Book contents
- Frontmatter
- Contents
- List of contributors
- Preface and acknowledgements
- Introduction: the what, how and why of developmental change: the emergence of a new paradigm
- 1 Mind, intelligence and development: a cognitive, differential and developmental theory of intelligence
- 2 Types of cognitive change: a dynamical, connectionist account
- 3 Developmental patterns in proportional reasoning
- 4 Building general knowledge and skill: cognition and microdevelopment in science learning
- 5 Cognitive change as strategy change
- 6 The emergence of mind in the emotional brain
- 7 Practices of quantification from a socio-cultural perspective
- 8 Contributions of central conceptual structure theory to education
- 9 Accelerating the development of general cognitive processing
- 10 Dealing with change: manifestations, measurements and methods
- 11 Dynamic modelling of cognitive development: time, situatedness and variability
- 12 Modelling individual differences in change through latent variable growth and mixture growth modelling: basic principles and empirical examples
- Index
- References
10 - Dealing with change: manifestations, measurements and methods
Published online by Cambridge University Press: 22 September 2009
- Frontmatter
- Contents
- List of contributors
- Preface and acknowledgements
- Introduction: the what, how and why of developmental change: the emergence of a new paradigm
- 1 Mind, intelligence and development: a cognitive, differential and developmental theory of intelligence
- 2 Types of cognitive change: a dynamical, connectionist account
- 3 Developmental patterns in proportional reasoning
- 4 Building general knowledge and skill: cognition and microdevelopment in science learning
- 5 Cognitive change as strategy change
- 6 The emergence of mind in the emotional brain
- 7 Practices of quantification from a socio-cultural perspective
- 8 Contributions of central conceptual structure theory to education
- 9 Accelerating the development of general cognitive processing
- 10 Dealing with change: manifestations, measurements and methods
- 11 Dynamic modelling of cognitive development: time, situatedness and variability
- 12 Modelling individual differences in change through latent variable growth and mixture growth modelling: basic principles and empirical examples
- Index
- References
Summary
The main purpose of this chapter is to discuss briefly major methodologies used for the analysis of change. Throughout the development and maturation of approaches to measuring change, different types of change have been recognized and different methods of quantifying change have been developed (e.g., Collins and Horn 1991; Harris 1963). There is a colloquial reference to so-called old and new approaches to measuring change. ‘Old’ approaches refer to such conventional indicators of change as the differences between measures in a given time point and a subsequent time point. ‘New’ approaches refer to ever more complex methodologies for describing and quantifying development, whether spontaneous or occurring in response to intervention.
Clearly, the amount of information on a subject studied by many outstanding scientists that can be introduced in a single chapter is limited. Moreover, a single chapter cannot compete with the comprehensive volumes that have recently been written on the same topic (e.g. Collins and Sayer 2001; Gottman 1995; Moskowitz and Hershberger 2002; von Eye and Niedermeier 1999). Therefore, the strategy selected in this chapter for material presentation is to introduce briefly selected methodological approaches, illustrate them with specific examples, and provide the reader with a wealth of relevant references.
We decided to illustrate various change-related methodologies by reviewing a limited content area – the field of studies related to acquisition, both natural and in response to targeted intervention, of oral and written language. Such a decision is not random, of course. The selection was driven by two considerations.
- Type
- Chapter
- Information
- Cognitive Developmental ChangeTheories, Models and Measurement, pp. 318 - 353Publisher: Cambridge University PressPrint publication year: 2005