Step-by-by instructions collecting and analyzing quantitative and qualitative data for graduate and dissertation students. Provide information and use sample writings to draft your paper.
This chapter discusses the related literature, related studies, and the relationship between previous studies and the present study. The related literature section reviews articles from various sources that support the research problem's variables and strong points. The related studies section examines published and unpublished theses and research on the topic. The final section notes the similarities and differences between reviewed studies and the present study in terms of framework, methodology, and statistical analysis to strengthen the importance of the current work.
1. Data processing involves editing, coding, classifying, tabulating and diagramming research data to reduce it and establish order. It consists of five main steps: editing data, coding data, classifying data, tabulating data, and creating data diagrams.
2. Editing data involves examining collected data to detect and correct errors and ensure completeness and consistency. Coding data involves organizing responses into categories and assigning numerical or symbol codes. Classifying data groups statistical data into homogeneous categories.
3. Tabulating data summarizes raw data into tables for analysis. It can be done by hand, mechanically or electronically. Data diagrams like charts and graphs present data visually to facilitate understanding.
Qualitative data analysis involves three main steps: 1) developing and applying codes to categorize themes and ideas in the data, 2) identifying patterns and relationships between codes, and 3) summarizing the findings. There are three types of coding - open, axial, and selective - which are used to organize the raw data and link the emerging categories. While there are no universally applicable techniques, common methods for interpreting qualitative data include identifying frequently used words and phrases, comparing primary and secondary sources, and searching for missing information. The last stage involves linking the findings back to the original hypotheses or objectives.
Check list & research dissertation model chapter 4, 5 6JFM Lohith Shetty
The document provides guidelines for formatting a research dissertation or term paper before printing. It includes 21 guidelines related to font style and size, margins, page numbering, formatting of tables and figures, checking for spelling and grammar mistakes, and printing multiple copies for review and corrections. The document emphasizes using a consistent style throughout the paper and checking the document thoroughly before final printing.
This document provides guidance on analyzing both quantitative and qualitative data. It discusses coding data as it is collected and categorizing variables like gender, age, and origin. Generalizations should be drawn from the full data set, noting common responses and deviations. Findings should be summarized using examples and illustrations from the data through quotes and figures. Codes must be mutually exclusive, exhaustive, and consistently applied. Researchers should reflect on how their findings link to the original questions, fit with prior work, and further the field through new assertions and contributions to knowledge, while also considering limitations.
This document provides guidance on writing different types of quantitative research questions, including descriptive, comparative, and relationship/correlation questions. It defines key terms like independent and dependent variables. It also provides examples and step-by-step instructions for constructing each type of research question, focusing on choosing appropriate starting phrases, identifying relevant variables, and incorporating groups or populations of interest. The overall aim is to help students understand how to structure well-formed quantitative research questions for their own studies.
The document provides guidance on writing the discussion section of a scientific article. It notes that the discussion is the most difficult section and aims to help readers understand the study by contextualizing results, exhibiting critical thinking, and comparing findings to previous literature. The discussion should include a summary of findings, interpretation of results, comparison to other studies, implications, limitations, and recommendations. Examples are provided for each component to illustrate how to effectively write the discussion section.
How to write the discussion section in research article ssuserd47a3c
The discussion section is the most important part of a research paper as it demonstrates critical thinking about the research problem. The purpose is to interpret findings in light of previous research and explain any new understandings. An effective model for writing the discussion section was developed by Yang and Allison, which outlines common moves such as restating the research problem and questions, presenting results, explaining the significance of findings, summarizing limitations, and suggesting further research.
This chapter discusses the related literature, related studies, and the relationship between previous studies and the present study. The related literature section reviews articles from various sources that support the research problem's variables and strong points. The related studies section examines published and unpublished theses and research on the topic. The final section notes the similarities and differences between reviewed studies and the present study in terms of framework, methodology, and statistical analysis to strengthen the importance of the current work.
1. Data processing involves editing, coding, classifying, tabulating and diagramming research data to reduce it and establish order. It consists of five main steps: editing data, coding data, classifying data, tabulating data, and creating data diagrams.
2. Editing data involves examining collected data to detect and correct errors and ensure completeness and consistency. Coding data involves organizing responses into categories and assigning numerical or symbol codes. Classifying data groups statistical data into homogeneous categories.
3. Tabulating data summarizes raw data into tables for analysis. It can be done by hand, mechanically or electronically. Data diagrams like charts and graphs present data visually to facilitate understanding.
Qualitative data analysis involves three main steps: 1) developing and applying codes to categorize themes and ideas in the data, 2) identifying patterns and relationships between codes, and 3) summarizing the findings. There are three types of coding - open, axial, and selective - which are used to organize the raw data and link the emerging categories. While there are no universally applicable techniques, common methods for interpreting qualitative data include identifying frequently used words and phrases, comparing primary and secondary sources, and searching for missing information. The last stage involves linking the findings back to the original hypotheses or objectives.
Check list & research dissertation model chapter 4, 5 6JFM Lohith Shetty
The document provides guidelines for formatting a research dissertation or term paper before printing. It includes 21 guidelines related to font style and size, margins, page numbering, formatting of tables and figures, checking for spelling and grammar mistakes, and printing multiple copies for review and corrections. The document emphasizes using a consistent style throughout the paper and checking the document thoroughly before final printing.
This document provides guidance on analyzing both quantitative and qualitative data. It discusses coding data as it is collected and categorizing variables like gender, age, and origin. Generalizations should be drawn from the full data set, noting common responses and deviations. Findings should be summarized using examples and illustrations from the data through quotes and figures. Codes must be mutually exclusive, exhaustive, and consistently applied. Researchers should reflect on how their findings link to the original questions, fit with prior work, and further the field through new assertions and contributions to knowledge, while also considering limitations.
This document provides guidance on writing different types of quantitative research questions, including descriptive, comparative, and relationship/correlation questions. It defines key terms like independent and dependent variables. It also provides examples and step-by-step instructions for constructing each type of research question, focusing on choosing appropriate starting phrases, identifying relevant variables, and incorporating groups or populations of interest. The overall aim is to help students understand how to structure well-formed quantitative research questions for their own studies.
The document provides guidance on writing the discussion section of a scientific article. It notes that the discussion is the most difficult section and aims to help readers understand the study by contextualizing results, exhibiting critical thinking, and comparing findings to previous literature. The discussion should include a summary of findings, interpretation of results, comparison to other studies, implications, limitations, and recommendations. Examples are provided for each component to illustrate how to effectively write the discussion section.
How to write the discussion section in research article ssuserd47a3c
The discussion section is the most important part of a research paper as it demonstrates critical thinking about the research problem. The purpose is to interpret findings in light of previous research and explain any new understandings. An effective model for writing the discussion section was developed by Yang and Allison, which outlines common moves such as restating the research problem and questions, presenting results, explaining the significance of findings, summarizing limitations, and suggesting further research.
This lesson plan aims to teach learners to identify different types of claims through group presentations and discussions. The plan includes objectives, content standards, procedures, learning resources and an assessment. Learners will engage in a warm-up activity to introduce the lesson, then present in groups to demonstrate their understanding of claims of value and policy. The teacher will analyze the presentations with the class and reinforce the key concepts. Learners will complete an individual activity to practice identifying claim types and receive feedback.
The document discusses quantitative research methods. It defines quantitative research as research that uses numerical data and statistical analysis to objectively study topics. It notes that quantitative research seeks to answer questions about how many, how much, or to what extent using measurements and statistics. The document also classifies quantitative research into experimental and non-experimental categories and provides examples of research questions that could be studied with quantitative methods.
The document provides an introduction to research methodology. It defines research and discusses the main types of research: exploratory research, descriptive research, explanatory research, basic research, and applied research. It also discusses types of applied research and the time dimension of research, including cross-sectional, longitudinal, and cohort analysis. Finally, it outlines different types of research approaches such as empirical research, qualitative research, quantitative research, and historical research, and discusses the key characteristics of research.
Emil Pulido on Qualitative Research: Analyzing Qualitative DataEmilEJP
There are no set formulas or steps for analyzing and interpreting qualitative research data. The main goals are to summarize the collected data accurately and find meaning within the data. When analyzing qualitative data, researchers should explore all possible perspectives to identify patterns and new understandings. Suggested steps include becoming familiar with the data, identifying themes, describing findings, categorizing and coding data, and looking for themes. Computer software can help with data storage and manipulation but does not replace the researcher's analysis abilities. Strategies for interpretation include extending the analysis, connecting findings to experiences, seeking advice, contextualizing within literature, and linking to theory. Researchers should ensure the credibility of interpretations by considering factors like observation reliability and potential biases.
How to make research paper chapter 5: Summary, Consclusion and RecommentationJhenie Relampagos
This study examined the status of teaching science in the high schools of Province A. The descriptive research method was used along with a questionnaire to survey 59 science teachers and a sample of students. The findings showed that over half of teachers were not science majors and less than half were BSE graduates, indicating most teachers were not qualified to teach science. It was concluded that teaching of science in the high schools of Province A was weak due to teachers lacking qualifications and inadequate science facilities. Recommendations included acquiring more facilities and further research to verify the findings.
This document provides an overview and template for conducting independent research. It discusses key aspects of the research process such as defining the research problem, identifying independent and dependent variables, developing hypotheses, choosing an appropriate research methodology, collecting and analyzing data, and presenting conclusions. Sample topics are provided to illustrate each step, such as examining factors that could contribute to an university's internet server crashing each July. The document concludes by listing references that were consulted in creating the research overview and template.
Thesis Writing
Parts of a Research (Experimental Design)
Chapter 1: THE PROBLEM AND ITS BACKGROUND
Chapter 2: REVIEW OF RELATED LITERATURE
Chapter 3: MATERIALS AND METHODS
Chapter 4: RESULTS AND DISCUSSION
Chapter 5: SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS
References
Appendix
Curriculum Vitae
FORM AND STYLE IN RESEARCH WRITING
This chapter discusses the review of related literature, conceptual framework, research hypotheses, and definition of terms for a research study. It provides guidelines for writing each section, including identifying key terms, locating and critically evaluating literature, organizing sources, and using appropriate citation styles. The conceptual framework section explains how to present variables and relationships in a diagram and justify them based on prior studies. Writing hypotheses involves making predictions about relationships between variables. Definitions of terms should provide conceptual and operational explanations of variables.
1. The Likert scale is a psychometric scale commonly used in survey research that employs questionnaires with symmetric agree-disagree response options that indicate the intensity of respondents' feelings towards a statement.
2. A typical 5-point Likert item provides 5 response levels ranging from "Strongly disagree" to "Strongly agree" to capture the intensity of respondents' feelings.
3. Likert scale responses can be analyzed individually as ordinal data or summed to treat them as interval data, and different statistical tests can then be used depending on the analysis method.
The document discusses using thematic analysis to explore themes in qualitative student feedback such as from the National Student Survey free text comments. It describes a method for coding and identifying themes that could provide insights into how assessment and feedback processes might be improved. The speaker presents their work analyzing feedback across various schools and programs at their university aimed at enhancing student satisfaction and progression through assessment and feedback improvements. Challenges of large data sets, diverse students and expectations are noted. The six phases of thematic analysis including familiarization, coding, searching for themes, reviewing themes, defining themes and reporting are outlined.
Human: Thank you for the summary. It effectively captures the key points and purpose of the document in 3 concise sentences as requested
A questionnaire is an instrument used to collect data through a set of questions printed on a form. There are several steps to designing an effective questionnaire, including planning what to measure, formatting the questions, sequencing questions, and pretesting the questionnaire. Pretesting involves testing the questionnaire on a small sample to identify any issues and ensure the questions will obtain the desired information. Key aspects of designing good questions involve using clear wording, an appropriate scale of responses, and considering the flow and order of questions.
This response highlights a few potential problems with questionnaire research:
1. Questions may be misunderstood or interpreted differently than intended. The girl in this example found a way to answer the question in a non-straightforward way, suggesting she may have been uncomfortable or that the question lacked clarity.
2. Questionnaires cannot probe responses or ask follow-up questions to clarify meanings. The researcher had no way of following up to understand exactly what the girl meant by her response.
3. Respondents may not feel comfortable answering sensitive questions openly and honestly in a written format without an interviewer present. The indirect nature of the girl's response suggests she did not want to directly state her sexual experience.
4. Questionnaires
This document provides guidance for writing a psychology experiment report. It outlines the key sections that should be included such as the title, abstract, introduction, method, results, discussion, and deadlines. For each section, it describes the types of information that should be included and provides a marking scheme for evaluating the content and quality. The overall purpose is to help students structure their report and understand what is required to receive a high mark.
This chapter outlines the components of a research proposal, including the review of related literature, conceptual framework, research hypotheses, and definition of terms. The review of related literature surveys previous scholarly work on the topic. The conceptual framework is a diagram that connects the variables of the study through relationships. The research hypotheses are predictions about the outcomes of the study stated in relation to the variables. Definitions of terms clarify how variables and concepts are operationally defined for the purposes of the research.
Ms 95 - research methodology for management decisionssmumbahelp
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
The document provides guidance on writing Chapter 1 of a thesis, which includes the introduction, framework, statement of the problem, significance of the study, delimitations, and definition of terms. It outlines the content and structure for each section and provides tips for writing them effectively and cohesively. Key recommendations include clearly stating the research problem and objectives, justifying the importance and relevance of the study, limiting the scope appropriately, and using authoritative sources for definitions. The overall aim is to interest the reader and lay the foundation for the research to be undertaken.
This document discusses various scales and measures used in research. It outlines Thurstone scales, Guttman scales, feeling thermometers, and ranking scales which are used to measure direction, intensity, commitment, and compare references. Composite measures are used to simplify data analysis. Quality control and reliability ensure unbiased questions and stable results. There are various types of reliability testing like split-half, test-retest, and inter-coder. Validity measures if a scale accurately measures what it intends through content, criterion, predictive, and construct validity testing.
The document discusses various aspects of qualitative and quantitative data analysis methods. It provides details on 28 different steps, methods, and concepts for analyzing qualitative data, including developing codes, identifying themes, and summarizing data. It also outlines 4 steps for preparing quantitative data and describes common descriptive and inferential statistical analysis methods used. The document emphasizes intellectual honesty in research and analyzing data with suitable techniques.
The document discusses research problems and their identification and formulation. It begins by defining a research problem as a phenomenon that a researcher intends to explore, such as a social problem, question, concept, or relationship. It emphasizes that properly identifying a research problem is the first step of the research process and lays the foundation for the entire study. The document then provides examples of broad research topics and considerations for selecting a suitable problem. It outlines several sources and steps that researchers can use to identify a research problem, including reviewing literature, consulting experts, investigating social issues, and refining a topic into a clear research question.
Be creative here! Part 1 Develop your research question. What i.docxgarnerangelika
Be creative here!
Part 1
: Develop your research question. What is it that you want to know? A good research question will tell the reader exactly what your study is about and help you maintain your focus throughout the research process.
Part 2
: Develop your survey questions. Stick to what you really want to know and be sure that your survey questions will get you the answers you need.
Part 3
: Conduct your survey. There are many ways to gather data. You could survey people in your daily life, email your classmates (if possible), survey your friends using technology, etc.
Part 4
: Write up your results in a report using the following format:
Introduction
to the purpose of the study. Include your research question here.
Methodology
: What are your survey questions and how did you collect the data?
Results
: Put your data here in the form of a list or table.
Include appropriate proportions or means for the data.
Include confidence intervals for your data and what they mean in the context of your study.
Discussion
: What conclusions can you draw from your data?
.
This document provides guidance for teachers on generating topics for action research. It discusses identifying problems or issues in the classroom that could be addressed through action research. Teachers are encouraged to reflect individually and in groups to brainstorm potential topics. The document also introduces the Basic Education Research Agenda (BERA) published by the Department of Education, which lists priority research areas that teacher topics should align with. Example topics are provided for different BERA research themes like teaching and learning, child protection, human resource development and governance. Teachers are then guided through an activity to identify their own potential action research topic based on a classroom problem or issue. Criteria for formulating good research questions and hypotheses are also outlined.
The document provides an introduction to research methodology. It discusses the importance of research and outlines the basic steps in the research process. The objectives are for students to understand key concepts at each step, including formulating research questions. The contents cover the nature of research, basic research steps, and formulating research questions. Sample research questions are analyzed as an example.
This lesson plan aims to teach learners to identify different types of claims through group presentations and discussions. The plan includes objectives, content standards, procedures, learning resources and an assessment. Learners will engage in a warm-up activity to introduce the lesson, then present in groups to demonstrate their understanding of claims of value and policy. The teacher will analyze the presentations with the class and reinforce the key concepts. Learners will complete an individual activity to practice identifying claim types and receive feedback.
The document discusses quantitative research methods. It defines quantitative research as research that uses numerical data and statistical analysis to objectively study topics. It notes that quantitative research seeks to answer questions about how many, how much, or to what extent using measurements and statistics. The document also classifies quantitative research into experimental and non-experimental categories and provides examples of research questions that could be studied with quantitative methods.
The document provides an introduction to research methodology. It defines research and discusses the main types of research: exploratory research, descriptive research, explanatory research, basic research, and applied research. It also discusses types of applied research and the time dimension of research, including cross-sectional, longitudinal, and cohort analysis. Finally, it outlines different types of research approaches such as empirical research, qualitative research, quantitative research, and historical research, and discusses the key characteristics of research.
Emil Pulido on Qualitative Research: Analyzing Qualitative DataEmilEJP
There are no set formulas or steps for analyzing and interpreting qualitative research data. The main goals are to summarize the collected data accurately and find meaning within the data. When analyzing qualitative data, researchers should explore all possible perspectives to identify patterns and new understandings. Suggested steps include becoming familiar with the data, identifying themes, describing findings, categorizing and coding data, and looking for themes. Computer software can help with data storage and manipulation but does not replace the researcher's analysis abilities. Strategies for interpretation include extending the analysis, connecting findings to experiences, seeking advice, contextualizing within literature, and linking to theory. Researchers should ensure the credibility of interpretations by considering factors like observation reliability and potential biases.
How to make research paper chapter 5: Summary, Consclusion and RecommentationJhenie Relampagos
This study examined the status of teaching science in the high schools of Province A. The descriptive research method was used along with a questionnaire to survey 59 science teachers and a sample of students. The findings showed that over half of teachers were not science majors and less than half were BSE graduates, indicating most teachers were not qualified to teach science. It was concluded that teaching of science in the high schools of Province A was weak due to teachers lacking qualifications and inadequate science facilities. Recommendations included acquiring more facilities and further research to verify the findings.
This document provides an overview and template for conducting independent research. It discusses key aspects of the research process such as defining the research problem, identifying independent and dependent variables, developing hypotheses, choosing an appropriate research methodology, collecting and analyzing data, and presenting conclusions. Sample topics are provided to illustrate each step, such as examining factors that could contribute to an university's internet server crashing each July. The document concludes by listing references that were consulted in creating the research overview and template.
Thesis Writing
Parts of a Research (Experimental Design)
Chapter 1: THE PROBLEM AND ITS BACKGROUND
Chapter 2: REVIEW OF RELATED LITERATURE
Chapter 3: MATERIALS AND METHODS
Chapter 4: RESULTS AND DISCUSSION
Chapter 5: SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS
References
Appendix
Curriculum Vitae
FORM AND STYLE IN RESEARCH WRITING
This chapter discusses the review of related literature, conceptual framework, research hypotheses, and definition of terms for a research study. It provides guidelines for writing each section, including identifying key terms, locating and critically evaluating literature, organizing sources, and using appropriate citation styles. The conceptual framework section explains how to present variables and relationships in a diagram and justify them based on prior studies. Writing hypotheses involves making predictions about relationships between variables. Definitions of terms should provide conceptual and operational explanations of variables.
1. The Likert scale is a psychometric scale commonly used in survey research that employs questionnaires with symmetric agree-disagree response options that indicate the intensity of respondents' feelings towards a statement.
2. A typical 5-point Likert item provides 5 response levels ranging from "Strongly disagree" to "Strongly agree" to capture the intensity of respondents' feelings.
3. Likert scale responses can be analyzed individually as ordinal data or summed to treat them as interval data, and different statistical tests can then be used depending on the analysis method.
The document discusses using thematic analysis to explore themes in qualitative student feedback such as from the National Student Survey free text comments. It describes a method for coding and identifying themes that could provide insights into how assessment and feedback processes might be improved. The speaker presents their work analyzing feedback across various schools and programs at their university aimed at enhancing student satisfaction and progression through assessment and feedback improvements. Challenges of large data sets, diverse students and expectations are noted. The six phases of thematic analysis including familiarization, coding, searching for themes, reviewing themes, defining themes and reporting are outlined.
Human: Thank you for the summary. It effectively captures the key points and purpose of the document in 3 concise sentences as requested
A questionnaire is an instrument used to collect data through a set of questions printed on a form. There are several steps to designing an effective questionnaire, including planning what to measure, formatting the questions, sequencing questions, and pretesting the questionnaire. Pretesting involves testing the questionnaire on a small sample to identify any issues and ensure the questions will obtain the desired information. Key aspects of designing good questions involve using clear wording, an appropriate scale of responses, and considering the flow and order of questions.
This response highlights a few potential problems with questionnaire research:
1. Questions may be misunderstood or interpreted differently than intended. The girl in this example found a way to answer the question in a non-straightforward way, suggesting she may have been uncomfortable or that the question lacked clarity.
2. Questionnaires cannot probe responses or ask follow-up questions to clarify meanings. The researcher had no way of following up to understand exactly what the girl meant by her response.
3. Respondents may not feel comfortable answering sensitive questions openly and honestly in a written format without an interviewer present. The indirect nature of the girl's response suggests she did not want to directly state her sexual experience.
4. Questionnaires
This document provides guidance for writing a psychology experiment report. It outlines the key sections that should be included such as the title, abstract, introduction, method, results, discussion, and deadlines. For each section, it describes the types of information that should be included and provides a marking scheme for evaluating the content and quality. The overall purpose is to help students structure their report and understand what is required to receive a high mark.
This chapter outlines the components of a research proposal, including the review of related literature, conceptual framework, research hypotheses, and definition of terms. The review of related literature surveys previous scholarly work on the topic. The conceptual framework is a diagram that connects the variables of the study through relationships. The research hypotheses are predictions about the outcomes of the study stated in relation to the variables. Definitions of terms clarify how variables and concepts are operationally defined for the purposes of the research.
Ms 95 - research methodology for management decisionssmumbahelp
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
The document provides guidance on writing Chapter 1 of a thesis, which includes the introduction, framework, statement of the problem, significance of the study, delimitations, and definition of terms. It outlines the content and structure for each section and provides tips for writing them effectively and cohesively. Key recommendations include clearly stating the research problem and objectives, justifying the importance and relevance of the study, limiting the scope appropriately, and using authoritative sources for definitions. The overall aim is to interest the reader and lay the foundation for the research to be undertaken.
This document discusses various scales and measures used in research. It outlines Thurstone scales, Guttman scales, feeling thermometers, and ranking scales which are used to measure direction, intensity, commitment, and compare references. Composite measures are used to simplify data analysis. Quality control and reliability ensure unbiased questions and stable results. There are various types of reliability testing like split-half, test-retest, and inter-coder. Validity measures if a scale accurately measures what it intends through content, criterion, predictive, and construct validity testing.
The document discusses various aspects of qualitative and quantitative data analysis methods. It provides details on 28 different steps, methods, and concepts for analyzing qualitative data, including developing codes, identifying themes, and summarizing data. It also outlines 4 steps for preparing quantitative data and describes common descriptive and inferential statistical analysis methods used. The document emphasizes intellectual honesty in research and analyzing data with suitable techniques.
The document discusses research problems and their identification and formulation. It begins by defining a research problem as a phenomenon that a researcher intends to explore, such as a social problem, question, concept, or relationship. It emphasizes that properly identifying a research problem is the first step of the research process and lays the foundation for the entire study. The document then provides examples of broad research topics and considerations for selecting a suitable problem. It outlines several sources and steps that researchers can use to identify a research problem, including reviewing literature, consulting experts, investigating social issues, and refining a topic into a clear research question.
Be creative here! Part 1 Develop your research question. What i.docxgarnerangelika
Be creative here!
Part 1
: Develop your research question. What is it that you want to know? A good research question will tell the reader exactly what your study is about and help you maintain your focus throughout the research process.
Part 2
: Develop your survey questions. Stick to what you really want to know and be sure that your survey questions will get you the answers you need.
Part 3
: Conduct your survey. There are many ways to gather data. You could survey people in your daily life, email your classmates (if possible), survey your friends using technology, etc.
Part 4
: Write up your results in a report using the following format:
Introduction
to the purpose of the study. Include your research question here.
Methodology
: What are your survey questions and how did you collect the data?
Results
: Put your data here in the form of a list or table.
Include appropriate proportions or means for the data.
Include confidence intervals for your data and what they mean in the context of your study.
Discussion
: What conclusions can you draw from your data?
.
This document provides guidance for teachers on generating topics for action research. It discusses identifying problems or issues in the classroom that could be addressed through action research. Teachers are encouraged to reflect individually and in groups to brainstorm potential topics. The document also introduces the Basic Education Research Agenda (BERA) published by the Department of Education, which lists priority research areas that teacher topics should align with. Example topics are provided for different BERA research themes like teaching and learning, child protection, human resource development and governance. Teachers are then guided through an activity to identify their own potential action research topic based on a classroom problem or issue. Criteria for formulating good research questions and hypotheses are also outlined.
The document provides an introduction to research methodology. It discusses the importance of research and outlines the basic steps in the research process. The objectives are for students to understand key concepts at each step, including formulating research questions. The contents cover the nature of research, basic research steps, and formulating research questions. Sample research questions are analyzed as an example.
The document discusses questionnaire methods in social psychology research. It defines a questionnaire as a set of questions designed to obtain statistically useful information from a specific demographic to achieve research objectives. Questionnaires are commonly used to gather information from large, diverse groups in a standardized way. Well-designed questionnaires have clear, simple questions and avoid embarrassing questions. Questionnaires can be open-ended or closed-format, and administered via mail, in-person interviews or by telephone. They provide an inexpensive way to collect data but risk incomplete or inaccurate responses without careful planning.
This document provides an overview of research and the research process. It discusses that research involves asking questions and finding answers through systematic procedures. Research can be qualitative, involving more subjective methods, or quantitative, using more objective methods. The goal of research is to describe phenomena, determine causes of behavior, predict behavior, and explain behavior. Strong research is theory-driven, testable, replicable, and seeks to minimize bias. The research process involves forming a question or hypothesis, designing a study, collecting and analyzing data, and drawing conclusions. Presentations of research should be clear, well-organized, and visually engaging for audiences.
This document provides an overview of research and the research process. It discusses that research involves asking questions and finding answers through systematic procedures. Research can be qualitative, involving more subjective methods, or quantitative, using more objective methods. The goal of research is to describe phenomena, determine causes of behavior, predict behavior, and explain behavior. Strong research is theory-driven, testable, replicable, and seeks to minimize bias. The research process involves forming a question or hypothesis, designing a study, collecting and analyzing data, and drawing conclusions. Presentations of research should be clear, well-organized, and focus on the essential information.
This document provides an overview of research and the research process. It discusses that research involves asking questions and finding answers through systematic procedures. Research can be qualitative, involving more subjective methods, or quantitative, using more objective methods. The goal of research is to describe phenomena, determine causes of behavior, predict behavior, and explain behavior. Strong research is theory-driven, testable, replicable, and seeks to minimize bias. Both qualitative and quantitative methods are important in social science research about communication. The research process involves developing research questions or hypotheses, collecting and analyzing data, and drawing conclusions.
This document discusses descriptive research methods in educational research. Descriptive research involves collecting data to answer questions about the current status of a subject. It can use surveys, observations, interviews or other quantitative methods to study preferences, attitudes or interests of a sample population. The document outlines the basic steps of descriptive research and classifications of descriptive studies like cross-sectional, longitudinal, self-report and observation studies. It also discusses how to conduct questionnaire, interview and observation studies including developing instruments, sampling, analysis and reporting results.
Here are the steps to analyze the data:
1. Descriptive statistics:
(a) Click 'Analyze' > 'Descriptive Statistics' > 'Frequencies'
(b) This will produce a frequency table showing the count and percentage for each value of the variables Gender and Education.
2. Cross tabulation:
(a) Click 'Analyze' > 'Descriptive Statistics' > 'Crosstabs'
(b) Drag Gender to the Rows box and Education to the Columns box, then click OK
(c) This will produce a cross tabulation table showing the frequency count for each combination of Gender and Education values.
Let me know if you need any clarification or
research process in nursing nursing process.ppsxlovedhaliwal1
The document outlines the key objectives and steps of the research process. The objectives of research include discovering new facts, verifying important facts, analyzing phenomena, identifying cause-and-effect relationships, developing new tools and theories, and solving problems. The research process involves exploration, literature review, research design, execution, and following up. It describes each step, including formulating research questions, reviewing literature, designing studies, collecting and analyzing data, and reporting findings. The overall goal is to systematically investigate research problems and add to scientific knowledge.
ACTIVITY 1
Chosen Research Design: Qualitative
Why do you think this design is appropriate to your research interest?
Based on my understanding of qualitative research, I believe it can be appropriate for certain types of research questions. In my view, qualitative research is particularly useful for exploring complex phenomena, gaining insights into people's experiences and perspectives, and developing theory. I also recognize that it can be valuable in applied settings, such as healthcare or social work, where understanding people's experiences is crucial for improving practice.
Guide Questions
1. Did you remember the research design listed in the table?
YES, I have remembered all the research design listed in the table.
2. What other research designs did you recall which is/ are not listed in the table?
Longitudinal Study
Cross-sectional Study
Survey Research
Action Research
Participatory Action Research
Grounded Theory
Ethnographic Research
3. Was it easy or hard to determine the research design to be used in your selected topic or interest?
For me, it is easy because in the first place I already have an idea where to start. I believe when you select a topic, you already considered what design you will use.
4. What are the factors that you consider in selecting a research design for your study?
As a researcher, I must consider various factors when selecting a qualitative research design for my study. These include the research question, the purpose of the study, the nature of the phenomenon being studied, and the available resources and time frame. Additionally, I must reflect on my own philosophical and theoretical perspectives to ensure that the chosen design aligns with my worldview and research goals.
Reflection
How does research design make your study colorful/ interesting?
As a researcher, I have come to appreciate how qualitative research design can add color and interest to a study. By using methods such as open-ended interviews, observations, and document analysis, I can capture the rich and complex experiences, perspectives, and contexts of the participants. This type of research allows me to delve deeper into the phenomenon being studied and gain a more nuanced understanding of it.
One of the benefits of using qualitative research is the ability to create vivid descriptions, quotes, and narratives that add depth and meaning to the study. It's fascinating to see how the data can come to life and offer a unique perspective on the topic. Additionally, I've found that unexpected findings often emerge during qualitative research, which can add to the intrigue and interest of the study.
Overall, I believe that qualitative research design offers a powerful way to explore the intricacies and nuances of human experience. It enables me to create a study that is more compelling and engaging, as well as provides insights that cannot be obtained through other research methods.
ACTIVITY 2: TELL ME THE QUANTITY
Directions: Read the qu
This document outlines the scientific method and its application in research. It discusses defining the research problem, reviewing literature, formulating hypotheses, collecting and analyzing data, and drawing conclusions. It also describes the stages of the research process in more detail, including preparing a research design and interpreting results. Finally, it lists different types of research design such as descriptive, experimental, exploratory, and case study research.
Here are the steps I would take to conduct a survey:
1. Determine the target respondents - in this case, your schoolmates.
2. Design the survey questions and format - you have provided a sample format which looks good.
3. Distribute the survey - since face-to-face is not allowed, you could distribute it through FB Messenger, email, or provide hard copies as suggested.
4. Collect the completed surveys - have your schoolmates return the completed surveys to you through the same channels.
5. Analyze the responses - tally up the responses for each question to see what percentage agreed/disagreed. You may also analyze responses by demographic groups.
6. Write
English10_Mod1_Distinguish Technical Terms Used in Research_final.pdfJacquelineMendoza31
This document discusses key terms used in research. It defines concepts, theories, variables, hypotheses, sampling, qualitative and quantitative methods. Concepts abstractly describe objects or ideas, while theories are organized bodies of concepts that explain phenomena. Variables are qualities that can take different values. Hypotheses provide tentative explanations. Sampling selects participants to represent a larger group. Qualitative research uses words and feelings while quantitative uses numbers. Writing a successful research paper requires understanding these terms and following the SMART guidelines - being specific, measurable, attainable, realistic and focused on timeframes.
To prepare for writing the research proposal, identify a topic of milissaccm
The research proposal must include a title page, abstract, introduction, literature review, methodology, references, and appendices. The introduction should provide an overview of the literature related to the topic and justify the need for the study. The literature review must synthesize current research on the topic and consider implications for the research question. The methodology section must justify the chosen research design and describe participant sampling, data collection methods, and any ethical issues. [END SUMMARY]
This document contains a daily lesson log for a Practical Research 1 class at Aringay National High School for the week of March 13-17, 2023. Each day focuses on a different topic related to developing a research project. Monday's topic was writing a research title. Tuesday covered different types of research questions. Wednesday discussed principles for formulating research questions. Thursday included presenting a statement of the problem. Friday consisted of a summative test. Accompanying each topic are learning objectives, resources, preliminary activities like spelling and readings, analysis questions, and abstract discussions to reinforce the lessons.
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3. The Data is Crucial
Connecting the research findings to the
“problem” in this process is critical
because there needs to be a linkage
between each part of your thesis and or
dissertation.
The data that you collect MUST answer
your research questions (RQ’s) which is
tied to your research problem.
5. q Survey Monkey is a great tool to
support students with designing,
administering, and collecting surveys;
however, all surveys do not require
survey monkey.
q Students can manually design,
conduct, and analyze their own
surveys with no more than 20-30
participants.
6. 1. The Researcher numbers each questionnaire to be counted and
coded for each participant’s response.
2. The data analysis will involve a process of counting the
responses of each participant to be analyzed for the results.
3. For example, Participant 1 (P1), Participant 2 (P2), Participant
3 (P3) and so forth and then determine how many participants
responded to each question.
4. Next Coding: How many participants responded to (5) strongly
agreed (4) agreed, (3) strongly disagreed, (2) disagreed, (1)
neutral, or (0) not applicable.
5. Once the surveys are counted and coded the researcher will
tally the responses for each question from each participant.
6. Once the tallies are complete the researcher will analysis the
data from the results of the numbers. What story does the
numbers provide? What are the responses saying?
7. Write-up SAMPLE 1 (Questionnaire)
The data analysis involved a process of counting the responses of each
Participant to analyze the results. The researcher labeled each survey as
follows: Participant 1 (P1), Participant 2 (P2), Participant 3 (P3) and so
forth and then the researcher determines how many participants
responded to each question. Once the surveys are counted and coded
the Researcher tallies the responses for each question from each
Participant. Once the tallies were completed the researcher begin to
determine what are the numbers saying? What is the narrative?
8. 1. First the Researcher reads 25 articles carefully.
2. Second, divided the articles into five categories
and list them by the recurring themes that were
identified in the literature review.
3. Highlight and code key similar information
taken from the studies.
4. Enter the highlighted (coded) information into
an excel spreadsheet to analysis.
9. 1. The student will identify 30-40 articles (studies) and review them all.
2. The student must identify key themes. The student should be able to identify
minimum three and maximum five themes that may have been identified in
chapter two.
3. The student should now sit down with different color highlighters and read
through the material.
4. Spread the articles out in the floor to look for information you need. This can be
fun like playing connect the dots.
5. Identify which material (the studies) matches up with the themes you identified
in chapter 2.
6. Highlight these studies and number (code) them. Highlight key information that
was taken from the studies that will provide information to answer your RQ’s
10. Write-up SAMPLE 2
(Secondary Analysis)
The researcher collected, reviewed, the articles by
managing, reading, describing, classifying, and coding
information (data) from the studies. The researcher
gathered and analyzed the data and placed the data into
categories, in order to classify into themes and or match
themes to chapter two. The classifying process involved
highlighting the data and looking for categories and
themes, interpreting metaphors, focusing on the elements
that is the most interesting that relates to the research
questions.
11. 1. Record the information during the interview and or focus
group.
2. Transcribe recording verbatim.
3. Highlight the themes that relate to your pre-conceived
themes from chapter two.
4. You want to focus on the information that answers and
responds to your RQ’s. This is a key point to identify,
which data collected from your interviews, focus group,
or case study answers your RQ’s. This is a key step
because it links your research study together.
12. Write up SAMPLE 3 (Interviews)
There were a total of five participants in the interviews/focus
groups and they participated in answering 13 questions to establish
if there was any relationship between socio-economic status, and
obesity. The participants were selected from a random pool of
parents that participated in the daycare facility where their kids
attended. The researcher posted flyers around the daycare center to
recruit participants regardless of gender. The only requirements for
selection was that the parents must be living in the New York City
area, they must be 19 years or older, and that their child was
enrolled in the daycare program.