The document outlines the research process, including the purposes of research such as exploration, description, and explanation. It discusses key aspects of the research process like clearly defining the problem, reviewing existing literature, selecting an appropriate research design and data collection techniques, gathering and analyzing data, and presenting implications and conclusions. It provides details on phases of research like problem definition, literature review, selection of research design, data gathering, data analysis, and interpreting results. It also defines key research concepts and variables and describes common research designs such as cross-sectional, longitudinal, time series, and panel designs.
Part of a course I run introducing quantitative methods. One of the slideshows on my site www.kevinmorrell.org.uk please reference the site if you use any of it - hope it is useful.
An Overview of Chapter 3 - Research Methodologyschool
This powerpoint presentation contains a brief overview of the contents of Chapter 3 or Research Methodology. You can also find a sample that shows the different components of Chapter 3.
Kindly hit the like and subscribe buttons, thank you.
Part of a course I run introducing quantitative methods. One of the slideshows on my site www.kevinmorrell.org.uk please reference the site if you use any of it - hope it is useful.
An Overview of Chapter 3 - Research Methodologyschool
This powerpoint presentation contains a brief overview of the contents of Chapter 3 or Research Methodology. You can also find a sample that shows the different components of Chapter 3.
Kindly hit the like and subscribe buttons, thank you.
Statistical analysis, presentation on Data Analysis in Research.Leena Gauraha
presentation on Data Analysis in Research, Meaning of Data analysis, Objectives & Steps of Data analysis, Types of Data analysis, Benefits to Business from Data analysis, Data Interpretation Methods in Data analysis.
Review of "Survey Research Methods & Design in Psychology"James Neill
Reviews the 150 hour, third year psychology unit which examined survey research methods, with an emphasis on the second-half of the unit on MLR, ANOVA, power, and effect size.
Statistical analysis, presentation on Data Analysis in Research.Leena Gauraha
presentation on Data Analysis in Research, Meaning of Data analysis, Objectives & Steps of Data analysis, Types of Data analysis, Benefits to Business from Data analysis, Data Interpretation Methods in Data analysis.
Review of "Survey Research Methods & Design in Psychology"James Neill
Reviews the 150 hour, third year psychology unit which examined survey research methods, with an emphasis on the second-half of the unit on MLR, ANOVA, power, and effect size.
Research design decisions and be competent in the process of reliable data co...Stats Statswork
Research Design may be described as the researchers scheme of outlining the flow of his project. It is based on research design, that the researcher goes about gathering data to answer his research question. It enables the researcher to prioritize his work, create better questionnaires and arrive at conclusions with greater clarity. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
Learn More: http://bit.ly/2S312hb
Why Statswork?
Plagiarism Free | Unlimited Support | Prompt Turnaround Times | Subject Matter Expertise | Experienced Bio-statisticians & Statisticians | Statistics Across Methodologies | Wide Range Of Tools & Technologies Supports | Tutoring Services | 24/7 Email Support | Recommended by Universities
Contact Us:
Website: www.statswork.com/
Email: info@statswork.com
UnitedKingdom: +44-1143520021
India: +91-4448137070
WhatsApp: +91-8754446690
An outline of the major components of the research proposal:
Cover Page:
Title (A case study of …….)
Purpose why the research is conducted
Name and Address of the investigator (Student researcher)
Name and Address of the advisor
Logo
Month and Place where the proposal is written
Acknowledgement
Table of Contents
List of Tables
List of Figures
List of Acronyms
Background of the study: General to specific or deductive order is recommended
Statement of the problem: (Justification of the study)
Research Objectives, Research Questions, and Research Hypothesis:
1.3.1 Research Objectives – Ends to be met in conducting the research
This shows what the investigator will analyze and how;
What comparisons to make and at what level
General Objective: Often one statement directly related to the topic.
Specific Objectives: Often 3-5;
What the researcher want to achieve
What to analyze and compare
1.3.2 Research Questions – Questions to be answered to meet the research objectives or produce implications of the hypothesis.
1.3.3 Research Hypothesis (Optional) – Tentative propositions to be tested in the research.
1.4 Research Methodology:
1.4.1 Data Type and Source (Decide one of them or both by giving justifications)
Qualitative V/s Quantitative (Give reasons)
Primary Sources (Decide on which method or methods to use by stating justifiable reasons)
Questionnaires
Interviews
Observations
Focus group discussions
Secondary Sources (Decide on which method or methods to use by stating justifiable reasons) and exactly state the sources from which you will get the data.
-Reports, manuals, internal publications, data base systems, Journals and Publications for assessing existing findings and internet.
-Books for assessing theories and principles related to the topic etc.
1.4.2 Study design:
Census V/s Survey (Decide which one to use and why?).
Survey Design (Decide on the survey designs to be used by investigator clearly stating the reasons for your decision).
Sample Size (Use the sample size determinations formula as a base and make adjustments with due regard to the target population and the homogeneity or heterogeneity of the population characteristics).
Sampling Design (Show how and why you are going to use the different techniques of probability and/or non-probability sampling techniques).
1.4.3 Data Collection:
State the data collection tool or tools to be used with necessary justifications written in the proposal.
Questionnaire design
Questionnaire testing or pretesting if necessary
What is Research design ?, types and method of Research Design.
This presentation i have given in seminar hall for MBA students why when and how it would be helpful for a manager while they go for any think to start any new project and what are the pros and cons of Research Design.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
2. Purposes of Research
Exploration
gaining some familiarity with a topic, discovering some of its
main dimensions, and possibly planning more structured
research
Description
Census Bureau’s report on number of Americans
Political poll predicting who will win an election
Anthropologist’s ethnographic account of a preliterate tribe
Explanation
Take it one step further
3. Research ‘Musts’
Problem must be clearly recognized
Determine information already available and what
further information is required, as well as the best
approach for obtaining it
Obtain and assess information objectively to help
inform the decision
4. ‘Six’ Phases of Research
1. Problem definition
2. Literature review
3. Selection of research design, subjects, and data
collection techniques
4. Data gathering
5. Data processing and analysis
6. Implications, Conclusions, and Recommendations
5. Problem Definition
Describe broader context (background)
State the objectives or purposes
Inform reader about the scope of the study,
including defining any terms, limitations, or
restrictions
Reduces potential criticisms
State the hypothesis (es)
6. Literature Review
Gives theoretical rationale of problem being studied, what
research has been done and how it relates to the problem
Helpful to divide the literature into sub-topics for ease of
reading
Quality of literature should be assessed
Be sure to include well respected ‘individuals’ in the
research area (if they exist)
7. Selection of Research Design
The research design indicates the steps that will
need to be take and the sequence they will occur
Each design can rely on one ore more data
collection technique
Assess reliability and validity
Critical consideration in determining methodology
is the selection of subjects
8. Data Gathering
Must pretest
Design the sampling scheme
Questionnaires must be coded
9. Data processing and analysis
Describe demographics of the data
Compare behavior (if applicable)
Choose appropriate statistical technique (if applicable)
Look for patterns in data (if applicable)
10. Interpreting the Results
Make sure to consider the audience
Discuss implications for the population of
interest and future research
11. Operational Definitions
Variables first defined by conceptual definitions
that explain the concept the variable is trying to
capture
Variables then defined by operational definitions
which are definitions for how variable will be
measured
12. Language of Sampling
Population: entire collection of people/things
Parameter: # that results from measuring all units in
population
Sampling frame: specific data from which sample is drawn
Unit of analysis: type of object of interest
Sample: a subset of some of the units in the population
Statistic: # that results from measuring all units in the sample
13. Unit of Analysis
Major entity you are analyzing in your study
It is the type of object that makes up each data point
Individuals
Artifacts (books, photos, newspapers)
Geographical units
Social interactions
14. Unit of Analysis Error
In some studies people are allocated in groups, rather
than individually. When this is done, the unit of
allocation is different from the unit of analysis
(usually).
This is sometimes called a unit of analysis error.
It can result in studies having narrower confidence
intervals and receiving more weight than is appropriate.
15. Independent and Dependent Variables
independent variable is what
is manipulated
a treatment or program or
cause
‘Factor’
dependent variable is what is
affected by the independent
variable
effects or outcomes
‘Measure’
16. Research Design and Methodology
In general, a research design is like a blueprint for
the research.
Research Methodology concerns how the design is
implemented, how the research is carried out.
17. A few designs
Cross-Sectional Design
Longitudinal Design
Time Series Design
Panel Design
18. Cross-Sectional Design
A cross-sectional design is used for research that collects
data on relevant variables one time only from a variety of
people, subjects, or phenomena.
A cross-sectional designs provides a snapshot of the
variables included in the study, at one particular point in
time.
Cross-sectional designs generally use survey techniques
to gather data, for example, the U.S. Census.
19. Advantages: data on many variables, data from a large
number of subjects, data from dispersed subjects, data on
attitudes and behaviors, good for exploratory research,
generates hypotheses for future research, data useful to
many different researchers
Disadvantages: increased chances of error, increased cost
with more subjects and each location, cannot measure
change, cannot establish cause and effect, no control of
independent variable, difficult to rule out rival hypotheses,
static
20. Longitudinal Designs
A longitudinal design collects data over long periods of
time.
Measurements are taken on each variable over two or
more distinct time periods.
This allows the researcher to measure change in variables
over time.
21. Time Series Design
A Time Series Design collects data on the same
variable at regular intervals in the form of aggregate
measures of a population.
Time series designs are useful for:
establishing a baseline measure
describing changes over time
keeping track of trends
forecasting future (short term) trends
22. Advantages: data easy to collect, easy to present in graphs,
easy to interpret, can forecast short term trends
Disadvantages: data collection method may change over
time, difficult to show more than one variable at a
time, needs qualitative research to explain fluctuations,
assumes present trends will continue unchanged
23. Panel Designs
Panel Designs collect repeated measurements from the same
people or subjects over time.
Panel studies reveal changes at the individual level.
Advantages: reveals individual level changes, establishes time order of
variables, can show how relationships emerge
Disadvantages: difficult to obtain initial sample of subjects, difficult to
keep the same subjects over time, repeated measures may influence
subjects behavior