Longitudinal Research with Latent Variables - Image 1

£73.84

Springer Longitudinal Research with Latent Variables

Name: Longitudinal Research with Latent Variables
Brand: Springer
Price: 73.84 GBP
Availability: InStock

Applied Mathematics

This is the usual price. Wait for it to drop, or tell us your number.

£74 today · usual range £0–£0 · best ever £58

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 638 days • 638 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 638 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £62-67 (261 days, 40.9%)

Price range: £58 - £80

Price levels: 5 price ranges over 638 days

Description

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ¨ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason. Review From the reviews:“In this volume the 19 contributors presents 9 papers which combine longitudinal and latent variable research. … The book addresses the great majority of researchers in the behavioural and related sciences, in academic as well as non-academic environments. It also addresses methodologists and statisticians, who are professionally dealing with longitudinal research, to provide standards for state of the art practices, and is very useful for PhD students in mathematical statistics or in biostatistics.” (T. Postelnicu, Zentralblatt MATH, Vol. 1210, 2011) From the Back Cover This book combines longitudinal research and latent variable research, i.e. it explains how longitudinal studies with objectives formulated in terms of latent variables should be carried out, with an emphasis on detailing how the methods are applied. Because longitudinal research with latent variables currently utilizes different approaches with different histories, different types of research questions, and different computer programs to perform the analysis, the book is divided into nine chapters. Starting from (a) some background information about the specific approach (a short history and the main publications), each chapter then (b) describes the type of research questions the approach is able to answer, (c) provides statistical and mathematical explanations of the models used in the data analysis, (d) discusses the input and output of the programs used, and (e) provides one or more examples with typical data sets, allowing the readers to apply the programs themselves.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3642117597
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 25 May 2010
Listed Since: 31 December 2009

Barcode

No barcode data available

Springer Longitudinal Research with Latent Variables

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Longitudinal Research with Latent Variables

Latent Variable Modeling with R - Routledge Statistical Guide

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models (Chapman & Hall/CRC Interdisciplinary Statistics)

Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Routledge - Latent Variable Modeling Using R Guide

Linear Mixed Models: A Practical Guide Using Statistical Software

Handbook of Advanced Multilevel Analysis (European Association of Methodology Series)

An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches (Quantitative Methodology Series)

Sage Handbook of Quantitative Methods in Psychology - Book

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches (Quantitative Methodology Series)

Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition (Wiley Series in Probability and Statistics)

Measurement Error in Longitudinal Data

The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications Series)

Multilevel Modeling Methods with Introductory and Advanced Applications (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)

Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide (Multivariate Applications Series)

Longitudinal Data Analysis (Wiley Series in Probability and Statistics)

Routledge - Current Topics in Latent Variable Models Book

An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition (Quantitative Methodology Series)

Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

Multilevel Modeling of Categorical Outcomes Using IBM SPSS (Quantitative Methodology Series)

Routledge - An Introduction to Applied Multivariate Analysis