The Mann Witney U Test in statistics is related to a testing without considering any assumption as to the parameters of frequently distributed of a valueless hypothesis. It is similar to the value selected randomly from one sample, can be higher than or lesser than a value selected randomly from a second sample. Copy the link given below and paste it in new browser window to get more information on Mann Whitney U Test:- http://www.transtutors.com/homework-help/statistics/mann-whitney-u-test.aspx
The Mann Witney U Test in statistics is related to a testing without considering any assumption as to the parameters of frequently distributed of a valueless hypothesis. It is similar to the value selected randomly from one sample, can be higher than or lesser than a value selected randomly from a second sample. Copy the link given below and paste it in new browser window to get more information on Mann Whitney U Test:- http://www.transtutors.com/homework-help/statistics/mann-whitney-u-test.aspx
This presentation contains information about Mann Whitney U test, what is it, when to use it and how to use it. I have also put an example so that it may help you to easily understand it.
Factor analysis is a technique that is used to reduce a large number of variables into fewer numbers of factors. The basic assumption of factor analysis is that for a collection of observed variables there are a set of underlying variables called factors (smaller than the observed variables), that can explain the interrelationships among those variables.
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This presentation contains information about Mann Whitney U test, what is it, when to use it and how to use it. I have also put an example so that it may help you to easily understand it.
Factor analysis is a technique that is used to reduce a large number of variables into fewer numbers of factors. The basic assumption of factor analysis is that for a collection of observed variables there are a set of underlying variables called factors (smaller than the observed variables), that can explain the interrelationships among those variables.
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Chapter 10
Data Interpretation Issues
Learning Objectives
• Distinguish between random and
systematic errors
• State and describe sources of bias
• Identify techniques to reduce bias at the
design and analysis phases of a study
• Define what is meant by the term
confounding and provide three examples
• Describe methods to control confounding
Validity of Study Designs
• The degree to which the inference drawn
from a study, is warranted when account it
taken of the study, methods, the
representativeness of the study sample,
and the nature of the population from
which it is drawn.
Validity of Study Designs
• Two components of validity:
– Internal validity
– External validity
Internal Validity
• A study is said to have internal validity
when there have been proper selection of
study groups and a lack of error in
measurement.
• Concerned with the appropriate
measurement of exposure, outcome, and
association between exposure and
disease.
External Validity
• External validity implies the ability to
generalize beyond a set of observations to
some universal statement.
• A study is externally valid, or
generalizable, if it allows unbiased
inferences regarding some other target
population beyond the subjects in the
study.
Sources of Error in
Epidemiologic Research
• Random errors
• Systematic errors (bias)
Random Errors
• Reflect fluctuations around a true value of
a parameter because of sampling
variability.
Factors That Contribute to
Random Error
• Poor precision
• Sampling error
• Variability in measurement
Poor Precision
• Occurs when the factor being measured is
not measured sharply.
• Analogous to aiming a rifle at a target that
is not in focus.
• Precision can be increased by increasing
sample size or the number of
measurements.
• Example: Bogalusa Heart Study
Sampling Error
• Arises when obtained sample values
(statistics) differ from the values
(parameters) of the parent population.
• Although there is no way to prevent a
non-representative sample from
occurring, increasing the sample size
can reduce the likelihood of its
happening.
Variability in Measurement
• The lack of agreement in results from
time to time reflects random error
inherent in the type of measurement
procedure employed.
Bias (Systematic Errors)
• “Deviation of results or inferences
from the truth, or processes leading to
such deviation. Any trend in the
collection, analysis, interpretation,
publication, or review of data that can
lead to conclusions that are
systematically different from the
truth.”
Factors That Contribute to
Systematic Errors
• Selection bias
• Information bias
• Confounding
Selection Bias
• Refers to distortions that result from procedures
used to select subjects and from factors that
influence participation in the study.
• Arises when the relation between exposure and
disease is different for th ...
Critical Thinking and ArticleResearch Analysis Guidelines(Based.docxannettsparrow
Critical Thinking and Article/Research Analysis Guidelines
(Based on: Paul R. & Elder, L. (2014) Critical Thinking: Concepts & Tools. www.criticalthinking.org)
Why Critical Thinking?
The Problem:
Everyone thinks; it is our nature to do so. But much of our thinking, left to itself, is biased, distorted, partial, uninformed, or down-right prejudiced. Yet the quality of our life and that of what we produce, make, or build depends precisely on the quality of our though. Shoddy thinking is costly, both in money and in quality of life. Excellence in thought, however, must be systematically cultivated.
A Definition:
Critical thinking is the art of analyzing and evaluating thinking with a view to improving it.
The Result:
A well cultivated critical thinker:
· Raises vital questions and problems, formulating them clearly and precisely;
· Gathers and assesses relevant information, using abstract ideas to interpret it effectively;
· Comes to well-reasoned conclusions and solutions, testing them against relevant criteria and standards;
· Thinks open-mindedly within alternative systems of thought, recognizing and assessing, as need be, their assumptions, implications, and practical consequences; and
· Communicates effectively with others in figuring out solutions to complex problems.
Critical thinking is, in short, self-directed, self-disciplined, self-monitored, and self-corrective thinking. It requires rigorous standards of excellence and mindful command of their use. It entails effective communication and problem solving abilities and a commitment to overcoming our native egocentrism and sociocentrism.
Analyzing & Assessing Research
Use this template to assess the quality of any research project or paper.
1. All research has a fundamental PURPOSE and goal.
· Research purposes and goals should be clearly stated.
· Related purposes should be explicitly distinguished.
· All segments of the research should be relevant to the purpose.
· All research purposes should be realistic and significant.
2. All research addresses a fundamental QUESTION, problem, or issue.
· The fundamental question at issue should be clearly and precisely stated.
· Related questions should be articulated and distinguished.
· All segments of the research should be relevant to the central question.
· All research questions should be realistic and significant.
· All research questions should define clearly stated intellectual tasks that, being fulfilled, settle the questions.
3. All research identifies data, INFORMATION, and evidence relevant to its fundamental question and purpose.
· All information should be clear, accurate, and relevant to the fundamental question at issue.
· Information gathered must be sufficient to settle the question at issue.
· Information contrary to the main conclusions of the research should be explained.
4. All research contains INFERENCES or interpretations by which conclusions are drawn.
· All conclusions should be clea.
A project of psychology on the topic Drug Addiction with the help of survey
Link to the powerpoint file and Questionnaire used for survey:
Powerpoint File: http://www.slideshare.net/SafeerAli7/drug-addiction-67095937
Questionnaire: http://www.slideshare.net/SafeerAli7/questionnaire-67095755
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
4. Risk of experiment on human subject
• Deception, manipulation, priming, scenario.
– May harm participants’ mind.
– Mental fatigue.
• Examples?
5. Informed consent
• Information about the experiment and its risk.
– As a basis for participants to decide after they
understand what the research involves (risks and
benefits ).
• Written consent vs unwritten consent.
– Written:
• Investigators must typically obtain and document voluntary
informed consent from research subjects.
– Unwritten:
• button on an online form to indicate they have read and
understood the consent form.
6. Informed consent in online experiment
• Limited interaction with participants
– investigator often cannot tell whether a subject understood the
informed consent statement.
• Online form:
– Researchers can increase the likelihood that subjects are granting truly
informed consent by requiring feedback from subjects about their
level of understanding,
• Example:
– by requiring a “click to accept” for each element in an informed
consent statement or even administering short quizzes to establish
that a subject understood.
• Reduce response rate:
– Increase nonresponse to sensitive items (Singer, 1978)
– Possibly produce biased data (Trice, 1987).
7. Risk in online experiment
• It exposes subjects to innocuous questions and benign
or transient experiences with little lasting impact.
• In general, online experiments is no more risky than
any of their offline counterparts.
• In some respects, they may be less risky:
– The reduced social pressure (Sproull & Kiesler, 1991) in
online surveys or experiments makes it easier for subjects
to quit whenever they feel discomfort.
– This freedom to withdraw is no trivial benefit, given the
strong pressures to continue in face-to-face studies (e.g.,
Milgram, 1963) and even telephone calls.
8. Risk in online experiment
• Although risk in online settings is typically low,
the actual risk depends on the specifics of the
study.
• For example:
– Some questions in a survey or feedback from an
experiment may cause subjects to reflect on
unpleasant experiences or to learn something
unpleasant about themselves
– e.g., Nosek et al.’s, 2002b, research on automatic
stereotyping.
9. Risk in online experiment
• Experiments that deliberately manipulate a:
– subject’s sense of self-worth,
– reveal a lack of cognitive ability,
– challenge deeply held beliefs or attitudes, or
– disclose some other real or perceived
characteristic
..... may result in mental or emotional harm to some
subjects.
10. Debriefing
• American Psychological Association (2002)
ethical guidelines call for debriefing subjects:
– “Providing an explanation of the nature, results,
and conclusions of the research—as soon after
their participation as practical.“
• If deception was involved:
– Researcher needs to explain the value of the
research results and why deception was
necessary.
11. Debriefing in online experiment
• When conducting research online:
– Researchers can post debriefing materials at a
Web site,
– Provide debriefing materials to those who leave
before completing the research (Nosek, Banaji, &
Greenwald, 2002a).
– For example, researchers can deliver debriefing
material through a link to a “leave the study”
button or through a pop-up window, which
executes when a subject leaves a defined Web.
12. Debriefing in online experiment
• Appropriate debriefing in online research may
be difficult:
– The absence of a researcher in the online setting
makes it difficult to assess a subject’s state.
– Difficult to determine whether an individual has
been upset by an experimental procedure or
understands feedback received.
15. Controlling Extraneous Variables
Randomisation
Randomly assigning test units to experimental groups by using random
numbers
Matching
Comparing test units on a set of key background variables before assigning
them to the treatment
Statistical Control
Measuring the extraneous variables and adjusting for their effects through
statistical analysis
Design Control
Use of experiments designed to control specific extraneous variables
16. Case: Beauty is in the eye of the beholder
Scientists have found a link between drinking
alcohol and perceptions of beauty
80 students were shown colour photographs of
120 male and female students and were asked to
rate the aesthetic properties on a 7-point scale
from high unattractive to highly attractive
Half the students had drunk up to four units of
alcohol, the other half had no alcohol.
The students who had consumed alcohol rated
the people in the photographs as more attractive
than the student who did not consume alcohol.
Source: http://www.theage.com.au/articles/2002/09/091031115991721.html