Item Analysis in test construction

Master the critical concept of Item Analysis in psychological testing with this in-depth lecture! 📝 Perfect for UGC NET Psychology (Unit 3) aspirants and students of Psychometrics, this video breaks down the two main components essential for constructing a reliable and valid test.
​What you will learn:
​What is Item Analysis and why it's crucial for improving test quality and ensuring fairness.
​Item Difficulty Analysis (P): Learn the formula (Correct Answers / Total Population), how to calculate the Difficulty Index, and how to interpret the range (0 to 1) for easy, moderate, and difficult items.
​Item Discrimination Analysis (d): Understand how to measure an item's ability to separate high-scoring students from low-scoring students. We cover the range (-1 to +1), the formula for the Discrimination Index, and the different statistical methods used to check discrimination (Chi-square, T-test, Point-biserial, Phi Coefficient).
​A frequently asked question in exams: For which difficulty value is there the best discrimination?
​Don't forget to Like, Share, and Subscribe to Learn Psychology With Neha for more detailed videos on the UGC NET Psychology syllabus!

​[00:01] Introduction & Context (UGC NET Psychology Unit 3)
​[01:06] What is Item Analysis? (Improving Test Quality)
​[01:50] Two Main Components of Item Analysis
​[02:09] Component 1: Item Difficulty Analysis (Capital P)
​[02:25] Range and Interpretation of Item Difficulty (0 to 1)
​[03:19] Item Difficulty Index Formula and Example
​[04:36] Interpreting Difficulty Index Values (Easy, Moderate, Difficult)
​[05:07] Component 2: Item Discrimination Analysis (Small d)
​[05:21] Range and Bad Items (-1 to +1)
​[05:32] Methods to Check Item Discrimination (Chi-square, T-test, etc.)
​[06:34] Understanding Item Discrimination with an Analogy
​[07:22] Setting up High & Low Scoring Groups (The 27% Rule)
​[08:52] Item Discrimination Index Formula and Example
​[09:58] Interpreting Discrimination Index Values (Excellent, Poor, Flawed)
​[10:26] Summary: The Goal of Item Analysis
​[11:13] Key Repeated Question: Best Discrimination Value

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