
16
Style:
Audience
Word Choice
4
Total:
200
.
Research question
This document discusses research questions and the process of formulating research problems. It begins by defining research and different types of research. It then covers developing research questions, including originating questions from prior literature and formulating questions that are feasible, interesting, novel, ethical and relevant. The document outlines steps for formulating a research problem, including selecting a broad subject area and narrowing it to specific questions. It stresses reviewing literature throughout the process and considering available data, resources, and ethics. Finally, it discusses writing research protocols that specify predictors, outcomes, populations and study plans to address potential problems.
Methods of Gathering Data for Research Purpose and Applications Using IJSER A...
Abstract: A good number of scientist or researchers find it very difficult in carrying out their research work
successfully due to lack of good knowledge of data collection method and application. Data is referred to as a
collection of facts, such as values or measurements, observation or even just descriptions of things. Various ways are
used for data collection in research work or designs depending on the research being done by the researcher. This
study focuses on the Acceptance rate of monthly IJSER paper publication (March 2012 Edition-May 2013 Edition).
Simple descriptive analysis was used. The result shows that Quantitative analysis is considered to be objective,
without any human bias attached to it, because it depends on the comparison of numbers according to mathematical
computations. While Analysis of qualitative data is generally accomplished by methods more subjective, dependent on
people’s opinions, knowledge, assumptions, and inferences (and therefore biases), than that of quantitative data.
Key words: Data, ijser”s Acceptance rate , qualitative and quantitative approach, Observation, Survey, Interview,
Experiment, etc.
Analyzing qualitative data 4 13-17
This document provides guidance on analyzing qualitative research data through coding. It discusses the importance of conceptualizing chunks of text with labels called concepts. Concepts that are similar can be grouped into categories to develop explanatory terms. The researcher engages in an iterative process of constantly comparing concepts to categories to develop theories grounded in the data. Memos tracking the researcher's analysis, interpretations and questions are also important. The goal is to allow patterns and insights to emerge from careful examination of qualitative data like interview transcripts and observations.
Comparison quantitative and qualitative
This document provides an overview of quantitative and qualitative research methods. Quantitative methods aim to quantify relationships between variables through statistical analysis of numerical data from large samples, seeking to generalize findings to populations. They use structured techniques like questionnaires and surveys. Qualitative methods seek to explore phenomena through flexible, semi-structured collection of textual data from a few cases, aiming to provide an in-depth understanding rather than generalization. They use techniques like interviews and observation. The document compares the analytical objectives, question formats, data formats, flexibility, sampling, and data collection/analysis processes of quantitative and qualitative methods.
Basic Inculcation on Research Activities among Devotees.pptx
This document provides an overview of research concepts and processes. It defines research, discusses different research approaches including qualitative and quantitative methods. It covers topics such as research problem identification, literature reviews, methodology, data collection tools, sampling, hypothesis, and research ethics. The key aspects of research covered include having a systematic, objective, and reproducible process that adds new knowledge.
Data collection.pptx
This document provides information about data collection and analysis. It discusses the purpose and types of data collection, including primary and secondary sources. It also outlines various methods of data collection like surveys, interviews, questionnaires and observation. The document then discusses data processing steps like editing, coding, classification and tabulation. It describes various techniques for data analysis including parametric and non-parametric tests. It also discusses measures of central tendency, dispersion and different types of graphical representations. Finally, it touches upon report writing and the key elements of a good report.
1.2 data collection
This document discusses various methods for collecting primary and secondary data. It describes primary data collection methods like observation, surveys, interviews, questionnaires, and schedules. It provides details on the types, processes, advantages, and disadvantages of each method. Secondary data is defined as already published data compiled by other agencies. The document emphasizes selecting appropriate data collection methods based on factors like the nature, size, and scale of the research.
Health elearning rg may 2014
The document discusses educational research quality and application-focused research and development. It notes that educational research does not have a strong reputation and some work is insufficiently built upon previous research or tested in new contexts. Application-focused research faces additional challenges, including underrepresentation of user-focused outputs in quality assessments and insufficient reference to recent relevant research. Improving educational research quality involves considering user needs and fundamental understanding.
Essay On Qualitative Research
Qualitative research aims to provide an in-depth understanding of phenomena through flexible research techniques like interviews and observations. It focuses on understanding experiences and beliefs from participants' perspectives rather than measuring or quantifying data. This allows researchers to gain rich insights into topics from smaller sample sizes compared to quantitative methods.
Survey and correlational methods of research: Assumptions, Steps and Pros and...
The document discusses two research methods: correlational research and survey research. Correlational research examines the relationship between two or more naturally occurring variables without manipulating them experimentally. It allows investigating variables that may be unethical or impractical to test experimentally, and offers theoretical advantages over experiments. Survey research efficiently collects large amounts of information from respondents using standardized questions and statistical analysis. It is flexible, relatively free from errors, and economical for data collection. Both methods are important tools for collecting data and making inferences, though they each have limitations such as inability to determine causation.
Lo3 Other Elements of Research
The document discusses different levels of measurement for variables in research (nominal, ordinal, interval, ratio) and provides examples. It then presents details on 3 research questions, including the data source (officers/staff responses), response type (Likert scale), data type (interval), and planned analysis (frequency, percentage, average weighted mean). It also shows the conceptual framework and formula for measuring management performance of cooperatives. The document discusses developing indicators, common problems, and approaches to use like reviewing previous research, using informants, and pilot testing indicators. It contrasts quantitative and qualitative research approaches.
Intervention forEducationMarkis’ EdwardsJanuary 29, 2018.docx
Intervention for
Education
Markis’ Edwards
January 29, 2018
1
Area of Focus
Enforcing IEPs children with
Autism
Learning and behavioral difficulties
In reinforcing learners in Individualized Educational Programs(IEPs), educators will assist in shaping the behaviors of the students, as well as, becoming more self-sufficient (Bambara, Koger, & Bartholomew, 2011). The students’ educational needs are met in areas, such as reading, writing, math, adaptive living, and science. The objective is to meet the learners' needs via creating a plan that will effectively ensure the students’ educational and behavioral level are met or exceeded (Tyner, 2014).
2
Explanation of Problem
Lack of reinforcement by teachers
No use of different learning techniques
No use of technology
3
Variables
Mixed Group of children
Verbally proficient but with behavioral difficulty
Nonspeaking children with severe behavioral difficulty
Basic speaking skills with minimal behavioral difficulty
4
Research Questions
Qualitative Questions
Why should I consider eLearning-based training?
Can eLearning courses be customized?
What is the perspective of researcher in regards to having daily awareness of students IEP goals?
Quantitative Questions
What are 2-3 hardware and software requirements for online training?
What is the difference in researchers expectations of students when applying IEP goals daily verses being applied over three weeks?
5
Locus of Control
Being part of the intervention
Confidential Research for myself
Research Summaries
The main goal of being part of the intervention is the assurance that children are educated regardless of limitations or disabilities (Wehmeyer, 2005).
6
Intervention/Innovation
The Use of iPads
Use of designated applications
This will all be provided by the designed application known as “Proloquo” that is designed for such activities (Brown, Dehoney, & Millichap, 2015).
7
Negotiations
Observation of children in their learning environment
Terms set by the DHR had to be followed
8
Ethics
Student Rights
Training of students on the usage of the devices
Restricting the devices to specific sites
When the intervention is being implemented several things have to be considered and at the top of the list is the maintenance of the students rights (Bamb.
321423152 e-0016087606-session39134-201012122352 (1)
This document provides an introduction to quantitative and qualitative research methods. It explains that the research approach chosen depends on the research questions, underlying philosophy, and skills of the researcher. Quantitative research uses numerical data and statistical analysis, while qualitative research uses words and focuses on understanding phenomena. Both have advantages and limitations. The document also discusses research design principles, data sources, analysis techniques, and key aspects to consider for quantitative and qualitative approaches.
statistics 02.ppt
This document provides an overview of quantitative research approaches. It discusses the use of theories and variables, including independent, dependent, mediating, moderating, and control variables. It also covers research questions, strategies like surveys and experiments, and methods of data collection including questionnaires, structured observations, and interviews. Experiments are described in detail, including components, threats to validity, and procedures. The goal of quantitative research is to test or support hypotheses and theories through objective and systematic data collection and analysis.
Similar to Reducing Response Burden (20)
Topic 5 DQ 2Nov 3-7, 2022Imagine once again that you are an au.docx
Topic 5 DQ 2Nov 3-7, 2022Imagine once again that you are an au.docx
Quantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarak
answer the following questions thoroughly and provide justification.docx
answer the following questions thoroughly and provide justification.docx
Methods of Gathering Data for Research Purpose and Applications Using IJSER A...
Methods of Gathering Data for Research Purpose and Applications Using IJSER A...
Basic Inculcation on Research Activities among Devotees.pptx
Basic Inculcation on Research Activities among Devotees.pptx
Survey and correlational methods of research: Assumptions, Steps and Pros and...
Survey and correlational methods of research: Assumptions, Steps and Pros and...
Intervention forEducationMarkis’ EdwardsJanuary 29, 2018.docx
Intervention forEducationMarkis’ EdwardsJanuary 29, 2018.docx
321423152 e-0016087606-session39134-201012122352 (1)
321423152 e-0016087606-session39134-201012122352 (1)
More from Syracuse University
Discovery informaticsstanton
Jeff Stanton discusses discovery informatics for analyzing large datasets. He notes that the amount of data is growing rapidly but IT spending is not keeping pace. Traditional data exploration methods are insufficient for "big data." Emerging alternatives are needed for creating and analyzing large datasets. Stanton provides examples of big data in retail and jobs in the field. He also discusses costs of data reformatting and search failures. The document explores using crowdsourcing, natural language processing, and visualization tools to translate and validate psychological assessment items across languages and cultures.
Basic SEVIS Overview for U.S. University Faculty
SEVIS immigration international graduate undergraduate students basic guide faculty members U.S. university college
Why R? A Brief Introduction to the Open Source Statistics Platform
This document discusses the statistical programming language R. It describes R as an open source platform for statistics, data management, and graphics. It notes that R comprises a core program plus thousands of add-in packages. It then compares R to other popular statistical software packages and notes that R is more popular and used by more analysts. Finally, it highlights some advantages of R, including its emphasis on reproducibility through coding data transformations.
Chapter9 r studio2
This document provides instructions for installing and using R-Studio. It describes R-Studio as an integrated development environment for R with four panes - code, console, workspace, and file/plots. It outlines downloading and installing R-Studio after first installing R. It then demonstrates creating a simple MyMode function to calculate the mode, and improving it through multiple iterations to properly handle duplicate values and return the correct mode. The document encourages testing the function on sample data and trying to "break" it to find flaws.
Basic Overview of Data Mining
A companion slide deck for this chapter:
Stanton, J. M. (2013). Data Mining: A Practical Introduction for Organizational Researchers. In Cortina, J. M., & Landis, R. S., Modern Research Methods for the Study of Behavior in Organizations. New York: Routledge Academic.
Strategic planning
External pressures like changing demographics and increasing student debt have created challenges for universities. Effective strategic processes require clear priorities aligned with stakeholders' values. Strategy lies at the leadership core by balancing constituencies' conflicting demands. Strategic planning models include linear, adaptive, and interpretive approaches. The linear method scans environments and pursues objectives. Adaptive strategy continuously adapts through experimentation. Interpretive strategy aligns mission and goals through symbols. Universities that strategically communicated culture changes through symbols were more resilient during financial difficulties.
Carma internet research module scale development
The document outlines the steps for developing a valid scale for use in web surveys, including defining the construct, generating items, pilot testing, refining the scale, and validating it with other measures. Key aspects include using subject matter experts, evaluating items statistically and conceptually, demonstrating the scale's nomological network, and publishing validation evidence. The goal is to create a concise yet reliable and valid scale for measuring constructs online.
Carma internet research module getting started with question pro
This document provides instructions for getting started with the QuestionPro survey platform. It outlines the sign up and survey creation process, including how to [1] create an account, [2] navigate to the home screen and click "Create Survey", [3] follow the wizard to name and design the survey, and [4] add and format questions and response options. It also notes that the free version is limited but universities can get site licenses, and it describes how to preview, distribute and share surveys with others for feedback.
Basic Graphics with R
The document demonstrates how to analyze movie box office data using R. Key steps include:
1. Loading the data and checking its structure and variables.
2. Creating a histogram of the DAY_NUM variable to visualize its distribution.
3. Converting factors to numbers and aggregating the daily box office amounts by movie.
3. Creating a bar plot of the total box office amounts by movie to identify the highest-grossing films. Issues encountered during the process are also discussed.
R-Studio Vs. Rcmdr
This document compares two integrated development environments (IDEs) for the R programming language: R-Studio and Rcmdr. R-Studio is a more powerful and flexible IDE that provides direct access to R code and facilitates interactions with R through its graphical interface. Rcmdr is simpler and more user-friendly, focusing on statistical analysis through buttons and menus. Both allow viewing data, but neither support data editing. The document provides guidelines for choosing between them and notes additional R IDEs under development.
Moving Data to and From R
This document discusses moving data between Excel and R. It explains that R maintains a current working directory to simplify reading and saving files. It also discusses using the clipboard to copy small chunks of data between Excel and R, including variable names. The best option is to put the clipboard data into a dataframe. Dataframes are explained as lists of vectors that can hold different data types. The document demonstrates importing and exporting CSV files between Excel and R and using the data interchange format to exchange files between the two programs. It suggests tasks for demonstrating mastery of these skills, such as importing/exporting CSV files and using dataframes.
Installing R and R-Studio
This document provides instructions for installing R and R-Studio, two programs for performing advanced data analytics. It explains that R can be downloaded from its website for Linux, MacOS, and Windows, while R-Studio can also be downloaded from its website for those operating systems. The document then demonstrates how to use R-Studio, which displays the workspace, console, and ability to show graphics and other information across multiple tabs. It includes example R commands to help orient users and demonstrates assigning a value to a variable to show mastery of the basics.
PACIS Survey Workshop
This document discusses nonresponse bias in surveys and methods for assessing its impact. It begins by explaining why low response rates can undermine survey validity and introduces techniques researchers have used to increase response rates over time. However, it argues that response rate alone is not a good indicator of bias; more important is understanding if and how nonrespondents differ from respondents. The document then presents the Nonresponse Bias Impact Assessment (N-BIAS) framework, which involves using multiple techniques like archival analysis, follow-ups, wave analysis, and others to evaluate nonresponse bias in a given study.
Carma internet research module: Future data collection
This document discusses several promising techniques for future data collection, including visual surveys, audio/video interviewing, virtual worlds, web scraping, social network mapping, embedded polls on sites like Facebook, and collecting data from mobile devices. It provides examples of platforms that can be used to implement each technique and highlights advantages like reduced costs and wider reach, as well as disadvantages like technical requirements.
Carma internet research module: Sampling for internet
This document discusses internet data collection methods and sampling techniques used for internet-based research. It covers topics like defining the universe and population, developing samples, probability and non-probability sampling, sources of internet samples, criticisms of internet samples, and preferred mixed mode sampling strategies. The document consists of lecture notes from a course on internet data collection methods, providing information on key concepts and considerations for sampling in internet research.
Carma internet research module: Encouraging responding
The document summarizes strategies for encouraging responses in online surveys. It discusses the tailored design method proposed by Dillman and the leverage-saliency theory of Groves. Key response enhancing techniques include pre-notification, incentives, personalization, question order, survey length, and reminders. Combining multiple techniques can incrementally increase response rates by a few percentage points each. The effectiveness of techniques depends on respondent characteristics and survey context.
Carma internet research module: Survey reduction
The document discusses various survey reduction techniques to reduce administration time and increase engagement while maintaining data quality. It recommends making surveys seem short by streamlining the entire experience. Specific techniques include reducing instructions, using archival demographics, strategic placement of eligibility questions, and skip/branch logic. Scale reduction can be done through item analysis, factor analysis, and relating items to external criteria. Unobtrusive observation and one-item measures are also discussed as alternatives to surveys. Trade-offs of reduced surveys include potential lower construct coverage and less information obtained per respondent.
Carma internet research module: Research design catalog
1) The document describes various internet research methods including surveys, experiments, interviews, focus groups, document analysis, and mixed methods designs.
2) Specific examples include a single-wave survey, two-wave panel design, quasi-experiment comparing two conditions, time series design with repeated measures, and a linked dyads design.
3) Considerations for internet research methods include timing, identifiers to link data sources, and challenges of experimental control.
Stanton eScience Presentation
- The document discusses the role and education needs of eScience professionals, who work with scientists and engineers to manage large datasets and facilitate collaboration using new technologies.
- Interviews and analysis found that eScience professionals need skills in areas like data collection, management and analysis, IT implementation, and facilitating communication and collaboration across disciplines. They also need knowledge of science/engineering domains and IT/informatics.
- The document recommends that eScience professionals obtain at least a bachelor's degree in a science or engineering field, plus additional education in information management or an MS in information science/management.
Carma internet research module detecting bad data
This document discusses methods for detecting bad or fraudulent data in online studies. It identifies sources of data problems such as technical errors, missing data, and response fraud. Specific detection techniques are presented, including duplicate detection, univariate and multivariate outlier analysis, and autocorrelation analysis to identify unusual response patterns. Common missing data mitigation strategies like imputation are also covered. Examples of Excel functions for analyzing and working with data are provided.
More from Syracuse University (20)
Why R? A Brief Introduction to the Open Source Statistics Platform
Why R? A Brief Introduction to the Open Source Statistics Platform
Carma internet research module getting started with question pro
Carma internet research module getting started with question pro
Carma internet research module: Future data collection
Carma internet research module: Future data collection
Carma internet research module: Sampling for internet
Carma internet research module: Sampling for internet
Carma internet research module: Encouraging responding
Carma internet research module: Encouraging responding
Carma internet research module: Research design catalog
Carma internet research module: Research design catalog
Recently uploaded
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdWalmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit - NGV Pavilion Concept Design
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
BBR 2024 Summer Sessions Interview Training
Qualitative research interview training by Professor Katrina Pritchard and Dr Helen Williams
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Recently uploaded (20)
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Reducing Response Burden
- 1. Fred Oswald Rice University – Department of Psychology Jeff Stanton Syracuse University – School of Information Studies Kauffman Roundtable on Establishment Surveys August 9, 2011 Reducing Response Burden
- 2. Reducing Response Burden Goals Reduce time of administration and associated costs Increase response rates, compliance, fewer missing data, Decrease survey fatigue and increase willingness to re-engage over time Effects Increase information yield per unit of response time/effort Balance multiple stakeholder survey goals based on “lean” and less reliable information sources
- 3. Approaches and Constraints Goal: No practical loss in reliability or validity at the desired aggregate level (unit, sub-unit/cluster) Approaches Reduce instructions/explanatory material Reduce item redundancy Distribute subsets of items strategically across units, using available data or imputation to complete analyses Automate field completion with NLP and scrapers Constraints Each approach has intrinsic weaknesses Stakeholders wedded to particular items Longitudinal comparability limits changes
- 4. Research on Response Burden Example: How to determine efficient item assignments to sub-samples, given available item information, precision goals, and stakeholder concerns? Given different approaches (e.g., multiple imputation) what is the maximum reduction in item content before loss of precision becomes intolerable? How redundant are components of a profile (so certain items ‘drive’ a profile)? What are stakeholder reactions to various imputation/analysis strategies? Our Expertise Methods generalists who examine technology and statistical tools to inform practical goals of survey development and test characteristics Statistical tools: Item response theory, multi-level and cross-classified models, meta-analysis, machine learning Technology tools: Web-based surveys, data scrapers, alternative data collection methods
- 5. Selected Papers Non-response issues Converse, P. D., Wolfe, E. W., Huang, X., & Oswald, F. L. (2008). Response rates for mixed-mode surveys using mail and email/web. American Journal of Evaluation, 29, 99-107. Rogelberg, S. G, & Stanton, J. M. (2007). Understanding and dealing with organizational survey nonresponse. Organizational Research Methods, 10, 195-209. Wolfe, E. W., Converse, P. D., & Oswald, F. L. (2008). Item-level non-response rates in an attitudinal survey of teachers delivered via mail and web. Journal of Computer-Mediated Communication, 14, 35-66. Shortening measures Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The Mini-IPIP scales: Tiny-yet-effective measures of the Big Five factors of personality. Psychological Assessment, 18, 192-203. Russell, S.R., Spitzmüller, C., Lin, L.F., Stanton, J.M., Smith, P.C., & Ironson, G. H. (2004). Shorter can also be better: The abridged Job in General Measure. Educational and Psychological Measurement, 64 (5), 878-893. Stanton, J. M., Sinar, E. F., Balzer, W. K., & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55 (1), 167-193. Stanton, J. M. (2000). Empirical distributions of correlations as a tool for scale reduction. Behavior Research Methods, Instruments, and Computers, 32, 403-406. Technology issues Rogelberg, S. G., Church, A. H., Waclawski, J., & Stanton, J. M. (2002). Organizational Survey Research: Overview, the Internet/intranet and present practices of concern. In S. G. Rogelberg (Ed.), Handbook of Research Methods in Industrial and Organizational Psychology. Oxford: Blackwell. Stanton, J. M., & Rogelberg, S. G. (2001). Using Internet/Intranet Web Pages to Collect Organizational Research Data. Organizational Research Methods, 4, 199-216. Stanton, J. M. (1998). An empirical assessment of data collection using the Internet. Personnel Psychology, 51, 709-725. Parallel forms (item banking, test security) Oswald, F. L., Friede, A. J., Schmitt, N., Kim, B. K., & Ramsay, L. J. (2005). Extending a practical method for developing alternate test forms using independent sets of items. Organizational Research Methods, 8, 149-164.