VARIABLES IN REASEARCH.pptx
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This document discusses variables in research and defines different types of variables. It explains that variables are anything that can vary, such as weight, height, or temperature, and identifies two main types - common and uncommon variables. The document provides examples of common variable types like qualitative and quantitative, and defines independent, dependent, and confounding variables. It notes that an independent variable is what is manipulated in a study to observe its effect on a dependent variable, while a confounding variable influences both and can produce misleading results.
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2. It defines different types of variables like independent and dependent variables, as well as moderator, control, quantitative, qualitative, continuous and discrete variables.
3. It also explains what a hypothesis is, the difference between the null and alternative hypotheses, and characteristics of a good hypothesis like being testable, logical, specific, related to the research problem, simple and expressed in the present tense.
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This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.ย
Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
โ What is event processing in MuleSoft?
โ Types of event processing models in Mule 4
โ Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
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- 2. VARIABLES Anything that has a quantity or quality that varies.
- 3. DEFINITION ๏ A variables, as the name implies, is something that varies. It may be weight, height, anxiety level, income, body temperature and so on. ๏ A characteristic, number, or quantity that increases or decreases over time, or takes different values in different situations.
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- 5. EXAMPLES Common Uncommon Qualitative Active Quantitative Grouping Independent Indicator Dependent Intervening Control Interval Confounding Dummy Continuous Binary
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