Active Variables
Duration: 1 min
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Inside: a video lesson and guided study material.
Module outline
- Paper-I | Mathematical Abilities: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Number System, Speed Time and Distance, Arithmetic, Percentage, Average, Simple Interest and Compound Interest, Profit and Loss, Partnership, Time and Work, Algebra, Mensuration and Geometry, Trigonometry, Linear Algebra
- Paper-I | Reasoning & General Intelligence: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Crypt Arithmetic, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence, Clerical Aptitude, Verbal Classification
- Paper-I | English Language & Comprehension: Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Pronoun, Preposition, Articles, Direct and Indirect Speech, Conjunction, Modals, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Sentence Construction, Active Passive Voice (Voice), Determiner, Facts, Inference and Judgements
- Paper-I | General Awareness: Polity, Physics, Biology, Chemistry, Environment, GK- Current Affairs, Static General Knowledge, History, Geography, Indian Economy
- Paper-I | Computer Knowledge/Proficiency): Basics of COA, Transport Layer Services, Keyboard Shortcuts, MS Office Applications, MS Office by Yash Sir, Emerging Tech Trends, Society, Law & Ethics, Website, Browser & Services, Internet Fundamentals, Web Design & Development, Introduction to CN, Hardware basics, Network Security, Application Layer, Cyber and Info Security, Cyber Threats and Malware Attacks, Cyber Safety and Security, Role of Internet and Web Services, Security in Mobile and Wireless Computing
- Paper-II | Statistics: Statistics, Probability, Research Process Steps
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
The video presents a lecture on research methodology, focusing on two key types of variables. It begins by defining qualitative variables as characteristics that can be observed but not measured with numbers, using marital status (married, single, divorced, widowed) as a primary example. The lecture then transitions to active variables, which are factors intentionally manipulated by the researcher to observe their effects on other variables. The text on screen explicitly states that active variables are typically the independent variables (IVs) in a study, and the instructor provides an example of teaching methods as an active variable used to test their impact on student achievement. The overall progression is from defining a variable type to explaining its role in establishing cause-and-effect relationships in research.
Chapters
0:00 – 0:35 00:00-00:35
The video displays a slide with text defining two types of variables. The first section, labeled '2. Qualitative Variables', defines them as observable characteristics that cannot be measured with numbers, using 'marital status' as an example with categories like 'married', 'single', 'divorced', or 'widowed'. The second section, labeled '1. Active Variables', defines them as factors intentionally manipulated by the researcher to observe their effects on other variables, stating they are typically the independent variables (IVs) and are used to test their impact on the dependent variable (DV) or outcome. An example given is 'teaching method' as an active variable in a study on student achievement. The text on screen explicitly states that active variables are used to 'establish cause-and-effect relationships'.
The lecture systematically introduces two fundamental concepts in research design. It first establishes the nature of qualitative variables, which are categorical and descriptive, using marital status as a clear, relatable example. It then builds upon this by introducing active variables, which are the tools researchers use to conduct experiments. The key insight is that active variables are not just observed but are deliberately controlled and changed by the researcher to test a hypothesis, thereby allowing for the investigation of cause-and-effect relationships, which is a cornerstone of scientific inquiry.