This deals with the entire concept of research problem from why we need a research problem, sources of the research problem, evaluation of research problem, identification of research problem.
Ed200 research chapter 3 methodology(jan282012)Maria Theresa
This document discusses research design and methodology. It begins by defining research design as the plan or blueprint of a study that guides how data will be collected and analyzed. The document then covers various types of research designs including descriptive research, which aims to describe characteristics or phenomena. Descriptive research can be quantitative using surveys or qualitative with narrative descriptions. The key steps of historical research and descriptive research methods are also outlined.
Survey research is a non-experimental method used to collect data through questionnaires or interviews. There are several key steps to conducting survey research: 1) determining aims and objectives, 2) defining the target population, 3) designing and constructing the survey, 4) selecting a representative sample, 5) administering the survey, 6) analyzing and interpreting findings, 7) preparing a report, and 8) disseminating findings. Data can be collected through questionnaires administered via mail, group settings, or household drop-offs, or through structured or unstructured interviews.
This document provides an overview of quantitative research methodology. It discusses the key steps in the research process, including formulating a research problem, identifying variables, constructing hypotheses, research design, data collection methods, and establishing validity and reliability.
The main sections covered are formulating a research problem by identifying a topic and specifying research questions/objectives. Important considerations for selecting a problem include interest, magnitude, measurement, expertise, and ethics. Hypotheses are then constructed to focus the study and specify relationships to be tested. Research design and methods of data collection, such as surveys, are selected. Finally, validity and reliability of research instruments are established to ensure accurate and consistent measurement.
This document outlines the key aspects of conducting quantitative research, including:
1. Defining quantitative research and comparing it to qualitative research. Quantitative research relies on mathematical/statistical models and analysis of numeric data.
2. Describing common quantitative research designs such as descriptive, correlational, quasi-experimental, and true experimental designs.
3. Explaining the steps in the quantitative research process from defining the problem, designing the study, collecting and analyzing data, and interpreting results. Statistical software and appropriate statistical tests are important tools for analysis.
This document discusses quantitative research methods. It defines quantitative research as using numerical data to obtain objective information. The goals of quantitative research are to generalize findings, be objective, and test theories. The quantitative research process involves 10 steps: developing a theory and hypotheses, research design, defining concepts and variables, selecting respondents, data collection, data preparation, analysis, conclusions, and reporting. Several data collection methods are also discussed, including surveys, structured interviews, structured observations, and questionnaires.
Summary and conclusion - Survey research and design in psychologyJames Neill
This document provides an overview and summary of a lecture on survey research and design in psychology. It covers the following key points:
- Survey research involves using standardized questionnaires to collect data on psychological phenomena. It has become a popular social science method since the 1920s.
- Survey design considerations include whether the survey is self-administered or interview-based, the types of questions used, and response formats. Proper sampling and minimizing biases are also important.
- Analysis of survey data involves descriptive statistics, graphs, and correlations to describe and explore relationships in the data. Tools like exploratory factor analysis can be used to develop psychometric instruments. Multiple linear regression allows predicting outcomes from multiple variables.
This document provides information about quantitative research, including its characteristics, strengths, weaknesses, and types. It discusses how quantitative research uses objective measurements and statistical analysis of numerical data from sources like surveys and questionnaires. It also outlines the key parts of a research paper, including the problem statement, significance, scope, and references. The document is intended as a guide for learners to understand quantitative research methodology.
This document provides an overview of survey research methods. It discusses the history and uses of survey research, as well as strengths and weaknesses. Different survey methods like mail, telephone, and online surveys are examined. Key aspects of survey design like sampling, questionnaire construction, and question types are also reviewed. The document provides guidance on best practices for writing clear, unbiased questions and addressing issues that could influence responses.
The document discusses the differences between qualitative and quantitative research approaches. Qualitative research aims to understand perspectives and experiences through open-ended questions and interpretation, while quantitative research tests theories through numerical data and statistical analysis. Some key differences include qualitative being subjective versus quantitative being objective, and qualitative seeking to explore processes versus quantitative seeking to measure relationships and outcomes.
This document provides an overview of quantitative research approaches, specifically descriptive research and survey design. Descriptive research involves identifying characteristics of a phenomenon and exploring correlations. Surveys are used to collect data about attitudes, opinions, behaviors or characteristics of a population. There are different types of survey designs including cross-sectional, longitudinal, trend studies, cohort studies, and panel studies. The document also discusses guidelines for constructing questionnaires and interviews, such as making directions clear, avoiding biased questions, and ensuring anonymity of respondents.
Quantitative research involves objective measurements and the statistical analysis of numerical data. It seeks to gather large data sets from random samples to make generalizations across groups. Key characteristics include being objective, clearly defined, structured using questionnaires and surveys, and replicable. Common types include experimental, descriptive, and exploratory research. Strengths of quantitative research include its objectivity, use of statistical techniques, and ease of numerical data analysis.
Survey research is a commonly used method in the social sciences to gather information from a population sample. It involves asking questions of respondents through methods like interviews, questionnaires, or feedback forms. The goal of survey research is to collect data on attitudes and behaviors to understand a population as a whole. Key aspects of survey research include developing representative samples, considering sources of bias, and designing surveys that minimize influencing respondents. The process involves planning, sampling, questionnaire construction, data collection, analysis, and reporting conclusions.
Lesson 19 choosing an appropriate research designmjlobetos
This document outlines three main types of research design: exploratory, descriptive, and causal. Exploratory research is used to establish an initial understanding of a topic with little prior research. Descriptive research gathers information on current situations through surveys and correlations to describe who, what, when, where, and how. Causal research measures the impact of independent variables on dependent variables to explain cause-and-effect relationships. The three designs differ in their problem identification, sample sizes, hypotheses, and data management.
This document outlines the key elements of quantitative research including hypothesis testing, variables, sampling methods, measurement, validity and reliability, statistical analysis, and causal relationships. Quantitative research aims to systematically test hypotheses through precise standardized measurement and statistical analysis of numerical data. Variables are defined, data is collected from samples using standardized tools and procedures, and results are analyzed using statistical techniques to determine relationships between variables and test hypotheses. The goal is to explain phenomena through objective and replicable quantitative analysis.
This document discusses defining and selecting a research problem. It provides several criteria for selecting a good problem, including novelty, importance, interest to the researcher, and feasibility. A research problem refers to a difficulty a researcher wants to solve in a theoretical or practical context. A problem statement should clearly outline the problem in 1-2 sentences using the 5Ws (who, what, when, where, why). It should also address how the problem will be studied and tested. Characteristics of a good problem include being empirically testable and examining relationships between variables. Defining the problem sets the direction and goals of the study.
The document outlines the objectives and content of a survey design workshop. It discusses key topics like questionnaire design, levels of measurement, sampling, and implementation issues. The workshop aims to help participants understand rigorous survey planning, common survey methods, questionnaire design best practices, and critically reviewing example surveys.
This document provides an overview of key concepts from the first 7 chapters of the book "How to Design and Evaluate Research in Education" by Jack R. Fraenkel and Norman E. Wallen. The chapters discuss the nature of research, identifying research problems, variables and hypotheses, ethics, literature reviews, sampling, and instrumentation. Specifically, the document defines the scientific method, different types of research, and emphasizes that research conclusions are tentative. It also covers forming research questions and hypotheses, defining variables, ethical practices, reviewing previous literature, random and non-random sampling techniques, and ensuring valid and reliable data collection instruments.
This document discusses key concepts in survey and experimental design for quantitative research methods. It covers topics such as sampling techniques for surveys, controlling variables in experiments, potential biases in responses, and calculating sample sizes. Experimental designs aim to establish causation by manipulating an independent variable and measuring effects on a dependent variable. Trade-offs exist between internal validity achieved through control and external validity or generalizability of findings.
This document provides an overview of Q-sort methodology. It discusses that Q-sort involves presenting statements about a topic to respondents who then rank-order the statements from their own point of view. These individual rankings are analyzed using factor analysis to identify common viewpoints. The key steps are defining a statement pool called the concourse, developing the Q-set of statements, selecting participants as the P-set, having participants do the Q-sort ranking, and analyzing the results to identify common factors and viewpoints. The methodology combines qualitative and quantitative approaches to systematically study subjectivity and viewpoints.
This document outlines the steps for formulating a research problem:
1. Select a broad research area from literature and personal experience.
2. Review literature and theories to understand what has been done and how the research could expand knowledge or test theories.
3. Delimit the topic to a more specific research problem.
4. Evaluate the problem for significance, researchability, and feasibility considering factors like time, cost, and ethics.
5. Formulate a final statement of the research problem that is clear, concise, and measurable.
This document outlines the steps for formulating a research problem:
1. Select a broad research area from literature and personal experience.
2. Review literature and theories to understand what has been done and how the research could expand knowledge or test theories.
3. Delimit the topic to a more specific research problem.
4. Evaluate the problem for significance, researchability, and feasibility considering factors like time, cost, and ethics.
5. Formulate a final statement of the research problem that is clear, concise, and measurable.
The document discusses defining a research problem through several key points:
1) A research problem identifies an area that needs further investigation to address a gap in knowledge or understanding. It questions an issue but does not propose a solution.
2) Sources for identifying problems include a researcher's field of study, social and economic trends, existing programs/initiatives, observations, and literature.
3) In selecting a problem, considerations include the topic's uniqueness, significance, researcher's expertise and interest, available resources and data, and ethics. A well-defined research problem is important to successfully conduct meaningful research.
Business Research Methods - Identification of Research Problem, Literature Re...SOMASUNDARAM T
This document provides information on researching and defining a research problem. It begins by defining a research problem and explaining the purpose of a problem statement. It describes identifying a research problem through literature reviews, discussions, and rephrasing. The document also covers types of research problems, characteristics of a good statement, and techniques for defining a problem. Finally, it discusses identifying a problem through deductions from theory, interdisciplinary perspectives, and practitioner interviews.
RESEARCH PROBLEM PRESENTATION WITH GAMES
-SOURCES OF RESEARCH PROBLEM
-TOPIC IDENTIFICATION
-ELEMENTS OF RESEARCH PROBLEM
-CHARACTERISTICS OF GOOD RESEARCH PROBLEM
This document discusses identifying and stating the research problem. It covers sources of research topics, identifying the research gap, components to consider in establishing the research gap, criteria for choosing a research problem, and how to write the background, statement, objectives and questions of the research problem. The example provided discusses evaluating the implementation of blended learning for nursing subjects in terms of teachers' and students' perceptions. It lists the specific research questions regarding respondents' profiles and their perceptions of various aspects of blended learning implementation.
Problem Formulation or Defining a Research Problem.pptxMrinalUpadhyay5
This document discusses problem formulation in research. It defines a research problem as a difficulty a researcher experiences that they want to solve, either theoretically or practically. There are two types of research problems - those relating to states of nature and those relating to variable relationships. Formulating the problem is the most important stage and determines subsequent research stages and steps. The steps in problem formulation are: 1) identifying potential problems or questions, 2) selecting a specific problem or question to study, 3) formulating the study objective, and 4) clarifying the objective. Clarifying involves operationalizing concepts, determining the study time period and location, identifying the target population, and choosing optimal data sources.
The document discusses identifying, defining, and analyzing a research problem. It provides several potential sources of a research problem, including personal experience, literature reviews, and discussions with others. It also lists criteria for selecting an acceptable research problem, such as whether the topic is researchable, significant, and feasible within the resources and experience of the researcher. Finally, it outlines steps for analyzing a research problem, such as identifying the general problem, dissecting it into specific questions, selecting the core problem, and analyzing it.
Research identification of the problemGunjan Verma
This document outlines the steps in the educational research process. It begins by defining research and noting that the first step is identifying and defining the problem. The key steps in identifying a problem are: selecting an area of interest; delimiting the problem by clarifying and limiting the scope; and evaluating whether the problem is researchable, new, significant, and feasible given the researcher's skills. Sources for identifying problems include personal experience, professional literature, contacts, suggestions, and social/technological changes. Once identified, the problem is further refined through operational definitions before hypotheses are formulated.
This document discusses key aspects of defining a research problem, including:
1. A research problem is an issue, controversy, or concern that guides the need for a study, and represents a gap between expectations and reality.
2. Potential sources of research problems include personal experience, theory, previous research, and scientific discussions.
3. A good research problem is significant, interesting to the researcher, feasible to study, and researchable using available methods and data. The problem should also be clearly identified and limited in scope.
4. Research problems are typically stated as questions and form the basis for hypotheses, research design, and the overall study title. The problem statement should be clear, concise and imply
This document discusses research problems and how to formulate them. It defines a research problem as a question a researcher wants to answer or a problem they want to solve. Some key points made include: sources of research problems can come from experiences, interests, theories, or areas needing development. Problems should be significant, answerable through research, and feasible given resources. The problem should then be delimited to narrow the scope and formulate good research questions that are descriptive, relational, or causal in nature.
This document outlines guidelines for conducting educational research within the Department of Education in the Philippines. It discusses establishing a research focus in priority areas of basic education to build on existing research and generate new knowledge. Research must follow principles of relevance, appropriate methodology, logical findings, ethics, accuracy, collaboration, and truthful dissemination. Examples of research themes and structures for writing different sections of a research proposal are provided, such as introducing the problem and solution, reviewing literature, and describing methodology.
This document discusses defining and selecting a good research problem. It explains that a research problem exists if there is a difficulty, objectives to be met, alternative solutions, and uncertainty. When selecting a problem, the researcher should consider factors like feasibility, familiarity, and importance. Defining the problem involves specifically stating it, understanding it, reviewing literature, and refining it. Sources of problems in nursing research come from practice, education, administration, societal trends, and theory. Selecting a good problem considers interest, scope, expertise, relevance, and ethics. The statement of the problem should capture attention, be researchable, indicate scope, and give purpose.
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.
1. Formulating a research problem is an important step that outlines the research process and study. A research problem addresses a gap in knowledge or contradiction and helps define the aim and scope of a study.
2. Characteristics of a good research problem include reflecting on issues in a field, relying on evidence, and being practical. Researchers must evaluate if a problem is researchable, novel, and significant.
3. Sources for identifying research problems include professional experience, literature reviews, theories, and social or technological changes within a field. Defining a well-structured problem helps create focused, innovative research.
The document discusses research problem statements and their components. It provides definitions of a research problem and notes that a good problem statement clearly describes the issue to be addressed, generates the research questions, and identifies gaps in previous literature. It emphasizes that a problem statement should synthesize past related studies and identify what is yet to be investigated to justify the study. It also lists criteria for evaluating problem statements and their key parts such as describing the problem significance, discussing previous research, and stating the study purpose and scope.
The document discusses key aspects of selecting and formulating a research problem, including:
1. Sources of research problems include reading, academic/daily experience, field exposure, consultations, and intuition.
2. The process of identifying a problem involves selecting a discipline, identifying a specific aspect, and then topics within that area.
3. Important criteria for problem selection are the researcher's interests/competence and the problem's researchability, importance, novelty, and usefulness.
4. Formulating the problem involves developing a title, conceptual model, objectives, questions, hypotheses, and defining concepts operationally.
This document summarizes a lesson plan for a 12th grade Practical Research 2 class. The lesson focuses on research scope and delimitation, problem statements, and conceptual frameworks. Key activities include dividing students into groups to identify the scope and delimitation of sample research topics, writing problem statements based on provided research articles, and developing conceptual frameworks and presentations for assigned research questions. The teacher evaluates student understanding through essay questions and notes that additional remedial activities may be needed for students scoring below 80%.
The document defines a research problem and outlines the process of identifying and formulating a research problem. It discusses that a research problem is an unanswered question a researcher encounters in a theoretical or practical situation. The key steps in defining a research problem are to identify potential problems, select one problem to study, and precisely formulate the research question or objective. Formulating a clear research problem is essential for developing a strong research design and methodology.
Split Shifts From Gantt View in the Odoo 17Celine George
Odoo allows users to split long shifts into multiple segments directly from the Gantt view.Each segment retains details of the original shift, such as employee assignment, start time, end time, and specific tasks or descriptions.
How to Show Sample Data in Tree and Kanban View in Odoo 17Celine George
In Odoo 17, sample data serves as a valuable resource for users seeking to familiarize themselves with the functionalities and capabilities of the software prior to integrating their own information. In this slide we are going to discuss about how to show sample data to a tree view and a kanban view.
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894PECB
As artificial intelligence continues to evolve, understanding the complexities and regulations regarding AI risk management is more crucial than ever.
Amongst others, the webinar covers:
• ISO/IEC 42001 standard, which provides guidelines for establishing, implementing, maintaining, and continually improving AI management systems within organizations
• insights into the European Union's landmark legislative proposal aimed at regulating AI
• framework and methodologies prescribed by ISO/IEC 23894 for identifying, assessing, and mitigating risks associated with AI systems
Presenters:
Miriama Podskubova - Attorney at Law
Miriama is a seasoned lawyer with over a decade of experience. She specializes in commercial law, focusing on transactions, venture capital investments, IT, digital law, and cybersecurity, areas she was drawn to through her legal practice. Alongside preparing contract and project documentation, she ensures the correct interpretation and application of European legal regulations in these fields. Beyond client projects, she frequently speaks at conferences on cybersecurity, online privacy protection, and the increasingly pertinent topic of AI regulation. As a registered advocate of Slovak bar, certified data privacy professional in the European Union (CIPP/e) and a member of the international association ELA, she helps both tech-focused startups and entrepreneurs, as well as international chains, to properly set up their business operations.
Callum Wright - Founder and Lead Consultant Founder and Lead Consultant
Callum Wright is a seasoned cybersecurity, privacy and AI governance expert. With over a decade of experience, he has dedicated his career to protecting digital assets, ensuring data privacy, and establishing ethical AI governance frameworks. His diverse background includes significant roles in security architecture, AI governance, risk consulting, and privacy management across various industries, 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: June 26, 2024
Tags: ISO/IEC 42001, Artificial Intelligence, EU AI Act, ISO/IEC 23894
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
Join educators from the US and worldwide at this year’s conference, themed “Strategies for Proficiency & Acquisition,” to learn from top experts in world language teaching.
Webinar Innovative assessments for SOcial Emotional SkillsEduSkills OECD
Presentations by Adriano Linzarini and Daniel Catarino da Silva of the OECD Rethinking Assessment of Social and Emotional Skills project from the OECD webinar "Innovations in measuring social and emotional skills and what AI will bring next" on 5 July 2024
How to Add Colour Kanban Records in Odoo 17 NotebookCeline George
In Odoo 17, you can enhance the visual appearance of your Kanban view by adding color-coded records using the Notebook feature. This allows you to categorize and distinguish between different types of records based on specific criteria. By adding colors, you can quickly identify and prioritize tasks or items, improving organization and efficiency within your workflow.
Front Desk Management in the Odoo 17 ERPCeline George
Front desk officers are responsible for taking care of guests and customers. Their work mainly involves interacting with customers and business partners, either in person or through phone calls.
The Value of Time ~ A Story to Ponder On (Eng. & Chi.).pptxOH TEIK BIN
A PowerPoint presentation on the importance of time management based on a meaningful story to ponder on. The texts are in English and Chinese.
For the Video (texts in English and Chinese) with audio narration and explanation in English, please check out the Link:
https://www.youtube.com/watch?v=lUtjLnxEBKo
Beyond the Advance Presentation for By the Book 9John Rodzvilla
In June 2020, L.L. McKinney, a Black author of young adult novels, began the #publishingpaidme hashtag to create a discussion on how the publishing industry treats Black authors: “what they’re paid. What the marketing is. How the books are treated. How one Black book not reaching its parameters casts a shadow on all Black books and all Black authors, and that’s not the same for our white counterparts.” (Grady 2020) McKinney’s call resulted in an online discussion across 65,000 tweets between authors of all races and the creation of a Google spreadsheet that collected information on over 2,000 titles.
While the conversation was originally meant to discuss the ethical value of book publishing, it became an economic assessment by authors of how publishers treated authors of color and women authors without a full analysis of the data collected. This paper would present the data collected from relevant tweets and the Google database to show not only the range of advances among participating authors split out by their race, gender, sexual orientation and the genre of their work, but also the publishers’ treatment of their titles in terms of deal announcements and pre-pub attention in industry publications. The paper is based on a multi-year project of cleaning and evaluating the collected data to assess what it reveals about the habits and strategies of American publishers in acquiring and promoting titles from a diverse group of authors across the literary, non-fiction, children’s, mystery, romance, and SFF genres.
Understanding and Interpreting Teachers’ TPACK for Teaching Multimodalities i...Neny Isharyanti
Presented as a plenary session in iTELL 2024 in Salatiga on 4 July 2024.
The plenary focuses on understanding and intepreting relevant TPACK competence for teachers to be adept in teaching multimodality in the digital age. It juxtaposes the results of research on multimodality with its contextual implementation in the teaching of English subject in the Indonesian Emancipated Curriculum.
How to Configure Time Off Types in Odoo 17Celine George
Now we can take look into how to configure time off types in odoo 17 through this slide. Time-off types are used to grant or request different types of leave. Only then the authorities will have a clear view or a clear understanding of what kind of leave the employee is taking.
2. Research Problem
• Whitney
• “A problem is a question proposed for a solution
generally speaking a problem exists when there
is a no available answer to same question.”
3. Identification of a Research Problem:
1) Determining the field of research in which a researcher intends to do the
research work.
2) The researcher should develop the mastery on the area, or it should be the field
of his specialization.
3) He should review the research conducted in area to know the recent trend and
studies are being conducted in the area.
4) Based on review, he should consider the priority field of the study.
5) He should draw an analogy and insight in identifying a problem or employ his
personal experience of the field in locating the problem. He may take help of
supervisor or expert of the field.
6) He should pinpoint specific aspect of the problem which is to be investigated.
4. The Sources of the Problem
(i) The classroom, school, home, community and other agencies of education are
obvious sources.
(ii) Social developments and technological changes
(iii) Record of previous research
(iv) Textbook assignments, special assignments, reports and term papers
(v) Discussions-Classroom discussions,
(vi) Questioning attitude
(vii) to consult supervisor, experts of the field and most experienced persons of the
field.
5. Statement of Problem:
By Kerlinger
• 1. A problem should be concerned with relation between two or more variables.
• 2. It should be stated ‘clearly and unambiguously in question form’.
• 3. It should be amenable to empirical testing.
6. Objectives of Assumptions about the Problem:
1. To make the research work feasible.
2. To delimit the scope of the problem.
3. To establish the proper frame of reference.
7. Aspects of Delimiting a Problem:
1. Delimited to certain variables that should be mentioned clearly in the
problem.
2. Delimited to the area or level as primary level, secondary level, college
or university level.
3. Delimited to size of sample, considering the time, energy and money.
4. Delimited to the best method only.
5. Delimited to the best available tool for measuring the variable.
6. Delimited to the most appropriate techniques.
8. Evaluation of the Problem:
1. Is the Problem
Researchable?
2. Is the Problem New? 3. Is the Problem
Significant?
4. Is the Problem Feasible
for the Particular
Researcher?
9. A Feasible Problem
a) Research competencies of the Researcher
b) Interest and enthusiasm of the Researcher
c) Financial consideration in the Project
d) Time requirement for the Project
e) Administrative considerations in the Project.
10. Formulation of Research Problem
1) Specify your research objectives
2) Review its context or environment
3) Explore its nature
4) Determine variable relationships
5) Alternative approaches