PowerPoint Presentation Instructions Reliability and Validity For this assignment, you are being asked to create a PowerPoint presentation that reviews and illustrates the concepts of reliability and...

Reliability and Validity        4
RELIABILITY AND VALIDITY
Table of Contents
Internal Versus External Validity    3
Validity and Operational Definition    3
Statistical Validity and Margin of Error of the Estimate    4
Face Validity Versus Content Validity    4
Criterion Validity and Behavior    5
Convergent Versus Discriminant Validity    6
Test-retest Reliability    7
Interrater Reliability and Observational Research    7
Two Uses of Internal Reliability    8
The Kinds of Conclusions That Can Be Derived from Surveys, or Correlational and Experimental Studies    8
References    10
Internal Versus External Validity
How much examination shows a solid circumstances and logical results interface between a treatment and an outcome is known as internal validity. Inner legitimacy additionally alludes to the capacity of examination to preclude different explanations behind an outcome. The expression external validity identifies with how adequately an examination's discoveries might be expected to apply in different circumstances. All in all, the generalizability of the discoveries is dictated by this kind of legitimacy (Morling, 2017). Are the discoveries relevant to various people, areas, conditions, or periods, for instance? The expression "biological legitimacy," which is a subset of "outside legitimacy," alludes to the capacity of an investigation's discoveries to be utilized in the genuine world.
Validity and Operational Definition
    Kelly (1927) coined the term "validity," stating that a test is valid if it measures what it promises to measure. There is a difference between internal and external validity. These forms of validity are important when assessing the reliability of a study or technique (Morling, 2017).
When it comes to data collecting, an operational definition is a precise, succinct, and thorough explanation of a metric. When collecting any sort of data, the requirement for operational definitions is critical. It is especially crucial when deciding if something is proper or incorrect, or when performing a visual inspection when there is a chance of misunderstanding. When it comes to data collection, it is critical that everyone in the system is on the same page and gathers data in the same way. As a result, operational definitions should be established before data collecting begins.
Statistical Validity and Margin of Error of the Estimate
How much the discoveries got from a factual test are right and reliable is known as statistical validity. Scientists should have an adequate example measure and pick the fitting factual test to inspect the information to achieve factual legitimacy (Morling, 2017).
    In measurements, the room for give and take alludes to the level of error in the discoveries of irregular example reviews. A more prominent wiggle room in insights proposes a lesser shot at depending on the aftereffects of an overview or survey to mirror a populace, i.e., the trust in the outcomes will be lower. It is a critical tool in market research because it indicates the amount of trust that researchers should have in survey results.
Face Validity Versus Content Validity
Face validity assesses how suitable a test's material appears to be on a superficial level (Morling, 2017). Face legitimacy is tantamount to content legitimacy, yet it is a more relaxed and abstract assessment. Face legitimacy is normally viewed as the most unfortunate sort of legitimacy since it is an emotional appraisal. It can, be that as it may, be advantageous in the beginning stages of making a method. Face legitimacy alludes to how well a test apparently covers the thought it...