The document provides guidance on conducting research. It recommends identifying an issue or problem to study, reviewing existing literature on the topic, planning and conducting a study, and publishing the results. It then discusses different dimensions of research projects, including the topic, novelty, scope, methodology, and intended utility. Finally, it notes that most research projects involve elements from multiple dimensions and can be positioned in a multidimensional conceptual space.
This document discusses different dimensions for characterizing research projects, including topic, novelty, technology, scope, mode, methods, ideology, politics, and utility. It provides examples of different types of projects that fall under each dimension, such as observational vs. interventionist studies. The document emphasizes that research projects can be understood as existing in a multidimensional space defined by these dimensions, and that considering all relevant dimensions is important for designing and conducting a high-quality project.
1) Psychology research aims to understand human behavior scientifically. It relies on empirical research methods to test hypotheses and establish causal relationships.
2) There are several types of descriptive research methods, including case studies, surveys, and naturalistic observation. However, these are limited because they cannot prove causation.
3) Experimental methods allow researchers to test hypotheses about cause-and-effect relationships by manipulating the independent variable and measuring its impact on the dependent variable. Control groups help rule out alternative explanations.
The document provides an overview of the research methodology process. It defines what research is, discusses key aspects like developing research topics and problems, conducting literature reviews, formulating hypotheses or research questions, collecting and analyzing data, interpreting results, and identifying limitations. The full research process is described as cyclic in nature, with later stages sometimes requiring revisiting earlier work. Common issues in research like defining terms and assumptions are also outlined.
This document discusses defining research questions and the key components of developing good research questions. It begins by explaining that well-crafted research questions guide systematic research planning and enable the design of studies that can effectively answer the questions. There are three main types of research questions: descriptive questions that seek to describe phenomena, relationship questions that investigate associations between variables, and difference questions that make comparisons between groups. The document emphasizes that good research questions should be clearly linked to research goals, guide appropriate data collection and analysis, and be feasible, interesting, novel, relevant and ethical. It provides examples of each type of research question and discusses problem distillation and writing a clear problem statement.
This document discusses key concepts in research methods. It defines what constitutes a science, including being based on empirical evidence, being objective and falsifiable. It also discusses peer review which ensures research quality, and some of its limitations. Different research designs are examined like experiments, observations and surveys. Ethical issues in research and ways to address them are outlined. The document also covers reliability and validity, important considerations in research quality. Sampling methods and their pros and cons are defined. Finally, it provides guidance on how to structure answers when discussing research methods concepts or studies.
This document outlines the agenda for an upcoming research methods class. It will include teams presenting, a review of assignment 2, outside readings from the first three weeks, and a review of assignment 3. There will also be time for questions and discussion.
This document discusses identifying and formulating a research problem. It explains that a research problem is a question a researcher wants to answer or a problem they want to solve. Selecting a good research problem depends on factors like the researcher's knowledge and interests. The identification of a research problem is the first step in the research process. Common sources for research problems include personal and practical experience, literature reviews, previous research, theories, and discussions with experts. Formulating a clear research problem with relevant components is an important but challenging part of the research process.
I’m a young Pakistani Blogger, Academic Writer, Freelancer, Quaidian & MPhil Scholar, Quote Lover, Co-Founder at Essar Student Fund & Blueprism Academia, belonging from Mehdiabad, Skardu, Gilgit Baltistan, Pakistan.
I am an academic writer & freelancer! I can work on Research Paper, Thesis Writing, Academic Research, Research Project, Proposals, Assignments, Business Plans, and Case study research.
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Management Sciences, Business Management, Marketing, HRM, Banking, Business Marketing, Corporate Finance, International Business Management
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This document discusses different dimensions for characterizing research projects, including topic, novelty, technology, scope, mode, methods, ideology, politics, and utility. It provides examples of different types of projects that fall under each dimension, such as observational vs. interventionist studies. The document emphasizes that research projects can be understood as existing in a multidimensional space defined by these dimensions, and that considering all relevant dimensions is important for designing and conducting a high-quality project.
1) Psychology research aims to understand human behavior scientifically. It relies on empirical research methods to test hypotheses and establish causal relationships.
2) There are several types of descriptive research methods, including case studies, surveys, and naturalistic observation. However, these are limited because they cannot prove causation.
3) Experimental methods allow researchers to test hypotheses about cause-and-effect relationships by manipulating the independent variable and measuring its impact on the dependent variable. Control groups help rule out alternative explanations.
The document provides an overview of the research methodology process. It defines what research is, discusses key aspects like developing research topics and problems, conducting literature reviews, formulating hypotheses or research questions, collecting and analyzing data, interpreting results, and identifying limitations. The full research process is described as cyclic in nature, with later stages sometimes requiring revisiting earlier work. Common issues in research like defining terms and assumptions are also outlined.
This document discusses defining research questions and the key components of developing good research questions. It begins by explaining that well-crafted research questions guide systematic research planning and enable the design of studies that can effectively answer the questions. There are three main types of research questions: descriptive questions that seek to describe phenomena, relationship questions that investigate associations between variables, and difference questions that make comparisons between groups. The document emphasizes that good research questions should be clearly linked to research goals, guide appropriate data collection and analysis, and be feasible, interesting, novel, relevant and ethical. It provides examples of each type of research question and discusses problem distillation and writing a clear problem statement.
This document discusses key concepts in research methods. It defines what constitutes a science, including being based on empirical evidence, being objective and falsifiable. It also discusses peer review which ensures research quality, and some of its limitations. Different research designs are examined like experiments, observations and surveys. Ethical issues in research and ways to address them are outlined. The document also covers reliability and validity, important considerations in research quality. Sampling methods and their pros and cons are defined. Finally, it provides guidance on how to structure answers when discussing research methods concepts or studies.
This document outlines the agenda for an upcoming research methods class. It will include teams presenting, a review of assignment 2, outside readings from the first three weeks, and a review of assignment 3. There will also be time for questions and discussion.
This document discusses identifying and formulating a research problem. It explains that a research problem is a question a researcher wants to answer or a problem they want to solve. Selecting a good research problem depends on factors like the researcher's knowledge and interests. The identification of a research problem is the first step in the research process. Common sources for research problems include personal and practical experience, literature reviews, previous research, theories, and discussions with experts. Formulating a clear research problem with relevant components is an important but challenging part of the research process.
I’m a young Pakistani Blogger, Academic Writer, Freelancer, Quaidian & MPhil Scholar, Quote Lover, Co-Founder at Essar Student Fund & Blueprism Academia, belonging from Mehdiabad, Skardu, Gilgit Baltistan, Pakistan.
I am an academic writer & freelancer! I can work on Research Paper, Thesis Writing, Academic Research, Research Project, Proposals, Assignments, Business Plans, and Case study research.
Expertise:
Management Sciences, Business Management, Marketing, HRM, Banking, Business Marketing, Corporate Finance, International Business Management
For Order Online:
Whatsapp: +923452502478
Portfolio Link: https://blueprismacademia.wordpress.com/
Email: arguni.hasnain@gmail.com
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Linkedin: arguni_hasnain
Instagram : arguni.hasnain
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The document discusses hypotheses in research. It defines a hypothesis as a proposed explanation or relationship between variables that can be tested. It outlines the key elements of formulating a hypothesis, including stating null and alternative hypotheses, determining sample size and significance level, choosing appropriate test statistics, and making conclusions. Examples of properly formulated hypotheses are provided. The document emphasizes that hypotheses should be written before a study and not altered based on results. It also discusses the purpose and advantages of hypotheses in guiding research design and interpretation.
This document discusses concepts and measurement in research. It defines key terms like concept, measurement, scale, and index. It explains that a concept needs to be both conceptualized and operationalized for measurement. Conceptualization involves developing a theoretical definition, while operationalization links this to specific measurement procedures through dimensions and elements. An example is provided on operationalizing job satisfaction, including potential dimensions like work, pay, promotion opportunities, and developing survey statements to measure elements of each dimension. Different types of scales are outlined, including nominal, ordinal, interval, and ratio scales. Finally, the document distinguishes between a scale, which arranges responses on a continuum, and an index, which combines multiple indicators into a single score.
The research problem statement is one of the first steps in developing a Doctoral Thesis proposal. It is the starting point of the research process. Identifiable aspects of a research problem include something is broken, it has a cause and effect relationship, and there are initial observations and evidence mentioned. Developing a research problem statement from an identified problem isn’t easy but is an essential step in the thesis proposal process. To assist in the what and how, the Doctorate Hub team has been putting together this slideshow.
This document outlines issues related to research and class room research. It discusses identifying an appropriate research topic and guide. Finance is a major issue, including costs of experiments, materials, and attending conferences. Identifying the right research topic depends on the guide's specialization and interests of other students. The relationship between guides and students can impact research. Research scholars must develop skills like acquiring knowledge, problem solving, and being lifelong learners with self-discipline. Classroom research examines best practices for teaching-learning processes and evaluating students based on Bloom's taxonomy. Research outcomes from books discuss findings on the 10,000 hours rule for expertise and characteristics of cheating teachers.
Characteristics of a good researcher - am i a researcher?Dr. Mazlan Abbas
Presentation to IIUM - Industry Talk
March 15, 2013 @ 3.00pm
Auditorium B, E2-Level 2,
Kulliyyah of Engineering
International Islamic University Malaysia (IIUM),
Gombak, Malaysia
This document provides an overview of research methodology. It discusses what research is, key characteristics of research including being controlled, rigorous, systematic, valid and verifiable. The document outlines the typical steps in the research process, including formulating a research problem, literature review, identifying variables, constructing hypotheses, research design, developing instruments, sampling, the research proposal, data collection, processing, and writing the report. Key aspects of each step are defined and discussed at a high level.
Research Challenges - Characteristics of a Good Researcher Dr. Mazlan Abbas
This document discusses characteristics of good researchers and challenges in research. It provides definitions of basic and applied research, explaining that basic research expands knowledge while applied research solves practical problems. It also distinguishes between degrees (Bachelor's), Masters, and PhDs, illustrating how each level deepens knowledge in a specialty area. The document notes that choosing a good research problem takes time and is subjective. It also outlines common research approaches like mathematical modeling, simulation, and experimentation, and discusses managing researchers and their expectations around creativity and knowledge generation.
Business Research Method RESEARCH QUESTION HYPOTHESISOsama Yousaf
This document discusses key concepts in developing a research question and hypothesis for a research project. It defines a research question as expressing a gap in existing literature and being the core of a dissertation by answering it. A hypothesis is defined as a tentative answer to a research question that can be tested, and helps indicate the direction of the investigation. The document outlines best practices for formulating clear and testable hypotheses and different types of research questions such as what, why and how questions.
Presentation done to JOOUST staff to highlight challenges facing young researchers on writing grants winning proposals at the commencement of their carriers.
This document provides an overview of case study research. It defines case study as a qualitative approach that focuses on a bounded system. Case study is not a methodological choice but a choice of what to study. It can be used to answer descriptive and explanatory questions. There are three main types of case studies: intrinsic, instrumental, and collective. Case studies are particularistic, descriptive, and heuristic. They involve collecting data through various techniques. Cross-site analysis strategies help compare multiple cases. Case studies have strengths like providing an in-depth understanding but also limitations such as subjectivity. Examples of famous case studies include studies of Genie the feral child and Jill Price.
This document discusses how to generate a research problem and formulate a research question. It explains that the research question is the most important part of a research proposal as it defines the research and guides the inquiry. The document provides guidance on developing a good research question, including that it should be feasible, interesting, novel, ethical, and relevant. It also describes different types of research questions such as those asking about existence, description, relationships, causality, and comparisons. Overall, the key aspects covered are identifying a research problem and narrowing it down to a specific research question.
A case simulates a real-world situation and provides context for analysis and discussion. It presents significant issues without conclusions and requires students to think critically to develop inferences and determine the best conclusions or decisions based on the evidence provided. Analyzing a case involves breaking it down into its constituent parts to understand relationships and develop hypotheses to explain problems or guide decisions. The process is iterative and involves defining the situation, asking questions, developing hypotheses, assessing evidence to prove hypotheses, and considering alternatives. Case discussions are collaborative learning opportunities to develop arguments and learn from others' perspectives.
Research seminar lecture_4_research_questionsDaria Bogdanova
This document provides guidance on developing key components of a research proposal, including the title, literature review, research questions, hypotheses, and research methods. It emphasizes that developing a good research question is the most important part of the research process. Research questions should be narrow, fit the research objectives, and structure the thesis by defining what will be answered. The document also distinguishes between different types of research questions and variables, and describes experimental and quasi-experimental research designs.
Research problem is a question that researcher wants to answer or a problem that a researcher wants to solve Identification & formulation of a research problem is the first step of the research process.
This document discusses elements of research design, including:
1. The purpose of a study can be exploratory, descriptive, or for hypothesis testing. Exploratory studies investigate unknown phenomena, descriptive studies characterize variables, and hypothesis testing examines relationships.
2. Types of investigation include causal studies that establish cause-and-effect and correlational studies that identify associated factors.
3. The extent of researcher interference ranges from minimal in correlational studies to manipulation and control in causal studies.
This document discusses key aspects of qualitative case study research. It outlines that case studies allow for an in-depth exploration of a phenomenon within its real-life context. The document discusses different approaches to case studies by researchers like Yin, Stake and Creswell. It also addresses important considerations for case study research like purposefully defining the case, collecting multiple sources of data, ensuring validity and ethics, and producing engaging written reports for academic audiences.
1. Research requires defining a problem, conducting an extensive literature review to understand what is already known, and developing testable hypotheses to guide further investigation.
2. The research process involves formulating a problem, surveying existing literature, developing hypotheses, designing a study, determining appropriate sampling methods, collecting data, analyzing results, and drawing conclusions. Careful planning at each step helps ensure efficient and effective research.
3. Data collection methods include experiments to test hypotheses as well as surveys using techniques like questionnaires, interviews, and observations. The choice of methods depends on the problem, available resources, and goals of the study.
The document discusses hypotheses in research. It defines a hypothesis as a proposed explanation or relationship between variables that can be tested. It outlines the key elements of formulating a hypothesis, including stating null and alternative hypotheses, determining sample size and significance level, choosing appropriate test statistics, and making conclusions. Examples of properly formulated hypotheses are provided. The document emphasizes that hypotheses should be written before a study and not altered based on results. It also discusses the purpose and advantages of hypotheses in guiding research design and interpretation.
This document discusses concepts and measurement in research. It defines key terms like concept, measurement, scale, and index. It explains that a concept needs to be both conceptualized and operationalized for measurement. Conceptualization involves developing a theoretical definition, while operationalization links this to specific measurement procedures through dimensions and elements. An example is provided on operationalizing job satisfaction, including potential dimensions like work, pay, promotion opportunities, and developing survey statements to measure elements of each dimension. Different types of scales are outlined, including nominal, ordinal, interval, and ratio scales. Finally, the document distinguishes between a scale, which arranges responses on a continuum, and an index, which combines multiple indicators into a single score.
The research problem statement is one of the first steps in developing a Doctoral Thesis proposal. It is the starting point of the research process. Identifiable aspects of a research problem include something is broken, it has a cause and effect relationship, and there are initial observations and evidence mentioned. Developing a research problem statement from an identified problem isn’t easy but is an essential step in the thesis proposal process. To assist in the what and how, the Doctorate Hub team has been putting together this slideshow.
This document outlines issues related to research and class room research. It discusses identifying an appropriate research topic and guide. Finance is a major issue, including costs of experiments, materials, and attending conferences. Identifying the right research topic depends on the guide's specialization and interests of other students. The relationship between guides and students can impact research. Research scholars must develop skills like acquiring knowledge, problem solving, and being lifelong learners with self-discipline. Classroom research examines best practices for teaching-learning processes and evaluating students based on Bloom's taxonomy. Research outcomes from books discuss findings on the 10,000 hours rule for expertise and characteristics of cheating teachers.
Characteristics of a good researcher - am i a researcher?Dr. Mazlan Abbas
Presentation to IIUM - Industry Talk
March 15, 2013 @ 3.00pm
Auditorium B, E2-Level 2,
Kulliyyah of Engineering
International Islamic University Malaysia (IIUM),
Gombak, Malaysia
This document provides an overview of research methodology. It discusses what research is, key characteristics of research including being controlled, rigorous, systematic, valid and verifiable. The document outlines the typical steps in the research process, including formulating a research problem, literature review, identifying variables, constructing hypotheses, research design, developing instruments, sampling, the research proposal, data collection, processing, and writing the report. Key aspects of each step are defined and discussed at a high level.
Research Challenges - Characteristics of a Good Researcher Dr. Mazlan Abbas
This document discusses characteristics of good researchers and challenges in research. It provides definitions of basic and applied research, explaining that basic research expands knowledge while applied research solves practical problems. It also distinguishes between degrees (Bachelor's), Masters, and PhDs, illustrating how each level deepens knowledge in a specialty area. The document notes that choosing a good research problem takes time and is subjective. It also outlines common research approaches like mathematical modeling, simulation, and experimentation, and discusses managing researchers and their expectations around creativity and knowledge generation.
Business Research Method RESEARCH QUESTION HYPOTHESISOsama Yousaf
This document discusses key concepts in developing a research question and hypothesis for a research project. It defines a research question as expressing a gap in existing literature and being the core of a dissertation by answering it. A hypothesis is defined as a tentative answer to a research question that can be tested, and helps indicate the direction of the investigation. The document outlines best practices for formulating clear and testable hypotheses and different types of research questions such as what, why and how questions.
Presentation done to JOOUST staff to highlight challenges facing young researchers on writing grants winning proposals at the commencement of their carriers.
This document provides an overview of case study research. It defines case study as a qualitative approach that focuses on a bounded system. Case study is not a methodological choice but a choice of what to study. It can be used to answer descriptive and explanatory questions. There are three main types of case studies: intrinsic, instrumental, and collective. Case studies are particularistic, descriptive, and heuristic. They involve collecting data through various techniques. Cross-site analysis strategies help compare multiple cases. Case studies have strengths like providing an in-depth understanding but also limitations such as subjectivity. Examples of famous case studies include studies of Genie the feral child and Jill Price.
This document discusses how to generate a research problem and formulate a research question. It explains that the research question is the most important part of a research proposal as it defines the research and guides the inquiry. The document provides guidance on developing a good research question, including that it should be feasible, interesting, novel, ethical, and relevant. It also describes different types of research questions such as those asking about existence, description, relationships, causality, and comparisons. Overall, the key aspects covered are identifying a research problem and narrowing it down to a specific research question.
A case simulates a real-world situation and provides context for analysis and discussion. It presents significant issues without conclusions and requires students to think critically to develop inferences and determine the best conclusions or decisions based on the evidence provided. Analyzing a case involves breaking it down into its constituent parts to understand relationships and develop hypotheses to explain problems or guide decisions. The process is iterative and involves defining the situation, asking questions, developing hypotheses, assessing evidence to prove hypotheses, and considering alternatives. Case discussions are collaborative learning opportunities to develop arguments and learn from others' perspectives.
Research seminar lecture_4_research_questionsDaria Bogdanova
This document provides guidance on developing key components of a research proposal, including the title, literature review, research questions, hypotheses, and research methods. It emphasizes that developing a good research question is the most important part of the research process. Research questions should be narrow, fit the research objectives, and structure the thesis by defining what will be answered. The document also distinguishes between different types of research questions and variables, and describes experimental and quasi-experimental research designs.
Research problem is a question that researcher wants to answer or a problem that a researcher wants to solve Identification & formulation of a research problem is the first step of the research process.
This document discusses elements of research design, including:
1. The purpose of a study can be exploratory, descriptive, or for hypothesis testing. Exploratory studies investigate unknown phenomena, descriptive studies characterize variables, and hypothesis testing examines relationships.
2. Types of investigation include causal studies that establish cause-and-effect and correlational studies that identify associated factors.
3. The extent of researcher interference ranges from minimal in correlational studies to manipulation and control in causal studies.
This document discusses key aspects of qualitative case study research. It outlines that case studies allow for an in-depth exploration of a phenomenon within its real-life context. The document discusses different approaches to case studies by researchers like Yin, Stake and Creswell. It also addresses important considerations for case study research like purposefully defining the case, collecting multiple sources of data, ensuring validity and ethics, and producing engaging written reports for academic audiences.
1. Research requires defining a problem, conducting an extensive literature review to understand what is already known, and developing testable hypotheses to guide further investigation.
2. The research process involves formulating a problem, surveying existing literature, developing hypotheses, designing a study, determining appropriate sampling methods, collecting data, analyzing results, and drawing conclusions. Careful planning at each step helps ensure efficient and effective research.
3. Data collection methods include experiments to test hypotheses as well as surveys using techniques like questionnaires, interviews, and observations. The choice of methods depends on the problem, available resources, and goals of the study.
This document discusses using infrastructure as code (IAC) and test-driven infrastructure (TDI) approaches. IAC defines and provisions infrastructure using code instead of manual configuration. It aims to make infrastructure changes routine without stress. TDI applies testing practices like unit testing to IAC code. The document provides an example of defining an nginx role in Ansible with unit and behavior tests. It recommends automating repetitive tasks, having sysadmins work with developers, and emphasizing testing.
Este documento apresenta diferentes formatos de texto, imagens e elementos visuais como smart art, gráficos e links que podem ser utilizados em apresentações no SlideShare. Ele demonstra como adicionar texto com formatação, imagens divididas, ciclos em smart art e gráficos de barras de vendas trimestrais, fornecendo exemplos de como personalizar uma apresentação online.
Find out more and get involved with Join In at http://www.joininuk.org/
== About The Guide ==
Social media and local sport clubs were made for each other. You can update people on club news, while your members can keep the ‘social’ side going when they’re not in the clubhouse.
And of course, social media gives you a perfect opportunity to promote your Join In event.
This guide offers some quick ideas for attracting people to your event using Facebook and Twitter – two of the most widely-used networks in the UK.
(And if you’re completely new to social media, we’ll point you in the right direction for getting started.)
You’ll even find some ready-to-go Facebook posts and tweets to add to your profiles.
== About Join In ==
On 18/19th August 2012, Join In will encourage the nation to head down to where it starts for every great champion: their local sports club. Find out more at http://www.joininuk.org/
UT Annual Giving Brown Bag - Everything EmailBiancaUT
The document provides information about email best practices and UT's email marketing strategies. It discusses keeping emails mobile friendly, branding, segmentation, testing subject lines and content. It also includes examples of email solicitations and newsletters, and provides UT Annual Giving email statistics and contact information for Annual Giving and Web Infrastructure Team services.
Final 2012 uvp and intro deck with talk track as of 4_25_12 (3)laaarnold
The document summarizes how Forrester Research helps clients make better technology decisions. It discusses Forrester's research methods including surveys of consumers and businesses. It provides examples of decisions Forrester is helping peers with in areas like application development, enterprise architecture, and security. The document prompts the client to share their own business decisions that Forrester may be able to assist with through research briefings and analyst engagement.
G#1.lima.salazar.henry.comercio.electrónicoHenry Lima
El documento provee información sobre las Tecnologías de la Información y la Comunicación (TICs), Internet y el estado del arte. Explica que las TICs son un conjunto de tecnologías para gestionar y transmitir información en diferentes formatos, e identifica usos comunes como finanzas, comercio y comunicación. También describe características clave del estado del arte como permitir determinar el conocimiento acumulado y tendencias de investigación sobre un tema. Por último, presenta detalles históricos sobre el desarrollo de Internet y sus principales
Este documento describe las diferencias entre los marcos COSO I y COSO II para el control interno y la gestión de riesgos. COSO I se centra en el control interno, mientras que COSO II amplía este enfoque para abarcar una gestión integral de riesgos empresariales. Ambos marcos comparten componentes como el ambiente interno y el monitoreo, pero COSO II incluye elementos adicionales como el establecimiento de objetivos y la identificación y respuesta a eventos y riesgos.
El documento provee información sobre las Tecnologías de la Información y la Comunicación (TIC), Internet, y el estado del arte. Explica que las TIC permiten almacenar, procesar y transmitir información en forma de texto, imágenes y audio. Describe los usos comunes de las TIC y características como su innovación y acceso a la información. También resume brevemente la historia de Internet, sus partes y cómo funciona, así como la definición y propósito del estado del arte en la investigación.
Manila is the capital of the Philippines, known for its beaches, volcanoes, and tropical forests. The document provides an itinerary for a trip to Manila and surrounding areas from July 10-23, highlighting tours of the city, shopping at Mall of Asia, visiting Tagaytay with views of Taal Volcano, culinary tours of Quezon province, and more. Daily schedules include transportation, meals, accommodations at Casa Bocobo Hotel, and a variety of cultural and sightseeing activities.
This document discusses different dimensions of research including topic, novelty, technology, scope, mode, and methodology. It describes various types of research based on these dimensions such as original investigations that create new data versus literature reviews, studies that develop new methods versus use existing ones, case studies versus those on samples, observational versus interventionist studies, and qualitative versus quantitative approaches. Examples are provided to illustrate different dimensions and types of research.
The document provides an overview of research methodology. It defines research as a systematic process of collecting and analyzing information to answer questions or gain knowledge on a topic. The document then describes different types of research, including applied research, basic research, correlational research, descriptive research, experimental research, exploratory research, grounded theory research, historical research, phenomenological research, qualitative research, and quantitative research. It also discusses the structures of research papers, theses, review papers, and summarizes tools like Mendeley and LaTeX that can assist with research.
The document provides an overview of different types of research methods and their definitions. It discusses exploratory, descriptive, correlational, experimental, ethnographic, grounded theory, historical, phenomenological, qualitative, and quantitative research. The key points are:
- Research involves systematic investigation to gain new knowledge or validate existing knowledge.
- The different types of research methods each have distinct goals and approaches such as describing characteristics, testing hypotheses, or discovering new theories.
- Research can be classified as qualitative, involving subjective experiences, or quantitative, using statistical techniques to measure phenomena.
nursing research Chapter 5 for pbn 3rd year pu PU nepalpurnamepurna
This document summarizes different types of research including basic research, applied research, quantitative research, qualitative research, historical research, conceptual research, empirical research, operational research, evaluation research, and action research. It provides descriptions of each type of research and compares some of their key differences. For example, it notes that basic research aims to advance knowledge for its own sake while applied research aims for practical application. The document also discusses different research designs such as descriptive research, analytical research including cross-sectional, case-control and cohort studies, and experimental research.
The document discusses conducting research and analyzing results. It emphasizes that research must be valid, accurate and reliable to be useful. It states that incorrect research can lead to decreased sales and customer loss. It advises to choose an analysis method based on the research methods used and to review findings by identifying trends, frequencies, strengths, weaknesses and making recommendations. The document also provides tips for keeping research organized in spreadsheets or programs depending on the amount and complexity of the data collected.
Presentation on research methodologiesBilal Naqeeb
The document provides an overview of research methodologies. It defines research as an organized and systematic way of finding answers to questions. It notes that research is systematic because there are definite procedures and steps followed, and organized because there is a planned structure. The main purpose of research is to find answers to questions. The document then discusses different types of research such as primary and secondary research, as well as pure, applied, scientific and social research. It also outlines tools and techniques used for data collection in research such as surveys, experiments, interviews and case studies. Finally, it discusses key research concepts like variables, hypotheses, sampling, questionnaires and how to design good questions.
This document provides an introduction to quantitative and qualitative research methods. It discusses key aspects of research design including ontology, epistemology, methodology, and methods. Quantitative research uses numerical data and statistical analysis, while qualitative research uses non-numerical data sources like interviews. The appropriate approach depends on one's research questions, philosophy, and skills. Both approaches have strengths and limitations.
This document provides an introduction to quantitative and qualitative research methods. It discusses key aspects of research design including ontology, epistemology, methodology, and methods. Quantitative research uses numerical data and statistical analysis, while qualitative research uses non-numerical data sources like interviews. The appropriate approach depends on the research questions and philosophy. Both have benefits and limitations. Validity, reliability, and trustworthiness are also important aspects of research quality.
This document provides an introduction to quantitative and qualitative research methods. It discusses that research methods can be broadly split into quantitative and qualitative approaches. The choice of method depends on the research questions, underlying philosophy, and researcher's skills and preferences. It also outlines some basic principles of research design including ontology, epistemology, methodology, and specific methods. Common quantitative and qualitative data collection and analysis techniques are also introduced.
Introduction to quantitative and qualitative researchLiz FitzGerald
This presentation, delivered in an Open University CALRG Building Knowledge session, gives a preliminary introduction to both quantitative and qualitative research approaches. There has been widespread debate when considering the relative merits of quantitative and qualitative strategies for research. Positions taken by individual researchers vary considerably, from those who see the two strategies as entirely separate, polar opposites that are based upon alternative views of the world, to those who are happy to mix these strategies within their research projects. We consider the different strengths, weaknesses and suitability of different approaches and draw upon some examples to highlight their use within educational technology.
This document provides an introduction to research concepts. It defines research as a systematic process of collecting and analyzing information to increase understanding. The scientific method involves tentative, empirically testable, and publicly shared approaches. Research can be basic, applied, or action-oriented. Qualitative research explores meanings through words and images, while quantitative research analyzes numerical data. Methods include experimental, case study, survey, and time-series designs. Research helps address problems in fields like public administration, through approaches such as needs assessment, process and outcome evaluations.
Research is the systematic study of a topic to establish facts and reach new conclusions. It has key characteristics of being systematic, valid/verifiable, and empirical. Research can be classified by its application (pure or applied), objectives (descriptive, correlational, explanatory, exploratory), or inquiry mode (structured or unstructured). Descriptive research aims to describe data while correlational examines relationships between variables.
This document discusses different types of research including basic research, applied research, action research, quantitative research, and qualitative research. Basic research aims to generate new knowledge without intention of application, while applied research seeks to apply theories to address practical problems. Action research introduces planned change to solve ongoing problems. Quantitative research uses numerical data and statistics, while qualitative research uses descriptive data to understand human behaviors and experiences.
Introduction to business research methodologyAdil Nawaz Khan
This document provides an overview of different types of research methodologies, including applied research, basic research, correlational research, descriptive research, ethnographic research, experimental research, exploratory research, grounded theory research, and historical research. It defines each type of research and provides examples. The document also discusses key characteristics of research such as being objective, precise, verifiable, and empirical. It outlines the scientific method and notes research involves collecting and analyzing data to solve problems.
Research can take many forms but generally involves systematically investigating a topic to establish facts or reach new conclusions. The document outlines different types of research including basic research driven by curiosity, correlational research which studies relationships between variables, applied research which seeks practical solutions, and descriptive research which provides accurate descriptions of individuals, situations or groups. Experimental research establishes cause-and-effect through manipulation of variables while qualitative research explores non-quantifiable topics like beliefs and meanings.
Distinguish technical terms used in research EN10V-Iva-30.pptxJONALYNNGAPPOL
This document discusses key concepts related to conducting research. It begins by defining research as a systematic process of collecting, organizing, and analyzing information to increase understanding and generate new knowledge. There are three main types of research: descriptive, correlational, and experimental. Descriptive research answers questions about characteristics, correlational examines relationships between variables, and experimental studies cause-and-effect through a controlled experiment. Proper research requires formulating a focused research problem or question, collecting relevant literature, developing a research design and methodology, analyzing collected data, and reporting findings. Key terms like population, sample, variables, hypotheses, and data are also explained. The document provides a thorough overview of fundamental research concepts and processes.
This document provides an overview of the research process. It defines research as the systematic search for knowledge to increase understanding. There are different types of research including qualitative, quantitative, mixed, and action research. Qualitative research aims to understand behaviors while quantitative determines relationships between variables. Mixed research combines both approaches. Action research identifies actions and outcomes to improve processes. Choosing a research topic requires considering interest areas that can be narrowed and have available sources to research. The literature review informs the study by analyzing previous work. Developing a good research question is also important to address a relevant issue that can be answered through research methodology.
Psychology is the scientific study of behavior and mental processes. The goals of psychology are to describe, explain, predict, and control behavior and mental processes. A theory in psychology allows psychologists to propose explanations for relationships and make testable predictions. The scientific method is used to test hypotheses derived from theories. Psychologists study behavior through various methods including case studies, surveys, interviews, observation, and experiments. Ethics are important in psychological research with humans and animals.
This document provides an introduction to business research methodology. It defines research as a systematic process of investigating problems to discover new information and relationships. Research aims to increase knowledge in a logical, objective manner through data collection and analysis. It should be carefully recorded and reported, with conclusions reached cautiously based on evidence. Business research is important as it provides factual information to guide decisions and reduce risk, helping organizations define audiences, monitor competition, and sway public opinion. The nature of research involves finding things out in a systematic way to expand knowledge.
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This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Fix the Import Error in the Odoo 17Celine George
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.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
How to Add Chatter in the odoo 17 ERP ModuleCeline George
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.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
What is research
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2. What is Research?
Will G Hopkins
Sport and Recreation
AUT University
Auckland NZ
How to do Research: solve a problem, publish
Dissecting the Dimensions of Research:
topic, novelty, technology, scope, mode, methods, ideology,
politics, utility
Reassembling the Dimensions: quantitative vs qualitative
research
3. How to do Research
• Research is all about addressing an issue or asking and
answering a question or solving a problem, so…
• Identify an issue, question, or problem.
• Talk with people who want or need your study.
• Find out what's already known about it.
• Talk with experts and/or read their reviews and the original
research on the topic.
• Plan, cost, and do your study accordingly.
• Write it up and submit it for assessment.
• Better still, do a good job on it and submit it for publication.
• Undergrad projects are sometimes good enough to publish.
• Your work will benefit more people if you publish it.
• Rule No. 1 in academia is publish or perish.
• This slide show is about different types of research you can do.
4. Dissecting the Dimensions of Research
• My understanding of the various kinds of research advanced
when I identified various dimensions (components) of research.
• A former colleague regarded such analysis as a trivial pursuit.
• If you find a better way to understand research, let me know.
• Meanwhile consider these dimensions:
• topic: physical–biological–psychological–sociological
• novelty: create new vs review published data or info
• technology: develop new vs use existing methods
• scope: study a single case vs a sample
• mode: observe vs intervene
• methodology: qualitative vs quantitative (info vs numbers)
• ideology: objective vs subjective (positivist vs interpretivist)
• politics: neutral vs partisan
• utility: pure vs applied Click to link to each dimension.
• reassembling the dimensions Click here for Conclusions.
5. Topic: what are you researching?
biophysical psychosocial
clinical behavioral psychological economic social
• Examples
• Clinical: the effect of a herb on performance.
• Psychological: factors affecting work-place satisfaction.
• Behavioral: how can we reduce truancy at this school?
• Economic: characterize the productivity of new immigrants.
• Social: develop risk-management procedures at a gym.
• Finding a good question/problem to address can be hard.
• It helps to have a good supervisor, good colleagues, and/or
knowledge or practical experience of and affinity for a topic.
• You must read journal articles to find out what's already known.
• Authors also often point out topics for future research.
6. Novelty: creating new or reviewing published info?
create review
• Most research projects are so-called original investigations.
• You obtain new data or information about a phenomenon.
• You reach a conclusion and try to publish it.
• Some research projects are reviews of the literature.
• You use other researchers' published data or info about a
phenomenon.
• A quantitative statistical review is called a meta-analysis.
• You should "earn your spurs" doing original research before taking
on a stand-alone review.
• But a write-up of an original investigation always has to include a
short review of literature.
7. Technology: develop new or use existing method(s)?
develop new use existing
• Sometimes a legitimate topic for study is methodological.
• For example, development or novel investigation of…
• a measuring device
• a psychometric instrument (questionnaire or inventory)
• a protocol for a physical performance test
• a diagnostic test
• a method of analysis.
• You usually include or focus on a reliability and/or validity study of
the measure provided by the method.
• Validity = the relationship between observed and true values.
• Reliability = reproducibility of observed values.
8. Scope: case or sample?
case sample
• Are you solving a single case of something, or is it a sample that
will allow you to generalize to a population?
• In a case study…
• You are interested in "what happened or will happen here".
• Your finding applies only locally: to the case you studied.
• The quest for an answer can be like that in a court case.
• Qualitative methods are often required.
• You reach an answer by applying logic (= common sense?) and
skepticism to your knowledge and to the information you gather.
• Be wary of conventional wisdom and your own prejudices.
• It may be possible to estimate probabilities of benefit or truth of
various answers.
9. • In a study of a sample…
• You are interested in "what happens in general".
• Rarely, "what" is simply descriptive: the frequency, mean value or
other simple statistic of something in the sample.
• Most often, the "what" is the value of an effect statistic: the
relationship between the thing of interest (a dependent variable,
such as health, performance…) and something else (a predictor
variable, such as training, gender, diet…) in the sample.
• Examples of effect statistics: difference or change in a mean
value; ratio of frequencies (relative risk); correlation
coefficient.
• You control for other possible predictor variables either by holding
them constant or measuring and including them in the analysis.
• Example: the effect of physical activity on health, controlling
for the effect of age on health.
• In controlled trials (interventions), a control group accounts
for any effect of time that would have happened anyway.
10. • More about studying a sample…
• You study a sample, because it is impractical and wasteful (and
therefore unethical) to study a population.
• “What happens in general" refers to the average person or
situation in a population represented by your sample.
• "Population" is a defined group, not the entire human race or all
possible situations.
• You make inferences about that population; that is, you
generalize from the sample to a population.
• You can make inferences to other populations only if you can
argue that those populations are similar to your sample with
respect to the effect you have studied.
11. • There are several ways to generalize from sample to population…
• Old: develop a null hypothesis about a relationship, then test
the hypothesis (that is, try to falsify it) using statistical
significance based on something called the P value.
• New: identify a relationship, measure its magnitude, state
the uncertainty in the true value using confidence limits,
then make a conclusion about its clinical or practical
importance in the population.
• Sample size is a big issue.
• The smaller the sample, the more the uncertainty.
• A stronger relationship needs less certainty.
• So a stronger relationship needs a smaller sample.
• Unfortunately most relationships are weak or trivial,
so you usually need large samples.
12. Mode of Enquiry: observational or interventionist?
observational interventionist
or non-experimental or experimental
or descriptive
• In an observational study…
• The aim is to gather data or information about the world as it is.
• So you hope the act of studying doesn't substantially modify the
thing you are interested in.
• In an interventionist study…
• You do something to the world and see what happens.
• You gather data or information almost always before and after the
intervention, then look for changes.
13. • The following comments refer to observational and
interventionist studies with samples.
• The estimate of the magnitude of a relationship is less likely to
be biased (that is, not the same as in a population) if…
• the sample is selected randomly from the population, and…
• you have a high compliance (low proportion of dropouts).
• An observational study of a sample…
• usually establishes only an association between variables rather
than a causal relationship;
• needs hundreds or even thousands of subjects for accurate
estimation of trivial or small effects.
14. • Types of observational study with a sample, weak to strong:
• Case series, e.g. 20 gold medallists.
• Cross-sectional (correlational), e.g. a sample of 1000 athletes.
• Case-control (retrospective), e.g. 200 Olympians and 800 non-
Olympians.
• Cohort (prospective or longitudinal), e.g. measure characteristics
of 1000 athletes then determine incidence of Olympic medals
after 10 years.
• In an intervention with a sample…
• You can establish causality: X really does affect Y.
• You may need only scores of subjects for accurate generalization
about trivial or small effects.
• The outcome is the effect of a treatment on the average subject.
• Researchers usually neglect the important question of individual
responses to the treatment.
15. • Types of intervention with a sample, weak to strong:
• No control group (time series), e.g. measure performance in 10
athletes before and after a training intervention.
• Crossover, e.g. give 5 athletes a drug and another 5 athletes a
placebo, measure performance; wait a while to wash out the
treatments, then cross over the treatments and measure again.
• Ethically good, because all subjects get all treatments.
• But can't use if the effect of the treatment takes too long to
wash out.
• Each subject can receive more than two treatments.
• Controlled trial, e.g. measure performance of 20 athletes before
and after a drug and another 20 before and after a placebo.
• You need up to 4x as many subjects as in a crossover.
16. • In interventions, bias is less likely if…
• Subjects are randomly assigned to treatments.
• Assignment is balanced in respect of any characteristics that
might affect the outcome.
• In other words, you want treatment groups to be similar.
• Subjects and researchers are blind to the identity of the active
and control (placebo) treatments.
• Single blind = subjects don't know which is which.
• Double blind = the researchers administering the treatments
and doing the measurements and analysis don't know either.
17. Methods: quantitative or qualitative?
quantitative qualitative
• With quantitative methods…
• You gather data with an instrument, such as a stopwatch, a blood
test, a video analysis package, or a structured questionnaire.
• You derive measures or variables from the data, then investigate
relationships among the variables.
• Some people think you have to do it by testing hypotheses.
• Error of measurement is an important issue.
• Almost all measures have noise or other errors.
• Errors affect the relationship between measures.
• You attend to errors via validity and reliability.
• A pilot study to investigate error can be valuable.
18. • With qualitative methods…
• You gather information or themes from texts, conversations or
loosely structured interviews, then tell a coherent story.
• Software such as NVivo can help.
• The open-ended nature of these methods allows for more flexibility
and serendipity in identifying factors and practical strategies than
the formal structured quantitative approach.
• The direction of the research may change mid-stream.
• Formal procedures enhance trustworthiness of the information.
• Triangulation–aim for congruence of info from various sources.
• Member checking or respondent validation–the subjects
check the researcher’s analysis.
• Peer debriefing–colleagues or experts check the analysis.
• Hybrid or mixed method: analyze a sample of cases
qualitatively, then code information into values of variables to
make inferences about a population quantitatively.
19. Ideology: objective or subjective?
objective subjective
positivist post-structuralist interpretivist
• Others refer to this dimension as paradigmatic or philosophical.
• A paradigm sometimes has religious status for its adherents:
thou shalt not question it!
• Positivist or objective
• We make and share observations, identify problems and solve
them without disagreement about the nature of meaning or
reality.
• This so-called dominant paradigm is responsible for our current
understanding of life, the Universe, and almost everything.
20. • Post-structuralist
• The researcher views people as subjects of discourses
(interrelated systems of unstable social meanings).
• Although the subjectivity of research is emphasized, the
researchers attempt to achieve objectivity. Do they succeed?
• Many people find post-structuralist papers hard to understand.
• Alan Sokal, a physicist, wrote a nonsensical paper–
Transgressing the Boundaries: Toward a Transformative
Hermeneutics of Quantum Gravity–and got it accepted by the
journal Social Text.
• Interpretivist
• Part of the truth of a situation can be found in the researcher's
interpretation of the self-understandings of participants.
• Truth is discovered partly by thought as well as by observation.
• Grounded theory of social science is interpretivist: truth emerges
from your observations; you do not test a hypothesis.
21. Politics: neutral or partisan?
neutral partisan
• Most researchers aim to be politically neutral or impartial by
presenting all sides of an argument.
• Sometimes the researcher is overtly partisan or adversarial.
• In social science such research is known as critical or radical.
• The researcher attempts to raise understanding about
oppression and to facilitate collective action against it.
• Some commentators regard critical research as a specific
paradigm in social science, but…
• In my experience even biomedical researchers sometimes adopt
an overtly partisan or adversarial stance on an issue.
• Or there are often hidden agendas and biased reporting.
• Maybe that’s OK, because their stance stimulates debate.
22. Utility: pure or applied?
pure applied
• In pure, basic, theoretical or academic projects, the aim is to
understand the cause or mechanism of a phenomenon.
• Applied or practical projects impact directly on health, wealth, or
culture (art, recreation…), or on development of a method.
• Even so, try to include mechanisms in an applied project.
• It will help you publish in a high-impact journal, because their
editors and reviewers can be snooty about pure research.
• Understanding something may give you ideas for more projects.
• A mechanism variable in an unblinded intervention can help
exclude the possibility of a placebo effect.
• Pure is sometimes lab-based, lacking naturalness.
• Applied is sometimes field-based, lacking control.
23. Reassembling the Dimensions
• A given research project is a point in multidimensional space.
• Some regions of this space are popular:
biophysical topic psychosocial
sample scope case
quantitative method qualitative
interventionist mode observational
objective ideology subjective
neutral politics partisan
These often go together as These often go together as
quantitative research. qualitative research.
• This pigeonholing doesn’t apply to the novelty, technology and
utility dimensions.
24. • Some regions are less popular, but worth visiting. For example:
• Action research is a subjective intervention with a case or
sample.
• Dealing with the problems of everyday life is an informal
kind of action research.
• Some researchers identify the extreme subjects in a quantitative
survey, then interview them subjectively/qualitatively as cases.
• Others do a qualitative pilot study of a few cases to identify a
problem and the appropriate measures for a larger quantitative
study of a sample.
• A project based in an unusual region may give new insights…
• But you may struggle to publish in journals devoted to more
popular regions.
• Researchers who mix qualitative methods (such as intensive
interviews) with studying a sample (for generalizing to a
population) can run into a sample-size problem, as follows...
25. • Qualitative methods applied to a sample often result in a small
sample size because…
• subjects are hard to get, or…
• the interviews are too time consuming, or…
• the researchers dislike the idea of large samples.
• But a study with a small sample can adequately characterize only
strong associations (large effects) in a population.
• So these small-scale qualitative studies are not definitive for a
small or trivial effect.
• Furthermore, open-ended inquiry is equivalent to assaying many
variables, so there is a high risk of finding a spurious association.
• If the sample is small, the spurious association will be strong.
• Therefore small-scale qualitative studies are not definitive even
for a moderate or large effect.
• Bottom line: when using qualitative methods to generalize to a
population, you need a large sample to characterize small effects.
26. In Conclusion…
• A given research project can be characterized by topic, novelty,
technology, scope, mode, methods, ideology, politics and utility.
• This dimensional view may help you sort out a good approach to
a specific project, but…
• I may have missed or mangled some dimensions.
• There may be better ways to understand research.
• Your work needs to be credible to some people and preferably
also published if it’s to have any impact.
27. This presentation is updated from a paper at:
Hopkins WG (2002). Dimensions of research. Sportscience 6,
sportsci.org/2002