Cohort Study

Duration: 3 min

This video lesson is available to enrolled students.

Return to /learn/NTA-UGC-NET-PAPER-2/paper-1-unit-2-research-aptitude/research-paradigms-types-of-research/types-based-on-time-frame-longitudinal-cross-sectional-cohort/asset-cohort-study after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. Course Overview: About the Course
  2. Paper - 1 | Unit - 1 | Teaching Aptitude: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement
  3. Paper - 1 | Unit - 2 | Research Aptitude: Introduction to Research, Validity & Reliability, Research Paradigms & Types of Research, Research Process Steps, Research Ethics, Writing & Publication
  4. Paper - 1 | Unit - 3 | Comprehension: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions)
  5. Paper - 1 | Unit - 4 | Communication: Communication Basics, Language and Semiotics, Types of Communication, Communication Models, Mass Communication, Mass Media, Journalism, General Knowledge and General Studies related to Communication
  6. Paper - 1 | Unit - 5 | Mathematical Reasoning and Aptitude: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Number System, Percentage, Ratio and Proportion (Ratios), Simple Interest and Compound Interest, Speed Time and Distance, Powers and Exponents (Surds and Indices), Profit and Loss, Average, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Verbal Analogy (Word Based Analogy), Divisibility Rules, Calendar, Miscellaneous, Time and Work, Algebra
  7. Paper - 1 | Unit - 6 | Logical Reasoning: Syllogisms, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Venn Diagram, School Of Thoughts, Fallacy, Western Logic
  8. Paper - 1 | Unit - 7 | Data Interpretation: Data Interpretation
  9. Paper - 1 | Unit - 8 | Information and Communication Technology: MS Office Applications, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Electronic Data Interchange and E-Commerce, Internet Fundamentals, Web Design & Development, Web Publishing & Hosting, Emerging Technologies, Terms & Abbreviations, Artificial Intelligence, Society, Law & Ethics, Keyboard Shortcuts, Website, Browser & Services
  10. Paper - 1 | Unit - 9 | People Development and Environment: Ecosystem, Biomes & Environmental Issues, MDG & SDG, Air Pollution, Water Pollution, Soil, Noise Pollution and Waste Management, Natural Resources, Energy & Disaster Management, Global Environmental Conventions – COP, Protocols & ISA
  11. Paper - 1 | Unit - 10 | Higher Education System: Vedic Education, Jainism & Buddhism, Ancient Universities, Pre-Independence Commissions, Post-Independence Policy, Higher Education Structure & Accreditation, Universities & Learning Programmes, Types of Education & NEP 2020
  12. Paper 2 | Unit 1 | Discrete Structures and Optimization: Propositional and Predicate Logic, Set Theory, Relations, Functions, Permutation and Combination, Probability, Graph Theory, Group Theory, Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Optimization
  13. Paper 2 | Unit 2 | Computer System Architecture: Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Basics of COA, Register Transfer and Microoperations, Programming the Basic Computer, Instr Formats & Modes, Control Unit Design, Pipelining, Input Output Organisation, Cache Memory Organization, Multiprocessors
  14. Paper 2 | Unit 3 | Programming Languages and Computer Graphics: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, HTML Basics, XML, JavaScript-Basics, Java, Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, OOPS with C++, Java Fundamentals
  15. Paper 2 | Unit 4 | Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  16. Paper 2 | Unit 5 | System Software and Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  17. Paper 2 | Unit 6 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  18. Paper 2 | Unit 7 | Data Structures and Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  19. Paper 2 | Unit 8 | Theory of Computation and Compilers: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  20. Paper 2 | Unit 9 | Data Communication and Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cloud Computing
  21. Paper 2 | Unit 10 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  22. Live Classes: NTA UGC NET 2025 Live Class
  23. Paper 1 | Full Mock Tests:
  24. Paper 2 | Full Mock Tests:
  25. Paper 1 | Previous Year Papers:
  26. Paper 2 | Previous Year Papers:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is a lecture on research methodologies, specifically focusing on different types of studies used in academic research. The instructor, Nidhi Sharma, presents a slide from a presentation titled 'UGC NET PAPER 1 PYQs AND TYPES OF RESEARCH'. The lecture begins by defining a cohort study, explaining that it follows a group of people with a shared characteristic over time to observe outcomes, with an example of tracking individuals by age to study heart disease risk. It then defines a prospective study, where researchers observe participants over time to monitor specific outcomes, such as following factory workers exposed to chemicals to study long-term health effects. Finally, the lecture introduces a trend study, which analyzes changes in a population's characteristics or behaviors over time, using the evolution of technology use from personal computers to smartphones as an example. The visual content consists of a static slide with text, and the instructor's voiceover provides the explanations.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video displays a presentation slide with a white background and black text, detailing three types of research studies. The first section, titled 'Cohort Study' in green, defines it as following a group of people with a shared characteristic to observe outcomes, providing an example of tracking individuals by age to study heart disease risk. The second section, 'Prospective Study' in green, describes observing participants over time to monitor specific outcomes, with an example of following factory workers exposed to chemicals to study health effects. The third section, 'Trend Study' in green, explains that it analyzes changes in a population's characteristics or behaviors over time, using the evolution of technology use from personal computers to smartphones as an example. The slide is part of a presentation by Nidhi Sharma for UGC NET Paper 1, as indicated by the title and author's name at the top. The instructor's voiceover explains these definitions and examples, and a small video feed of the instructor is visible in the top right corner. The slide remains static throughout this segment, with the only change being the instructor's gestures and speech.

  2. 2:00 – 2:42 02:00-02:42

    The video continues to show the same static presentation slide, which is titled 'UGC NET PAPER 1 PYQs AND TYPES OF RESEARCH' and authored by Nidhi Sharma. The slide content remains unchanged, detailing the definitions of 'Cohort Study', 'Prospective Study', and 'Trend Study' with their respective examples. The instructor's voiceover continues to explain the concepts, with the visual focus remaining on the text. The instructor's video feed in the top right corner shows them speaking and gesturing, but the main content of the slide is the primary source of information. The slide is presented in a Microsoft PowerPoint interface, as indicated by the ribbon at the top of the screen. The overall scene is a static educational presentation with a focus on textual information and verbal explanation.

The lecture systematically introduces three key types of longitudinal research designs. It begins with the cohort study, which tracks a group defined by a common characteristic (like age) over time to observe outcomes. It then moves to the prospective study, which is a broader category where researchers observe participants over time to monitor specific outcomes, often to establish cause-and-effect relationships. Finally, it explains the trend study, which examines changes in a population's characteristics or behaviors over time, such as the adoption of new technologies. The progression from cohort to prospective to trend studies demonstrates a logical flow from specific group tracking to broader population-level analysis, all aimed at understanding how variables change and relate over time.

Loading lesson…