The reliability of a psychometric test aims to measure the consistency of the result or outcome of a test over time and between different test takers.
Here is how #Xobin psychometric assessments satisfy the 4 conditions of ‘reliability’.
The document discusses the reliability of language tests. It defines reliability as the ability of a test to consistently produce the same results under the same conditions. There are different types of reliability: test-retest reliability measures consistency over time; parallel forms reliability uses different but comparable test forms; and internal consistency examines consistency between parts of the same test using methods like split-half reliability and Cronbach's alpha. Reliability can be affected by factors like test length, range of scores, and item similarity. Ensuring high reliability is important so tests accurately measure constructs without measurement error.
Reliability and its types pptx Presentationaliceella25970
Reliability refers to the consistency of a measure and whether a test would produce the same results over multiple administrations. There are several ways to estimate reliability, including test-retest reliability, parallel forms reliability, and internal consistency reliability. Reliability can be affected by factors related to the test takers themselves as well as the testing environment and administration. To improve reliability, tests should provide detailed scoring keys, avoid ambiguous items, and use objective questions.
This document defines key concepts in educational measurement including reliability and validity. It discusses how reliability refers to the consistency of a test and can be estimated using methods like test-retest, equivalent forms, and split-half. Validity refers to a test measuring what it intends to measure and includes content, concurrent, predictive, and construct validity. Factors like test length, difficulty, and testing conditions can influence reliability, while clarity, difficulty level, and administration/scoring procedures can impact validity.
The document discusses reliability and validity in research tools. It defines reliability as consistency of data collection and validity as measuring what is intended. It discusses different types of reliability - stability over time, equivalence of alternate forms, and internal consistency. It also discusses different types of validity - content, criterion, and construct validity. Factors like threats to groups, regression, time, and respondents' history can affect validity. Reliability ensures consistency while validity determines accuracy of what is measured.
This document summarizes key concepts related to effective employment testing and hiring. It discusses characteristics of effective selection techniques including reliability, validity, cost efficiency, and legal defensibility. Specific topics covered include types of reliability, ways to establish validity, utility analysis methods like Taylor-Russell tables and proportion of correct decisions, and ensuring fairness and reducing adverse impact. The document provides an overview of important concepts for developing and evaluating employment tests and selection procedures.
Reliability refers to the consistency of test scores. A reliable test will produce similar results over multiple test administrations. There are several methods for determining reliability, including internal consistency, test-retest reliability, inter-rater reliability, and split-half reliability. Validity refers to how well a test measures what it intends to measure. Validity can be established through face validity, construct validity, content validity, and criterion validity. Both reliability and validity are important for a high quality test, as a test can be reliable without being valid.
This document discusses establishing the validity and reliability of research instruments. It defines a research instrument as a tool to measure variables of interest, and validity as measuring what was intended. There are several types of validity discussed, including face validity, construct validity, criterion-related validity, and formative validity. Reliability is the consistency of measurements and several types are described, such as test-retest reliability, parallel forms reliability, inter-rater reliability, and internal consistency reliability. Examples are provided to illustrate each concept.
The document discusses the reliability of language tests. It defines reliability as the ability of a test to consistently produce the same results under the same conditions. There are different types of reliability: test-retest reliability measures consistency over time; parallel forms reliability uses different but comparable test forms; and internal consistency examines consistency between parts of the same test using methods like split-half reliability and Cronbach's alpha. Reliability can be affected by factors like test length, range of scores, and item similarity. Ensuring high reliability is important so tests accurately measure constructs without measurement error.
Reliability and its types pptx Presentationaliceella25970
Reliability refers to the consistency of a measure and whether a test would produce the same results over multiple administrations. There are several ways to estimate reliability, including test-retest reliability, parallel forms reliability, and internal consistency reliability. Reliability can be affected by factors related to the test takers themselves as well as the testing environment and administration. To improve reliability, tests should provide detailed scoring keys, avoid ambiguous items, and use objective questions.
This document defines key concepts in educational measurement including reliability and validity. It discusses how reliability refers to the consistency of a test and can be estimated using methods like test-retest, equivalent forms, and split-half. Validity refers to a test measuring what it intends to measure and includes content, concurrent, predictive, and construct validity. Factors like test length, difficulty, and testing conditions can influence reliability, while clarity, difficulty level, and administration/scoring procedures can impact validity.
The document discusses reliability and validity in research tools. It defines reliability as consistency of data collection and validity as measuring what is intended. It discusses different types of reliability - stability over time, equivalence of alternate forms, and internal consistency. It also discusses different types of validity - content, criterion, and construct validity. Factors like threats to groups, regression, time, and respondents' history can affect validity. Reliability ensures consistency while validity determines accuracy of what is measured.
This document summarizes key concepts related to effective employment testing and hiring. It discusses characteristics of effective selection techniques including reliability, validity, cost efficiency, and legal defensibility. Specific topics covered include types of reliability, ways to establish validity, utility analysis methods like Taylor-Russell tables and proportion of correct decisions, and ensuring fairness and reducing adverse impact. The document provides an overview of important concepts for developing and evaluating employment tests and selection procedures.
Reliability refers to the consistency of test scores. A reliable test will produce similar results over multiple test administrations. There are several methods for determining reliability, including internal consistency, test-retest reliability, inter-rater reliability, and split-half reliability. Validity refers to how well a test measures what it intends to measure. Validity can be established through face validity, construct validity, content validity, and criterion validity. Both reliability and validity are important for a high quality test, as a test can be reliable without being valid.
This document discusses establishing the validity and reliability of research instruments. It defines a research instrument as a tool to measure variables of interest, and validity as measuring what was intended. There are several types of validity discussed, including face validity, construct validity, criterion-related validity, and formative validity. Reliability is the consistency of measurements and several types are described, such as test-retest reliability, parallel forms reliability, inter-rater reliability, and internal consistency reliability. Examples are provided to illustrate each concept.
This document discusses the meaning and importance of reliability in testing. It defines reliability as the consistency or stability of test scores if the test is administered multiple times. Several methods for estimating reliability are described, including test-retest reliability, alternate forms reliability, and internal consistency estimates like split-half reliability and Cronbach's alpha. Factors that can impact reliability coefficients like test length, score range, and guessing are also covered.
What makes a good testA test is considered good” if the .docxmecklenburgstrelitzh
A good test is valid, reliable, job-relevant, and allows for effective decision making. A test is valid if it measures what it claims to measure, and reliability refers to a test's consistency. A test must demonstrate both reliability and validity to be considered a good assessment tool. Reliability is determined by coefficients like Cronbach's alpha, and validity is established through methods like criterion-related, content, and construct validation involving the target population. Test manuals provide information on a test's reliability, validity, appropriate uses and populations.
Reliability (assessment of student learning I)Rey-ra Mora
Reliability refers to the consistency of test results over time and across raters. There are several potential sources of error in test scores, including issues with the test-taker, test administration, test scoring, and test construction. Several methods can be used to estimate a test's reliability, including test-retest reliability, inter-rater reliability, parallel forms reliability, internal consistency reliability, split-half reliability, and the Kuder Richardson method. Ensuring high reliability is important so that tests produce consistent results.
This document discusses validity and reliability in assessment instruments. It defines validity as the ability of an instrument to measure what it intends to measure, and reliability as an instrument's ability to provide consistent results. There are several types of validity discussed, including content validity, construct validity, and criterion validity. Establishing validity involves defining the domain and components being measured, developing items, and expert review. Reliability can be determined through stability, alternate forms, and internal consistency. Statistical analysis is used to calculate reliability coefficients, with 0.80 or higher generally indicating adequate reliability. For an assessment to be useful, it must demonstrate both validity and reliability.
Meaning and Methods of Estimating Reliability of Test.pptxsarat68
This document discusses the meaning and methods of estimating the reliability of tests. It defines reliability as the consistency or stability of test scores. Several methods for estimating reliability are described, including test-retest reliability, alternate forms reliability, and internal consistency reliability using split-half, Cronbach's alpha, and Kuder-Richardson formulas. Factors that influence reliability coefficients are also examined, such as test length, range of scores, and the ability to guess answers correctly.
Unlocking Potential: A Guide to Psychometric Assessment ToolsAcadecraft Pvt. Ltd.
"Unlocking Potential: A Guide to Psychometric Assessment Tools" is a comprehensive resource designed to help individuals understand and leverage psychometric assessment tools to unlock their full potential. Here's an explanation of what this guide entails:
https://www.acadecraft.com/psychometric-services/psychometric-assessment/
The document discusses various criteria for good questionnaire measurement, including validity, reliability, sensitivity, and appropriate measurement scales. It defines types of validity like content validity, criterion validity, and construct validity. It also explains reliability measures such as test-retest reliability and internal consistency reliability. The document provides examples to illustrate key concepts like sensitivity, single-item scales, multiple choice scales, forced choice ranking, and the paired comparison technique.
This document discusses reliability and validity in psychological testing. It defines reliability as the consistency and repeatability of test scores. There are several types of reliability: test-retest, parallel forms, inter-rater, and internal consistency. Validity refers to how well a test measures what it intends to measure. There are different aspects of validity including internal, external, content, face, criterion, construct, convergent, and discriminant validity. Reliability is a necessary but not sufficient condition for validity - a test can be reliable without being valid if it does not accurately measure the intended construct.
Reliability refers to the consistency of a measure. There are several types of reliability: test-retest, equivalency, inter-rater, and internal consistency. Test-retest reliability assesses consistency over time, equivalency assesses consistency between alternate forms, inter-rater assesses consistency between raters, and internal consistency assesses consistency between items. Factors like memory, practice effects, and maturation can impact reliability over time. Reliability is important for a measure to be valid and useful. Ways to improve reliability include making tests longer, carefully constructing items, and standardizing administration procedures.
Reliability refers to the consistency of a measure. There are several types of reliability: test-retest, equivalency, inter-rater, and internal consistency. Test-retest reliability assesses consistency over time, equivalency assesses consistency between parallel forms, inter-rater assesses consistency between raters, and internal consistency assesses consistency between items. Factors like memory, practice effects, and maturation can impact reliability over time. Reliability is important for a measure to be valid and useful. Ways to improve reliability include making tests longer, carefully constructing items, and standardizing administration procedures.
This document discusses the concept of reliability in testing. It provides several definitions of reliability from dictionaries and researchers. Reliability refers to the consistency and repeatability of test results. The document outlines different types of reliability, including test-retest reliability, parallel-form reliability, and internal consistency reliability. It also discusses factors that can affect reliability, such as test length, heterogeneity of scores, difficulty level, test administration, scoring, and the passage of time between test administrations. Controlling for these factors can improve a test's reliability.
The document discusses important characteristics of a good evaluation tool. An effective evaluation tool should be objective, comprehensive, objective, have discriminating power, reliability, validity, and usability. It should measure predefined objectives, cover all teaching points, be free of bias in questions and scoring, discriminate student performance levels, produce consistent results, measure what it is intended to measure as shown by content, criterion, construct, and face validity, and be easy to administer and score.
This document discusses reliability in assessment tools and research methods. It defines reliability as consistent or dependable results from an assessment instrument each time it is used in the same setting with the same subjects. Four ways to assess reliability are described: test-retest reliability, parallel forms reliability, inter-rater reliability, and internal consistency reliability. Tips for testing reliability include planning ahead, noting the environment, considering participants, thoroughly reviewing results, and considering the type of research.
This document discusses validity and reliability in quantitative research. It defines validity as the ability of an instrument to measure what it is designed to measure, and reliability as the consistency of measurements. There are several types of validity, including face validity, content validity, criterion validity, and construct validity. Reliability can be measured through test-retest reliability, parallel-forms reliability, and internal consistency reliability. Both validity and reliability are important for research quality and ensuring an instrument accurately measures the intended construct. A test cannot be considered valid without also being reliable.
Reliability in assessment refers to the consistency, stability, and dependability of measurement tools and procedures used to evaluate individuals' knowledge, skills, or attributes. It is a crucial aspect of assessment, ensuring that the results obtained are accurate, reproducible, and free from random error. A reliable assessment instrument consistently yields similar results when administered under consistent conditions, allowing for trustworthy and meaningful interpretations.
There are several key facets of reliability in assessment:
1. **Test-Retest Reliability:** This aspect assesses the consistency of results when the same test is administered to the same group of individuals on two separate occasions. A highly reliable assessment will produce similar scores each time the test is taken, assuming that no significant changes have occurred in the participants' knowledge or abilities.
2. Internal Consistency Reliability: This dimension evaluates the degree of consistency among different items within the same test. High internal consistency indicates that all items are measuring the same underlying construct, providing a reliable overall score.
3. Inter-Rater Reliability: When assessments involve subjective judgment or scoring, inter-rater reliability ensures consistency among different raters or evaluators. It measures the agreement between different individuals scoring the same responses or performances.
4. Parallel Forms Reliability: This form of reliability involves the use of two different but equivalent versions of a test to assess consistency in measurement. If both forms yield similar results, it suggests that the assessment is reliable across different sets of items.
Reliability is fundamental for drawing meaningful conclusions from assessments, as it ensures that the obtained scores accurately reflect the participants' true abilities or characteristics rather than random fluctuations or errors. A reliable assessment provides a solid foundation for decision-making in various fields, including education, psychology, employment, and healthcare. Researchers, educators, and practitioners prioritize reliability to enhance the validity and credibility of assessment outcomes, ultimately leading to more informed and accurate evaluations.
Reliability refers to the consistency of test scores. There are three main types of reliability: stability, equivalence, and homogeneity. Stability measures consistency over time, equivalence uses alternative versions of a test, and homogeneity examines internal consistency. Factors like data collection methods, time intervals, and test administration can influence reliability. To improve reliability, tests should have clear, unambiguous questions and objective scoring. Rater reliability specifically measures consistency between raters or judges.
The document discusses the concepts of reliability, validity, and utility in research. It defines reliability as providing consistent results, validity as measuring what is intended, and utility as being practical to implement. The document then examines various methods for establishing reliability, such as test-retest reliability and internal consistency. It also explores different aspects of validity like content validity, criterion validity, and construct validity. Finally, it notes factors that determine the utility or practicality of a measurement tool, such as administration time and costs.
This document discusses various methods for measuring the reliability of assessment tools, including inter-rater reliability, test-retest reliability, parallel forms reliability, internal consistency reliability, and the split half method. Inter-rater reliability assesses consistency between raters, while test-retest reliability examines consistency over time. Parallel forms reliability looks for similar results between variations of a test. Internal consistency reliability uses Cronbach's alpha to measure item consistency, and the split half method correlates scores between halves of a test.
Topic: What is Reliability and its Types?
Student Name: Kanwal Naz
Class: B.Ed 1.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Social Boldness as a personal trait in an organizational trait.Xobin
People who choose to be bold are inspiring not just because they accomplish big things but also because they instigate growth, progress, and movement for themselves and others around them.
Being highly sensitive is an invaluable trait that comes with many advantages. HSPs are highly observant, intuitive, thoughtful, compassionate, 😇 empathetic, conscientious, loyal, and 🤓 creative.
Managers consistently rate people with higher sensitivity as their pinnacle contributors.
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This document discusses the meaning and importance of reliability in testing. It defines reliability as the consistency or stability of test scores if the test is administered multiple times. Several methods for estimating reliability are described, including test-retest reliability, alternate forms reliability, and internal consistency estimates like split-half reliability and Cronbach's alpha. Factors that can impact reliability coefficients like test length, score range, and guessing are also covered.
What makes a good testA test is considered good” if the .docxmecklenburgstrelitzh
A good test is valid, reliable, job-relevant, and allows for effective decision making. A test is valid if it measures what it claims to measure, and reliability refers to a test's consistency. A test must demonstrate both reliability and validity to be considered a good assessment tool. Reliability is determined by coefficients like Cronbach's alpha, and validity is established through methods like criterion-related, content, and construct validation involving the target population. Test manuals provide information on a test's reliability, validity, appropriate uses and populations.
Reliability (assessment of student learning I)Rey-ra Mora
Reliability refers to the consistency of test results over time and across raters. There are several potential sources of error in test scores, including issues with the test-taker, test administration, test scoring, and test construction. Several methods can be used to estimate a test's reliability, including test-retest reliability, inter-rater reliability, parallel forms reliability, internal consistency reliability, split-half reliability, and the Kuder Richardson method. Ensuring high reliability is important so that tests produce consistent results.
This document discusses validity and reliability in assessment instruments. It defines validity as the ability of an instrument to measure what it intends to measure, and reliability as an instrument's ability to provide consistent results. There are several types of validity discussed, including content validity, construct validity, and criterion validity. Establishing validity involves defining the domain and components being measured, developing items, and expert review. Reliability can be determined through stability, alternate forms, and internal consistency. Statistical analysis is used to calculate reliability coefficients, with 0.80 or higher generally indicating adequate reliability. For an assessment to be useful, it must demonstrate both validity and reliability.
Meaning and Methods of Estimating Reliability of Test.pptxsarat68
This document discusses the meaning and methods of estimating the reliability of tests. It defines reliability as the consistency or stability of test scores. Several methods for estimating reliability are described, including test-retest reliability, alternate forms reliability, and internal consistency reliability using split-half, Cronbach's alpha, and Kuder-Richardson formulas. Factors that influence reliability coefficients are also examined, such as test length, range of scores, and the ability to guess answers correctly.
Unlocking Potential: A Guide to Psychometric Assessment ToolsAcadecraft Pvt. Ltd.
"Unlocking Potential: A Guide to Psychometric Assessment Tools" is a comprehensive resource designed to help individuals understand and leverage psychometric assessment tools to unlock their full potential. Here's an explanation of what this guide entails:
https://www.acadecraft.com/psychometric-services/psychometric-assessment/
The document discusses various criteria for good questionnaire measurement, including validity, reliability, sensitivity, and appropriate measurement scales. It defines types of validity like content validity, criterion validity, and construct validity. It also explains reliability measures such as test-retest reliability and internal consistency reliability. The document provides examples to illustrate key concepts like sensitivity, single-item scales, multiple choice scales, forced choice ranking, and the paired comparison technique.
This document discusses reliability and validity in psychological testing. It defines reliability as the consistency and repeatability of test scores. There are several types of reliability: test-retest, parallel forms, inter-rater, and internal consistency. Validity refers to how well a test measures what it intends to measure. There are different aspects of validity including internal, external, content, face, criterion, construct, convergent, and discriminant validity. Reliability is a necessary but not sufficient condition for validity - a test can be reliable without being valid if it does not accurately measure the intended construct.
Reliability refers to the consistency of a measure. There are several types of reliability: test-retest, equivalency, inter-rater, and internal consistency. Test-retest reliability assesses consistency over time, equivalency assesses consistency between alternate forms, inter-rater assesses consistency between raters, and internal consistency assesses consistency between items. Factors like memory, practice effects, and maturation can impact reliability over time. Reliability is important for a measure to be valid and useful. Ways to improve reliability include making tests longer, carefully constructing items, and standardizing administration procedures.
Reliability refers to the consistency of a measure. There are several types of reliability: test-retest, equivalency, inter-rater, and internal consistency. Test-retest reliability assesses consistency over time, equivalency assesses consistency between parallel forms, inter-rater assesses consistency between raters, and internal consistency assesses consistency between items. Factors like memory, practice effects, and maturation can impact reliability over time. Reliability is important for a measure to be valid and useful. Ways to improve reliability include making tests longer, carefully constructing items, and standardizing administration procedures.
This document discusses the concept of reliability in testing. It provides several definitions of reliability from dictionaries and researchers. Reliability refers to the consistency and repeatability of test results. The document outlines different types of reliability, including test-retest reliability, parallel-form reliability, and internal consistency reliability. It also discusses factors that can affect reliability, such as test length, heterogeneity of scores, difficulty level, test administration, scoring, and the passage of time between test administrations. Controlling for these factors can improve a test's reliability.
The document discusses important characteristics of a good evaluation tool. An effective evaluation tool should be objective, comprehensive, objective, have discriminating power, reliability, validity, and usability. It should measure predefined objectives, cover all teaching points, be free of bias in questions and scoring, discriminate student performance levels, produce consistent results, measure what it is intended to measure as shown by content, criterion, construct, and face validity, and be easy to administer and score.
This document discusses reliability in assessment tools and research methods. It defines reliability as consistent or dependable results from an assessment instrument each time it is used in the same setting with the same subjects. Four ways to assess reliability are described: test-retest reliability, parallel forms reliability, inter-rater reliability, and internal consistency reliability. Tips for testing reliability include planning ahead, noting the environment, considering participants, thoroughly reviewing results, and considering the type of research.
This document discusses validity and reliability in quantitative research. It defines validity as the ability of an instrument to measure what it is designed to measure, and reliability as the consistency of measurements. There are several types of validity, including face validity, content validity, criterion validity, and construct validity. Reliability can be measured through test-retest reliability, parallel-forms reliability, and internal consistency reliability. Both validity and reliability are important for research quality and ensuring an instrument accurately measures the intended construct. A test cannot be considered valid without also being reliable.
Reliability in assessment refers to the consistency, stability, and dependability of measurement tools and procedures used to evaluate individuals' knowledge, skills, or attributes. It is a crucial aspect of assessment, ensuring that the results obtained are accurate, reproducible, and free from random error. A reliable assessment instrument consistently yields similar results when administered under consistent conditions, allowing for trustworthy and meaningful interpretations.
There are several key facets of reliability in assessment:
1. **Test-Retest Reliability:** This aspect assesses the consistency of results when the same test is administered to the same group of individuals on two separate occasions. A highly reliable assessment will produce similar scores each time the test is taken, assuming that no significant changes have occurred in the participants' knowledge or abilities.
2. Internal Consistency Reliability: This dimension evaluates the degree of consistency among different items within the same test. High internal consistency indicates that all items are measuring the same underlying construct, providing a reliable overall score.
3. Inter-Rater Reliability: When assessments involve subjective judgment or scoring, inter-rater reliability ensures consistency among different raters or evaluators. It measures the agreement between different individuals scoring the same responses or performances.
4. Parallel Forms Reliability: This form of reliability involves the use of two different but equivalent versions of a test to assess consistency in measurement. If both forms yield similar results, it suggests that the assessment is reliable across different sets of items.
Reliability is fundamental for drawing meaningful conclusions from assessments, as it ensures that the obtained scores accurately reflect the participants' true abilities or characteristics rather than random fluctuations or errors. A reliable assessment provides a solid foundation for decision-making in various fields, including education, psychology, employment, and healthcare. Researchers, educators, and practitioners prioritize reliability to enhance the validity and credibility of assessment outcomes, ultimately leading to more informed and accurate evaluations.
Reliability refers to the consistency of test scores. There are three main types of reliability: stability, equivalence, and homogeneity. Stability measures consistency over time, equivalence uses alternative versions of a test, and homogeneity examines internal consistency. Factors like data collection methods, time intervals, and test administration can influence reliability. To improve reliability, tests should have clear, unambiguous questions and objective scoring. Rater reliability specifically measures consistency between raters or judges.
The document discusses the concepts of reliability, validity, and utility in research. It defines reliability as providing consistent results, validity as measuring what is intended, and utility as being practical to implement. The document then examines various methods for establishing reliability, such as test-retest reliability and internal consistency. It also explores different aspects of validity like content validity, criterion validity, and construct validity. Finally, it notes factors that determine the utility or practicality of a measurement tool, such as administration time and costs.
This document discusses various methods for measuring the reliability of assessment tools, including inter-rater reliability, test-retest reliability, parallel forms reliability, internal consistency reliability, and the split half method. Inter-rater reliability assesses consistency between raters, while test-retest reliability examines consistency over time. Parallel forms reliability looks for similar results between variations of a test. Internal consistency reliability uses Cronbach's alpha to measure item consistency, and the split half method correlates scores between halves of a test.
Topic: What is Reliability and its Types?
Student Name: Kanwal Naz
Class: B.Ed 1.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
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People who choose to be bold are inspiring not just because they accomplish big things but also because they instigate growth, progress, and movement for themselves and others around them.
Being highly sensitive is an invaluable trait that comes with many advantages. HSPs are highly observant, intuitive, thoughtful, compassionate, 😇 empathetic, conscientious, loyal, and 🤓 creative.
Managers consistently rate people with higher sensitivity as their pinnacle contributors.
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The Rules Do Apply: Navigating HR ComplianceAggregage
https://www.humanresourcestoday.com/frs/26903483/the-rules-do-apply--navigating-hr-compliance
HR Compliance is like a giant game of whack-a-mole. Once you think your company is compliant with all policies and procedures documented and in place, there’s a new or amended law, regulation, or final rule that pops up landing you back at ‘start.’ There are shifts, interpretations, and balancing acts to understanding compliance changes. Keeping up is not easy and it’s very time consuming.
This is a particular pain point for small HR departments, or HR departments of 1, that lack compliance teams and in-house labor attorneys. So, what do you do?
The goal of this webinar is to make you smarter in knowing what you should be focused on and the questions you should be asking. It will also provide you with resources for making compliance more manageable.
Objectives:
• Understand the regulatory landscape, including labor laws at the local, state, and federal levels
• Best practices for developing, implementing, and maintaining effective compliance programs
• Resources and strategies for staying informed about changes to labor laws, regulations, and compliance requirements
1. How Reliable Are
How Reliable Are
Psychometric
Psychometric
Assessments?
Assessments?
2. This form of reliability
is used to judge the
consistency of results
across items on the
same test.
#1. Internal Consistency Reliability
#1. Internal Consistency Reliability
3. #2.
#2. Parallel Forms Reliability
Parallel Forms Reliability
This uses one set of
questions divided into
two equivalent sets
(“forms”), where both
sets contain questions
that measure the same
construct, knowledge
or skill.
4. This uses two test
takers to mark or rate
the scores of a
psychometric test. This
ensures homogeneity of
the test across a diverse
group of test takers.
#3. Inter-Rater Reliability
#3. Inter-Rater Reliability
5. This is measured by
administering a test
(complete test unlike
the previous type)
twice at two different
points in time.
#4. Test-Retest Reliability
#4. Test-Retest Reliability
6. Scan / Tap
Scan / Tap
To know how psychometric
To know how psychometric
assessments work for recruitment
assessments work for recruitment
purpose.
purpose.