This document discusses key concepts in psychological measurement. It defines measurement and provides examples. A psychological construct is defined as a variable that is conceptualized but not directly observable, like intelligence. Constructs are measured using operational definitions that specify how the construct will be measured in practice. There are four levels of measurement: nominal, ordinal, interval, and ratio. Reliability ensures consistent measurement and validity ensures a measure actually measures the intended construct. Reliability is assessed over time, between items, and between raters. Validity includes face, content, criterion, and construct varieties. Proper measurement requires defining a construct, choosing a measure, implementing it carefully, and evaluating the reliability and validity.
Dr. Lani discusses all aspects of the dissertation methodology, including: selecting a survey instrument, population, reliability, validity, data analysis plan, and IRB/URR considerations.
Dr. Lani discusses all aspects of the dissertation methodology, including: selecting a survey instrument, population, reliability, validity, data analysis plan, and IRB/URR considerations.
How to design surveys; describes differences between approaches to measuring awareness, opinions, perceptions, behaviors, needs and attitudes; describes roles of survey sponsor and researcher.
In the mid-2000's OPRA, together with Dr. Duncan Jackson, conducted some cutting edge research into assessments centres. The purpose: to establish what assessment centres really measure and how to maximise prediction of performance. The research has been published globally and these slides cover the key findings of this work.
Lecture 2:
What is statistics?
Types of statistics
Types of research and types of statistics
Levels of measurement
Rules of using measurement
Hands on: Graphical Descriptive Techniques
Format of asking
How to design surveys; describes differences between approaches to measuring awareness, opinions, perceptions, behaviors, needs and attitudes; describes roles of survey sponsor and researcher.
In the mid-2000's OPRA, together with Dr. Duncan Jackson, conducted some cutting edge research into assessments centres. The purpose: to establish what assessment centres really measure and how to maximise prediction of performance. The research has been published globally and these slides cover the key findings of this work.
Lecture 2:
What is statistics?
Types of statistics
Types of research and types of statistics
Levels of measurement
Rules of using measurement
Hands on: Graphical Descriptive Techniques
Format of asking
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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Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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2. 19. Understanding Psychological
Measurement
•Learning Objectives
•Define measurement and give several examples of
measurement in psychology.
•Explain what a psychological construct is and give several
examples.
•Distinguish conceptual from operational definitions, give
examples of each, and create simple operational
definitions.
•Distinguish the four levels of measurement, give examples
of each, and explain why this distinction is important.
3. Measurement
•“the assignment of scores to individuals so that the scores
represent some characteristic of the individuals”
•Examples
•Using a scale to “measure” one’s weight
•Using a thermometer to “measure” the internal
temperature of a turkey roasting
•In Psychology, we can also refer to measurement as
Psychometrics
•Using a test to “measure” one’s working memory capacity
4. What Do We Measure in
Psychology?
•Constructs: variables we want to measure that are seemingly
not straightforward or simple to measure
•i.e., A concept we are trying to measure
•Must use a conceptual definition
• Describes the behavior and internal processes that
make up that construct, along with how it relates to
other variables
5. How Do We Measure It?
•Must use the operational definition
•A definition of the variable in terms of precisely how it will
be measured
•Types
•Self-report measure
•Behavioral measures
•Physiological measures
6. Levels (or Scales) of Measurement
•A variable can be measured on one of four scales:
•Nominal
•Ordinal
•Interval
•Ratio
•Important: Determines the type of statistics you can do and
conclusions you can make
9. Scales of Measurement Flow
Chart
Does the
scale involve
categories or
numbers?
Category
Can the
Categories be
ordered?
Numbers
Does the scale
have a true
zero point
(absence of
variable)?
Yes Ordinal
No Nominal
Yes Ratio
No Interval
10. Examples- Question 1
•If I wanted to see which table students are
more likely to approach at an organizational fair
(labeled Table 1, Table 2 & Table 3), what type
of scale would this be?
11. Examples- Question 2
•If I wanted to see which table students are
more likely to approach at an
organizational fair (the 1st from the right,
2nd, or 3rd), what type of scale would this
be?
15. 20. Reliability and Validity of
Measurement
•Learning Objectives
•Define reliability, including the different types and how
they are assessed.
•Define validity, including the different types and how they
are assessed.
•Describe the kinds of evidence that would be relevant to
assessing the reliability and validity of a particular
measure.
16. Reliability vs. Validity
► Reliability: Ability to obtain consistent scores
► Validity: Ability of a test to measure what it’s supposed to
High Accuracy, Low Precision Low Accuracy, High Precision
18. Types of Reliability & Validity
Reliability Validity
Over time:
• Ability of a measure to be consistent
across multiple administrations
• Test-retest
Across items (internal):
• Ability of the same test to be consistent
throughout
• Split-half
Across different researchers:
• Ability for different people to measure
the same test consistently
• Inter-rater
Face Validity:
• How accurate something looks on the
surface
Content (Internal):
• The extent to which your test
accurately/actually measures the
behavior you are trying to measure
(conceptual definition)
Criterion Validity:
• Extent to which scores on a measure
correlate with other related variables
(as they should)
• Predictive or concurrent validity
• Convergent validity
Discriminant
• Extent to which scores on a measure
DO NOT correlate with other UNrelated
variables
19. Describe Reliability and Validity
► Scenario #1:
► The Morris Shoe-Size Intelligence Test
► IQ = shoe size x 10
► Scenario #2:
► You have 15 s to write as many t’s as you can
► Discuss the techniques you used to perform this
task
► Now, I’ll give you another 15s to repeat the task
Bolt, M. Instructor resources for Psychology retrieved from http://bcs.worthpublishers.com/WebPub/Psychology/myers11e/irm_pdf/myers11e_irm_ch10.pdf
20. 21. Practical Strategies for
Psychological Measurement
•Learning Objectives
•Specify the four broad steps in the measurement process.
•Explain how you would decide whether to use an existing
measure or create your own.
•Describe multiple strategies to identify and locate existing
measures of psychological constructs.
•Describe several general principles for creating new
measures and for implementing existing and new
measures.
•Create a simple plan for assessing the reliability and
validity of an existing or new measure.
21. Steps in the Measurement Process
•Conceptually define the Construct
•Decide on Operational Definition
•Using an existing measure
•Creating your own measure
•Implementing the Measure
•Caution: Look out for socially desirable responding and
demand characteristics
•Evaluating the Measure