Research projects for mba .mpm students
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Since research project is an essential requirement for MBA and MPM students this gives an easy to digest presentation to help in the process.
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Ch09
This document discusses the report writing process and research methods. It covers:
1) Characteristics of formal and informal reports and classifications of business reports.
2) The problem-solving process which includes recognizing the problem, selecting a solution method, collecting and organizing data, and arriving at an answer.
3) Types of primary and secondary research sources and objectives of secondary research such as establishing a starting point and avoiding duplication.
Unit 5 essay plan to organise your notesdocx
1. The document provides guidance on analyzing a research article and connecting its findings to one's own research.
2. It outlines 5 questions to guide the analysis, including summarizing the article's conclusions and methodology, evaluating how one's own research relates to and supports the article's findings, and assessing the impact of the topic on production and consumption.
3. The final question discusses recommendations for further research, including aspects not addressed by the article or one's own study that require more investigation.
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This document provides information and definitions related to the scientific method. It discusses testable questions, hypotheses, variables, data collection and organization, graphs, conclusions, and the two types of reasoning - deductive and inductive. Key terms defined include independent and dependent variables, qualitative and quantitative data, and the components of a strong conclusion. The document is intended to prepare the reader for a quiz on applying the scientific method.
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Bepress provides a sustainable publishing model for academic journals and supports high-quality scholarship across many disciplines including economics, law, political science, health, education, science and statistics. It offers journals, conference proceedings and other publications that provide timely, intellectually exciting research and ensures access through indexing, archiving and adherence to technical standards.
Types of data and research
There are four main types of data and research methods: primary data, secondary data, qualitative data, and quantitative data. Primary data involves directly collecting information through surveys or questionnaires, while secondary data analyzes previously collected data from other sources. Qualitative data describes information in specific details rather than numbers, and explores topics in depth through interviews. Quantitative data expresses information numerically and can generalize findings to a whole population through statistically valid surveys, but has limited ability to probe answers. Each method has its own pros and cons regarding costs, accuracy, and level of detail obtained.
Reducing Response Burden
Fred Oswald and Jeff Stanton are experts in reducing response burden in surveys through various statistical and technological methods. Their goals are to reduce administration time and costs, increase response rates, and decrease fatigue while maintaining reliability. Their approaches include reducing instructions, removing redundant items, distributing items across subgroups, and using automation. Their research examines determining efficient item assignments, evaluating when precision is lost by reducing content, analyzing item relationships, and stakeholder reactions. Their expertise involves examining tools to inform practical survey development goals.
Types of data and research
There are three main types of data for research: primary data, secondary data, and qualitative data. Primary data involves directly collecting information through surveys or questionnaires, but it requires conducting the research yourself. Secondary data analyzes previously collected data, which is quicker and easier to access for free, but the information may not be tailored to your needs or accurate. Qualitative data describes characteristics through flexible interviews with small samples, allowing for depth, but the findings cannot be generalized to larger audiences. Quantitative data involves statistically valid surveys to generalize results to populations, but has limitations in probing answers and potential response biases.
research design
The document discusses key aspects of research design including:
1) Research design determines the framework and methods for a study including data collection and analysis.
2) Key decisions in research design include determining primary or secondary data sources, qualitative or quantitative data, specific methods for data collection like surveys or experiments, and approaches for data analysis.
3) A strong research design considers reliability, validity, neutrality, and generalizability and sets up a study for success through a coherent plan.
Recommended
Ch09
This document discusses the report writing process and research methods. It covers:
1) Characteristics of formal and informal reports and classifications of business reports.
2) The problem-solving process which includes recognizing the problem, selecting a solution method, collecting and organizing data, and arriving at an answer.
3) Types of primary and secondary research sources and objectives of secondary research such as establishing a starting point and avoiding duplication.
Unit 5 essay plan to organise your notesdocx
1. The document provides guidance on analyzing a research article and connecting its findings to one's own research.
2. It outlines 5 questions to guide the analysis, including summarizing the article's conclusions and methodology, evaluating how one's own research relates to and supports the article's findings, and assessing the impact of the topic on production and consumption.
3. The final question discusses recommendations for further research, including aspects not addressed by the article or one's own study that require more investigation.
03 the scientific method
This document provides information and definitions related to the scientific method. It discusses testable questions, hypotheses, variables, data collection and organization, graphs, conclusions, and the two types of reasoning - deductive and inductive. Key terms defined include independent and dependent variables, qualitative and quantitative data, and the components of a strong conclusion. The document is intended to prepare the reader for a quiz on applying the scientific method.
Bepress Sales Powerpoint - 9/9/2010
Bepress provides a sustainable publishing model for academic journals and supports high-quality scholarship across many disciplines including economics, law, political science, health, education, science and statistics. It offers journals, conference proceedings and other publications that provide timely, intellectually exciting research and ensures access through indexing, archiving and adherence to technical standards.
Types of data and research
There are four main types of data and research methods: primary data, secondary data, qualitative data, and quantitative data. Primary data involves directly collecting information through surveys or questionnaires, while secondary data analyzes previously collected data from other sources. Qualitative data describes information in specific details rather than numbers, and explores topics in depth through interviews. Quantitative data expresses information numerically and can generalize findings to a whole population through statistically valid surveys, but has limited ability to probe answers. Each method has its own pros and cons regarding costs, accuracy, and level of detail obtained.
Reducing Response Burden
Fred Oswald and Jeff Stanton are experts in reducing response burden in surveys through various statistical and technological methods. Their goals are to reduce administration time and costs, increase response rates, and decrease fatigue while maintaining reliability. Their approaches include reducing instructions, removing redundant items, distributing items across subgroups, and using automation. Their research examines determining efficient item assignments, evaluating when precision is lost by reducing content, analyzing item relationships, and stakeholder reactions. Their expertise involves examining tools to inform practical survey development goals.
Types of data and research
There are three main types of data for research: primary data, secondary data, and qualitative data. Primary data involves directly collecting information through surveys or questionnaires, but it requires conducting the research yourself. Secondary data analyzes previously collected data, which is quicker and easier to access for free, but the information may not be tailored to your needs or accurate. Qualitative data describes characteristics through flexible interviews with small samples, allowing for depth, but the findings cannot be generalized to larger audiences. Quantitative data involves statistically valid surveys to generalize results to populations, but has limitations in probing answers and potential response biases.
research design
The document discusses key aspects of research design including:
1) Research design determines the framework and methods for a study including data collection and analysis.
2) Key decisions in research design include determining primary or secondary data sources, qualitative or quantitative data, specific methods for data collection like surveys or experiments, and approaches for data analysis.
3) A strong research design considers reliability, validity, neutrality, and generalizability and sets up a study for success through a coherent plan.
Data and Data collection
This document discusses data collection methods for research. It identifies the main types of data as tests scores, descriptions, conversations, or interviews. Common data collection procedures include observation, questionnaires, interviews, and tests. The document notes that the type of data collection depends on factors like the research design and problem. Procedures can vary in their degree of explicitness, from open and informal to highly structured. Developing good data collection requires converting variables into measurable units, selecting appropriate investigation procedures, piloting the instruments, and revising based on piloting. The key aspects are assuring reliability, validity, and quality of the data collection process.
Grace bible college res 811
This document provides instructions for two assignments for Grace Bible College's RES 811 course.
The first assignment asks students to write a 750-1000 word paper comparing three empirical articles by identifying common themes, conclusions that can be drawn, and the overall message.
The second assignment requires students to read 10 empirical articles in their dissertation field, annotate each with a citation, brief summary, and indication of whether it was added to their RefWorks list. The goal is to begin building a running literature review for their dissertation.
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This chapter discusses three approaches to research on instructional effectiveness: what works, when does it work, and how does it work. It also discusses criteria for selecting good experimental comparisons, including experimental control, random assignment, and appropriate measures. The chapter addresses how to interpret findings of no effect from experimental comparisons, and how to interpret research statistics in terms of statistical and practical significance. Finally, it provides guidance on how to identify relevant research, focusing on similarity of learners, experimental research design, replication of results, measures of application, and consideration of practical significance.
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This document provides an introduction and overview of the IT3010 Research Methodology course. It introduces the course staff and their contact information. It then discusses what research is, why research methods are important, and the course's learning objectives. The course will focus on qualitative empirical research and involve group exercises simulating research projects, along with an individual final essay. Students will be evaluated based on their contributions to the group assignments and presentations, as well as their individual final essay developing an original research plan.
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This document outlines the research process and provides guidance on conducting research. It discusses the basic types of research (theory oriented and practice oriented), research designs (qualitative, quantitative, mixed methods), and the typical structure of a research study. A research study generally includes an introduction, statement of the problem, literature review, methodology, summary/conclusion/recommendations, and references. The methodology section explains how the researcher will collect and analyze data to address the research problem. Following the research process helps ensure new knowledge is developed or confirmed in a systematic, unbiased manner.
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This document discusses various aspects of developing a research study, including identifying the research problem and questions. It provides examples of general and specific research questions for different types of research (descriptive, correlational, causal-comparative, experimental). It also discusses factors to consider in selecting a research topic, such as relevance and interest. Components of a research study are outlined, including background of the study, research gap, and significance. Readers are guided through activities to write research questions for sample topics and assess statements about research topics and questions.
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The document discusses different types of research techniques. It describes audience research as researching target audiences' behaviors, thoughts, and interests to gain better insights. Market research can help reveal competitors' strategies and audiences to lead in the market. Production research helps companies decide factory needs for their products. The document also outlines quantitative and qualitative data, and secondary and primary methods of research. Quantitative data measures things numerically, while qualitative explores how people think and feel. Secondary research uses existing data while primary involves first-hand research like surveys and interviews.
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The document outlines the key steps in formulating a research proposal, including:
1) Formulating the research problem by defining the purpose, scope, and variables of interest.
2) Conducting a literature review to understand previous work and identify gaps.
3) Developing research questions and objectives to guide the study.
4) Designing a methodology including selecting a research design, developing hypotheses, sampling approach, and data collection methods.
5) Analyzing data and writing a research report to communicate findings.
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Introduction to business research
It includes research processes and characteristics of good research.
Research process
The research process involves 8 key steps: 1) selecting a topic, 2) reviewing relevant literature, 3) developing theoretical and conceptual frameworks, 4) clarifying the research question, 5) designing the research methodology, 6) collecting data, 7) analyzing the data, and 8) drawing conclusions. Each step builds upon the previous ones by refining the research topic and question, justifying the theoretical and methodological approaches, and ultimately answering the research question based on an analysis of the collected data. The overall process is iterative and allows the research to be conducted in a logical and systematic manner.
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Here are the key points to consider in your broadcast:
- Clearly state the topic and purpose of the research
- Describe the methodology used in concise terms
- Present the key findings and results of the research
- Analyze and interpret the results and discuss their implications
- Maintain an objective tone without personal views
- Ensure the language is clear, concise and easy to understand
- Stay within the allotted time frame for the broadcast
Remember that the goal is to inform your audience about the research in an interesting yet concise manner. Best of luck with your broadcast!
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This document provides instructions for two assignments for Grace Bible College's RES 811 course.
The first assignment asks students to write a 750-1000 word paper comparing three empirical articles by identifying common themes, conclusions that can be drawn, and the overall message.
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This chapter discusses three approaches to research on instructional effectiveness: what works, when does it work, and how does it work. It also discusses criteria for selecting good experimental comparisons, including experimental control, random assignment, and appropriate measures. The chapter addresses how to interpret findings of no effect from experimental comparisons, and how to interpret research statistics in terms of statistical and practical significance. Finally, it provides guidance on how to identify relevant research, focusing on similarity of learners, experimental research design, replication of results, measures of application, and consideration of practical significance.
ppt on data collection , processing , analysis of data & report writing
This document provides information on data collection methods and statistical analysis. It discusses various types of data collection including observation, interviews, questionnaires, surveys, and case studies. It also covers primary and secondary sources of data. The document outlines steps for processing and analyzing data such as editing, coding, tabulation, and classification. It describes various statistical tools for analysis including measures of central tendency, dispersion, t-tests, and chi-square tests. Guidelines are provided for writing reports to communicate the results of a research study.
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TDT39 oppstartsmøte
This document provides an introduction and overview of the IT3010 Research Methodology course. It introduces the course staff and their contact information. It then discusses what research is, why research methods are important, and the course's learning objectives. The course will focus on qualitative empirical research and involve group exercises simulating research projects, along with an individual final essay. Students will be evaluated based on their contributions to the group assignments and presentations, as well as their individual final essay developing an original research plan.
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The document discusses scientific research methods and their application to museum studies. It covers the scientific method, which involves making observations, forming a hypothesis, testing through experiments, analyzing data, and drawing conclusions. It also discusses what constitutes data, different research techniques like surveys and interviews, ethical considerations, and ensuring validity and reliability in research. The scientific method aims to objectively study topics and provide reliable information to inform decision-making.
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This document outlines the research process and provides guidance on conducting research. It discusses the basic types of research (theory oriented and practice oriented), research designs (qualitative, quantitative, mixed methods), and the typical structure of a research study. A research study generally includes an introduction, statement of the problem, literature review, methodology, summary/conclusion/recommendations, and references. The methodology section explains how the researcher will collect and analyze data to address the research problem. Following the research process helps ensure new knowledge is developed or confirmed in a systematic, unbiased manner.
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The document compares two methods for conducting systematic literature reviews: database searches and backward snowballing. It aims to determine the extent to which the two methods find the same papers and draw the same conclusions. The results show the initial and final paper sets from each method are different in number and composition, though some papers overlap. While patterns identified allow for similar conclusions, analyzing only unique papers per method reveals slightly different identified patterns. The conclusion is that the two methods are not highly dependent on each other but combining them generates a more comprehensive analysis, though requires more work. More comparison studies are needed to fairly evaluate the methods.
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This document discusses various aspects of developing a research study, including identifying the research problem and questions. It provides examples of general and specific research questions for different types of research (descriptive, correlational, causal-comparative, experimental). It also discusses factors to consider in selecting a research topic, such as relevance and interest. Components of a research study are outlined, including background of the study, research gap, and significance. Readers are guided through activities to write research questions for sample topics and assess statements about research topics and questions.
Research techniques scott
The document discusses different types of research techniques. It describes audience research as researching target audiences' behaviors, thoughts, and interests to gain better insights. Market research can help reveal competitors' strategies and audiences to lead in the market. Production research helps companies decide factory needs for their products. The document also outlines quantitative and qualitative data, and secondary and primary methods of research. Quantitative data measures things numerically, while qualitative explores how people think and feel. Secondary research uses existing data while primary involves first-hand research like surveys and interviews.
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2) Conducting a literature review to understand previous work and identify gaps.
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Here are the key points to consider in your broadcast:
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Research process
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Research problem
This document discusses research problems and objectives. It defines a research problem as a question about the relationship between two or more variables. Identifying a good research problem is the first step and involves considering factors like significance, originality, and feasibility. Some sources of research problems mentioned include personal experience, literature reviews, previous research, and feedback. Key criteria for selecting a good problem relate to its significance, solvability, and relevance to the field. Research objectives should be specific, measurable, attainable, relevant and time-bound. The objectives focus on how variables will be measured and what the study aims to achieve.
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- It discusses different types of research such as descriptive vs. analytical and quantitative vs. qualitative.
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The document outlines the 8 key stages of the research process: 1) selecting a topic, 2) reviewing literature, 3) developing theoretical and conceptual frameworks, 4) clarifying the research question, 5) designing the research, 6) collecting data, 7) analyzing data, and 8) drawing conclusions. It emphasizes that research involves more than just data collection, and that following these stages in order will allow one to develop and answer the research question in a logical and systematic manner.
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The document discusses key aspects of research methodology including defining research, the research process, types of research, and approaches to research. It provides details on topics like the objectives and significance of research, as well as the various steps involved in the research process such as developing hypotheses, collecting and analyzing data, and reporting findings. Additionally, it differentiates between qualitative and quantitative research, and explores conceptual versus empirical research.
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- 1. RESEARCH PROECTS FOR MBA/MPM STUDENTS
- 2. LITERATURE SURVEY • LITERATURE SURVEY IS REQUIRED FOR THE FOLLOWING USE:• 1.TO SET A RESEARCH OBJECTIVE:Objectives should be specific, measurable, achievable, realistic and timely, so that research problem could be explored effectively.
- 3. • 2.TO FRAME A MANGEMENT QUESTION: ---WHAT IS THEIR PROBLEM--AIM IN THIS PROJECT • 3. TO SET A RESEARCH QUESTION:RESEARCH FOR A CAUSE IN THIS PROBLEM
- 4. SELECT A SAMPLE • REQUIRES HELP FROM INDUSTRIAL GUIDETYPE AND NATURE
- 5. DATA COLLECTION • GENERALLY A QUESTIONNAIRE OR AN INTRVIEW SCHEDULE.
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- 7. • Interval scale data would use parametric statistical techniques: • Mean and standard deviation Correlation - r Regression Analysis of variance Factor analysis
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