BOOKS - What is Quantitative Longitudinal Data Analysis? (The ‘What is?' Resear...
What is Quantitative Longitudinal Data Analysis? (The ‘What is?
3 TON

Views
9367

Telegram
 
What is Quantitative Longitudinal Data Analysis? (The ‘What is?' Research Methods Series)
Author: Vernon Gayle
Year: June 5, 2014
Format: PDF
File size: PDF 5.8 MB
Language: English



Pay with Telegram STARS
Long Description of Quantitative Longitudinal Data Analysis Book What is Quantitative Longitudinal Data Analysis? This book is part of the Research Methods Series, which focuses on providing readers with practical and up-to-date information on influential approaches to analyzing longitudinal data in the social sciences. The book begins by defining key terms and explaining the advantages of using a longitudinal design, followed by an overview of the main analytical techniques and their statistical properties. It is intended for postgraduates and researchers across various social science disciplines who are considering using longitudinal data in their research, as well as undergraduate and postgraduate courses on advanced quantitative methods. The need to study and understand the process of technological evolution is crucial for humanity's survival. As technology advances at an unprecedented rate, it is essential to comprehend the impact of these developments on society. Quantitative longitudinal data analysis provides a powerful tool for examining the long-term effects of technological changes on individuals, communities, and societies.
Long Description of Quantitative Longitudinal Data Analysis Book Что такое количественный продольный анализ данных? Эта книга является частью серии «Методы исследования», которая посвящена предоставлению читателям практической и актуальной информации о влиятельных подходах к анализу продольных данных в социальных науках. Книга начинается с определения ключевых терминов и объяснения преимуществ использования продольного дизайна, после чего следует обзор основных аналитических методик и их статистических свойств. Он предназначен для аспирантов и исследователей по различным дисциплинам социальных наук, которые рассматривают возможность использования продольных данных в своих исследованиях, а также для бакалавриата и аспирантуры по передовым количественным методам. Необходимость изучения и понимания процесса технологической эволюции имеет решающее значение для выживания человечества. Поскольку технологии развиваются беспрецедентными темпами, важно понимать влияние этих событий на общество. Количественный продольный анализ данных предоставляет мощный инструмент для изучения долгосрочных последствий технологических изменений для отдельных лиц, сообществ и обществ.
Longue Description de Quantitive Longitudinal Data Analysis Book Qu'est-ce qu'une analyse longitudinale quantitative de données ? Ce livre fait partie de la série « Méthodes de recherche », qui vise à fournir aux lecteurs des informations pratiques et pertinentes sur les approches influentes de l'analyse des données longitudinales en sciences sociales. livre commence par définir les termes clés et expliquer les avantages de l'utilisation de la conception longitudinale, puis un aperçu des principales méthodes analytiques et de leurs propriétés statistiques. Il s'adresse à des étudiants de troisième cycle et à des chercheurs de diverses disciplines des sciences sociales qui envisagent d'utiliser des données longitudinales dans leurs recherches, ainsi qu'à des étudiants de premier cycle et de troisième cycle en méthodes quantitatives avancées. La nécessité d'étudier et de comprendre le processus d'évolution technologique est essentielle à la survie de l'humanité. Comme la technologie évolue à un rythme sans précédent, il est important de comprendre l'impact de ces événements sur la société. L'analyse longitudinale quantitative des données fournit un outil puissant pour étudier les effets à long terme des changements technologiques sur les individus, les communautés et les sociétés.
Descripción larga del de Análisis de Datos Longitudinales Cuantitativos Qué es el análisis longitudinal cuantitativo de los datos? Este libro forma parte de la serie «Métodos de investigación», que trata de proporcionar a los lectores información práctica y actualizada sobre los enfoques influyentes para analizar los datos longitudinales en las ciencias sociales. libro comienza con la definición de los términos clave y la explicación de los beneficios del uso del diseño longitudinal, seguido de una revisión de las principales técnicas analíticas y sus propiedades estadísticas. Está dirigido a estudiantes de posgrado e investigadores de diferentes disciplinas de ciencias sociales que consideren el uso de datos longitudinales en sus investigaciones, así como para estudios de pregrado y posgrado en técnicas cuantitativas avanzadas. La necesidad de estudiar y comprender el proceso de evolución tecnológica es crucial para la supervivencia de la humanidad. A medida que la tecnología evoluciona a un ritmo sin precedentes, es importante comprender el impacto de estos acontecimientos en la sociedad. análisis longitudinal cuantitativo de datos proporciona una poderosa herramienta para estudiar los efectos a largo plazo del cambio tecnológico en las personas, comunidades y sociedades.
Long Descrizione of Quantity Longitudinale Data Analysis Book Cos'è l'analisi quantitativa dei dati? Questo libro fa parte della serie «Metodi di ricerca», che si occupa di fornire ai lettori informazioni pratiche e aggiornate su approcci influenti per l'analisi dei dati longitudinali nelle scienze sociali. Il libro inizia con la definizione dei termini chiave e la spiegazione dei vantaggi del design longitudinale, seguito da una panoramica delle principali metodologie analitiche e delle loro proprietà statistiche. È rivolto a laureati e ricercatori di diverse discipline di scienze sociali che stanno valutando la possibilità di utilizzare i dati longitudinali nella loro ricerca, e per laurea e corsi di laurea in procedure quantitative avanzate. La necessità di studiare e comprendere l'evoluzione tecnologica è fondamentale per la sopravvivenza dell'umanità. Poiché la tecnologia sta evolvendo a un ritmo senza precedenti, è importante comprendere l'impatto di questi eventi sulla società. L'analisi quantitativa dei dati fornisce un potente strumento per studiare gli effetti a lungo termine dei cambiamenti tecnologici su individui, comunità e società.
Long Description of Quantitative Longitudinal Data Analysis Book Was ist quantitative longitudinale Datenanalyse? Dieses Buch ist Teil der Reihe „Research Methods“, die sich darauf konzentriert, den sern praktische und relevante Informationen über einflussreiche Ansätze zur Analyse von Längsschnittdaten in den Sozialwissenschaften zur Verfügung zu stellen. Das Buch beginnt mit der Definition der Schlüsselbegriffe und erklärt die Vorteile der Verwendung von Längsschnittdesign, gefolgt von einem Überblick über die wichtigsten analytischen Techniken und ihre statistischen Eigenschaften. Es richtet sich an Doktoranden und Forscher in verschiedenen Disziplinen der Sozialwissenschaften, die die Verwendung von Längsschnittdaten in ihrer Forschung in Betracht ziehen, sowie an Bachelor- und Postgraduiertenstudiengänge in fortgeschrittenen quantitativen Methoden. Die Notwendigkeit, den Prozess der technologischen Evolution zu studieren und zu verstehen, ist für das Überleben der Menschheit von entscheidender Bedeutung. Da sich die Technologie in einem beispiellosen Tempo entwickelt, ist es wichtig, die Auswirkungen dieser Entwicklungen auf die Gesellschaft zu verstehen. Die quantitative Längsschnittanalyse von Daten bietet ein leistungsfähiges Werkzeug, um die langfristigen Auswirkungen des technologischen Wandels auf Einzelpersonen, Gemeinschaften und Gesellschaften zu untersuchen.
''
Kantitatif Boylamsal Veri Analizi Kitabının Uzun Tanımı Kantitatif Boylamsal Veri Analizi Nedir? Bu kitap, okuyuculara sosyal bilimlerde uzunlamasına veri analizine etkili yaklaşımlar hakkında pratik ve ilgili bilgiler sağlamaya adanmış Araştırma Yöntemleri serisinin bir parçasıdır. Kitap, temel terimleri tanımlayarak ve uzunlamasına bir tasarım kullanmanın faydalarını açıklayarak başlar, ardından ana analitik tekniklere ve bunların istatistiksel özelliklerine genel bir bakış izler. Araştırmalarında uzunlamasına verilerin kullanımını düşünen çeşitli sosyal bilimler disiplinlerindeki lisansüstü öğrencilere ve araştırmacılara ve ileri kantitatif yöntemlerde lisans ve lisansüstü çalışmalara yöneliktir. Teknolojik evrim sürecini inceleme ve anlama ihtiyacı, insanlığın hayatta kalması için çok önemlidir. Teknoloji benzeri görülmemiş bir hızda ilerledikçe, bu olayların toplumsal etkisini anlamak önemlidir. Nicel uzunlamasına veri analizi, teknolojik değişimin bireyler, topluluklar ve toplumlar üzerindeki uzun vadeli etkilerini incelemek için güçlü bir araç sağlar.
وصف طويل لكتاب تحليل البيانات الكمي الطولي ما هو تحليل البيانات الكمي الطولي ؟ هذا الكتاب هو جزء من سلسلة طرق البحث، والتي مكرسة لتزويد القراء بمعلومات عملية وذات صلة حول الأساليب المؤثرة لتحليل البيانات الطولية في العلوم الاجتماعية. يبدأ الكتاب بتحديد المصطلحات الرئيسية وشرح فوائد استخدام التصميم الطولي، يليه نظرة عامة على التقنيات التحليلية الرئيسية وخصائصها الإحصائية. وهو مخصص لطلاب الدراسات العليا والباحثين في مختلف تخصصات العلوم الاجتماعية الذين يفكرون في استخدام البيانات الطولية في أبحاثهم، وللدراسات الجامعية والدراسات العليا في الأساليب الكمية المتقدمة. إن الحاجة إلى دراسة وفهم عملية التطور التكنولوجي أمر بالغ الأهمية لبقاء البشرية. مع تقدم التكنولوجيا بمعدل غير مسبوق، من المهم فهم التأثير المجتمعي لهذه الأحداث. يوفر التحليل الكمي للبيانات الطولية أداة قوية لدراسة الآثار طويلة المدى للتغير التكنولوجي على الأفراد والمجتمعات والمجتمعات.

You may also be interested in:

Applied Natural Language Processing with PyTorch 2.0 Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0
Intelligent Communication Technologies and Virtual Mobile Networks: Proceedings of ICICV 2023 (Lecture Notes on Data Engineering and Communications Technologies Book 171)
Palpable Python beat it in 7 days Learn it fast, Use it more Effective Step by Step Practical Programming for Newbies, Introduction Encoding functions Data Science
Spatial Data and Intelligence: 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings (Lecture Notes in Computer Science)
Smart Data: Systematik zur Analyse von Informationen in Planung, Bau und Betrieb von Immobilien (Schriftenreihe Bauokonomie, 6) (German Edition)
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
Learning AI Tools in Tableau Level Up Your Data Analytics and Visualization Capabilities with Tableau Pulse and Tableau Agent
Programming 3 Manuscripts Python Crash Course, Python Machine Learning and Python Data Science for Beginners
Introduction to Programming with Golang Learn programming, data structures and algorithms using the Go programming language
Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP
Complex Analysis and Geometry: Proceedings of a Conference at The Ohio State University, June 3-6, 1999 (Ohio State University Mathematical Research Institute Publications, 9)
Computer Programming Crash Course 7 Books in 1- Coding Languages for Beginners C++, C#, SQL, Python, Data Science for Python, Raspberry pi and Arduino. Teach Yourself to Code. Learn Faster
Mastering Java An Effective Project Based Approach including Web Development, Data Structures, GUI Programming and Object Oriented Programming (Beginner to Advanced)
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Recent Developments in Algebra and Analysis: International Conference on Recent Developments in Mathematics, Dubai, 2022 - Volume 1 (Trends in Mathematics)
Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) (Intelligent Data-Centric Systems)
PYTHON FOR BEGINNERS: A Complete Guide To Learn Programming, Data Science, Machine Learning And Coding Language Which Explain Step By Step Useful Tips And Tricks And Hands-On Exercises
Computational Data and Social Networks: 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings (Lecture Notes in Computer Science, 12575)
Hands-on iOS App Development Projects Turn Your Ideas into Actionable, Real-World iOS Apps with Swift, Xcode, UI Kit, Core Data, AWS and OAuth
Python programming for beginners 3 books in 1 Beginner|s guide, Data science and Machine learning. Switch from noobgramming to PROgramming in 27 days and bring out your code poet attitude
Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, … Notes in Computer Science Book 135
Building Winning Algorithmic Trading Systems: A Trader|s Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Machine Learning and Computational Intelligence Techniques for Data Engineering: Proceedings of the 4th International Conference MISP 2022, Volume 2 (Lecture Notes in Electrical Engineering Book 998)
IoT and Big Data Technologies for Health Care: Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, … and Telecommunications Engineering)
Archeofoss XIV 2020: Open Software, Hardware, Processes, Data and Formats in Archaeological Research: Proceedings of the 14th International Conference, 15-17 October 2020 (English and Italian Edition)
Python for Data Science A Practical Guide to Master Python Programming and System Administration. Discover The Essentials of Machine Learning and Artificial Intelligent Using Python Code
Trading Price Action Trading Ranges Technical Analysis of Price Charts Bar by Bar for the Serious Trader
Learn Python Programming Master Programming in Python Language and WORK in Data Science (from beginner to intermediate to advanced)
Python crash course A complete step by step beginner guide for python coding, NumPy, Pandas and Data Visualization
Hands-on Cloud Analytics with Microsoft Azure Stack Transform Your Data to Derive Powerful Insights Using Microsoft Azure
Deep Learning for Data Architects: Unleash the power of Python|s deep learning algorithms (English Edition)
Handbook of Research on Intelligent Data Processing and Information Security Systems (Advances in Information Security, Privacy, and Ethics)
Computer Programming 4 Books in 1 Data Science, Hacking with Kali Linux, Computer Networking for Beginners, Python Programming
Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Learn Enough Series)
Systems for Analytics, Data Science, & Artificial Intelligence Systems for Decision Support, 11th Edition, Global Edition
Python Programming A complete beginners guide on python machine learning, data science and tools (Computer Programming Book 1)
Python: 3 books in 1 : Python basics for Beginners + Python Automation Techniques And Web Scraping + Python For Data Science And Machine Learning
Spring Boot 3.0 Crash Course Mastering Spring Boot, from Application Development to Advanced Security, Data Access, Integration and Deployment
Spring Boot 3.0 Crash Course: Mastering Spring Boot, from Application Development to Advanced Security, Data Access, Integration and Deployment