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This document provides an overview of research in evolutionary perspectives. It discusses how research is a way of thinking that involves identifying and refining questions to find answers through inductive and deductive reasoning. Research can be conducted at different levels with constraints. New statistical methods and tools like analysis of variance, meta-analysis, multidimensional scaling, path analysis, and neuroimaging have expanded the types of phenomena that can be studied. Interdisciplinary teams now tackle questions across disciplines using high-speed computers and connectionist models. Science is constantly evolving as new questions arise and techniques develop.
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This document provides an overview of research methodology. It begins with definitions of research and discusses the objectives and characteristics of good business research. It then explains the scientific method and key aspects of the research process such as identifying a problem, developing a hypothesis, collecting and analyzing data, and reporting conclusions. Finally, it outlines the typical structure of a research proposal, including sections on the problem statement, objectives, literature review, research design, and data analysis. The overall purpose is to guide the reader through the steps of conducting systematic research.
Research methodology
This document discusses research methodology. It defines research as a systematic, scientific process of investigating topics to discover new knowledge. Methodology refers to the guidelines and components used to solve problems in a discipline. Research methodology is the systematic study of how research is conducted scientifically using logical steps to arrive at conclusions. The objectives of research methodology are to validate claims, discover new information, create awareness of research needs, and facilitate reference. Approaches to research methodology can be quantitative, using data analysis, or qualitative, relying on subjective assessments.
Grounded theory
Grounded theory is a systematic qualitative research methodology that uses inductive reasoning to generate new theories about a phenomenon. Rather than starting with a hypothesis, grounded theory involves collecting data through methods like interviews and observations, then coding and analyzing the data to discover concepts and relationships that help explain the process or interaction being studied. The theory is "grounded" in the data. Grounded theory was developed in the 1960s by sociologists Glaser and Strauss and involves open, selective, and theoretical coding to iteratively build theories directly supported by the data. It is useful for exploring new domains and leveraging human tendencies to interpret and theorize.
CHAPTER 03.pptx
The document discusses various aspects of creative work and the engineering method. It describes creativity as exploring imagination and forging new connections. Key traits of creative individuals include originality and adaptability. The creative process involves preparation, readiness, implementation, monitoring, and evaluation. Engineering problems are approached systematically using science and an iterative method. Projects involve defining requirements, analysis, synthesis, evaluation, and execution phases. Experimentation is important for verifying designs and material choices.
Introduction to Research Methodology.pptx
Research and experimental development (R&D)
Creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications
Research & its methodology
This Presentation was given in Guru Kashi University Talwandi Sabo (2013) at the inaugural ceremony of Ph.D. program. Bibliography is added for sake of References.
Not just for STEM: Open and reproducible research in the social sciences
On Thursday 22nd April 2021, Dr Viktoria Spaiser spoke about how open and reproducible research is currently practiced in the social sciences, how it varies in quantitative, computational, and qualitative social research and how these practices are currently changing. She also discussed what the specific barriers for open and reproducible research in social science are and how at least some of them could be addressed in the future.
Viktoria Spaiser is an Associate Professor in Sustainability Research and Computational Social Sciences at the School of Politics and International Studies, University of Leeds. Viktoria is interested in sustainability research and specifically in how societies can make a rapid, fair and empowering transition to zero-emissions / zero-pollution. She applies mathematical and computational approaches to these and other social and political science research questions.
Chapter Five: Reserach Design
The document discusses different research design options including experiments, surveys, case studies, and mixed methods. It explains that research design involves critical choices around the type of study, population, time horizon, and level of researcher interference. The goal is to create a design suitable for answering the specific research questions while considering constraints of time, money, and access to data.
Designing the methodology
The document outlines the key steps in designing a research methodology, including formulating the research problem, conducting an extensive literature review, developing testable hypotheses, preparing the research design and sample, collecting and analyzing data, testing hypotheses, and preparing a final report. The goal is to systematically answer the research question by developing an experimental process to find the best solution under different conditions.
Research Method Unit 2.ppt
This document discusses different types of research based on purpose, including basic research, applied research, exploratory research, empirical research, experimental research, primary research, secondary research, qualitative research, and quantitative research. Basic research aims to advance knowledge without a particular application in mind, while applied research seeks to solve practical problems. Exploratory research gathers preliminary information when little is known about a problem. Empirical research relies on direct or indirect observation rather than theory alone. Experimental research investigates cause-and-effect by manipulating variables. Primary research collects original data, and secondary research analyzes existing sources. Qualitative research examines non-numeric elements like feelings, while quantitative research relies on numerical data.
Introduction to Systemics with focus on Systems Biology
The core content discusses the terminology used in Systems Sciences, the systems thinking/approach or Systemics. Focus is kept on Systems Biology for the most part of the presentations where it is compared with other disciplines and examples of Systems Biology approach and challenges of systems science are also discussed.
The sad thing about uploading this to Slide Share is that animations don't work.
Lecture_1_-_Research_Methods_-_Introduction.pdf
This document provides an overview of research methodology. It defines research as a systematic process aimed at obtaining reliable new knowledge. The lecture syllabus is then outlined, covering topics like research design, data collection and analysis, and hypothesis testing. Basic and applied research are distinguished, as well as disciplinary, subject-matter and problem-solving research. Descriptive and analytic research approaches are also defined. The document emphasizes that research is a creative and circular process, and provides tips for fostering creativity within research.
Introduction to research, definition, classification
Research involves systematically investigating existing knowledge to derive new insights and solve problems. The key stages of research include selecting a topic, reviewing existing literature to identify gaps, formulating a hypothesis or research question, developing a research design and methodology, collecting and analyzing data, and reporting results. Good research has a clearly defined purpose, detailed methodology, carefully planned process to obtain relevant results, and conclusions justified by the findings. It contributes new knowledge or solutions while avoiding duplication of past work.
Rm17 45 81-120
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.
steps and of research.pptx
The research process involves several key steps: 1) Identifying a research problem and justifying its importance through literature review. 2) Setting research objectives and hypotheses. 3) Choosing an appropriate study design like experiments, surveys, or observational studies. 4) Deciding on a sampling method and sample size. 5) Collecting data using methods like interviews, questionnaires or records. 6) Analyzing the collected data using statistical or qualitative techniques. 7) Reporting findings and conclusions in a research report. The research design provides a framework and plan for fulfilling objectives and answering research questions systematically.
Similar to 00952 (20)
Not just for STEM: Open and reproducible research in the social sciences
Not just for STEM: Open and reproducible research in the social sciences
Introduction to Systemics with focus on Systems Biology
Introduction to Systemics with focus on Systems Biology
Introduction to research, definition, classification
Introduction to research, definition, classification
00952
- 2. Essence of science • A way of thinking Identifying questions, refining them and then proceed to answer them Interplay between inductive and deductive thinking • Research can be conducted at many different constraint levels
- 3. New directions in research •Research is constantly evolving •Science is an interconnected discipline
- 4. Evolution of Research Questions •Answering one question raises other questions •Cleverly addressing practical problems •Using advanced technology
- 5. New Statistical Methods • New statistical procedures provide tools to study phenomena not previously open to study • Many new statistical procedures are only possible because of high- speed computers • Vast array of new statistical procedures affecting psychological research
- 6. Analysis of Variance •The vast majority of the research designs covered in this text were developed to take advantage of ANOVA techniques •Used for group comparisons •Very flexible tool •The most widely used statistical procedure
- 7. •A statistical way to combine several studies on a single topic •Involves •Computing an effect size for each study •Computing a weighted effects size for the series of studies •An accepted way of integrating multiple studies on a topic
- 8. Multidimensional Scaling •A procedure to reduce a large number of measures into a much smaller number of dimensions •Once thought to be the means of quickly understanding psychological phenomena, but it has not proved to be that powerful
- 9. Path Analysis • A regression-based technique for testing whether correlational data are consistent with a specified causal model • One of many Latent Variable models
- 10. Neuro-imaging • Procedures such as CAT scans, MRIs, and PET scans all use sophisticated mathematics to produce the three-dimensional images of the body • The mathematics is similar to multidimensional scaling procedures • Procedures so clever that it won the Nobel Prize for the developers
- 11. Multidisciplinary Research • All scientific disciplines are artificial boundaries • Increasingly, interdisciplinary teams of scientists are attacking critical questions that cross current scientific disciplines
- 12. Impact of Computers • Computer capabilities are exploding • Many research areas would be impossible without the aid of computers • Computers are a tool; science still relies on its logic to answer research questions
- 13. Connectionist Models • Also called Parallel Distributed Processing (PDP) models • Tremendous area of research now • Computer modeling may reshape how we theorize about complex natural phenomena
- 14. Summary • Science is a constantly developing enterprise • As science develops, new questions are raised and sometimes new techniques must be developed • Many factors affect the development of scientific research, but no factor is more important than the cleverness of scientists