Matching method to problem: A developmental science perspective

Lars R. Bergman, A. Vargha

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In developmental research there is quite often a mismatch between the scientific problem and the methods used to address it. In this article we discuss what this mismatch is about and we suggest some remedies. Our discussion is confined to typical matching situations that arise within a developmental science (DS) theoretical framework. A number of measurement issues are brought up including variable standardization and how to measure change. It is argued that to study individual development precise measurements are necessary and that, for this purpose, most measures currently used in developmental research are not sufficiently reliable. Further, we discuss the choice of a statistical method suitable for analysis within a DS framework and it is concluded that increased use should be made of person-oriented methods and methods developed for studying nonlinear dynamic systems. Finally, causality issues are discussed and a distinction is made between the study of average and individual causality.

Original languageEnglish
Pages (from-to)9-28
Number of pages20
JournalEuropean Journal of Developmental Psychology
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2013

Fingerprint

Causality
Nonlinear Dynamics
Research

Keywords

  • Developmental science
  • Individual development
  • Measurement
  • Statistical methods

ASJC Scopus subject areas

  • Developmental and Educational Psychology
  • Social Psychology

Cite this

Matching method to problem : A developmental science perspective. / Bergman, Lars R.; Vargha, A.

In: European Journal of Developmental Psychology, Vol. 10, No. 1, 01.2013, p. 9-28.

Research output: Contribution to journalArticle

@article{046ee6e3e36740dd9e72c0f98655d425,
title = "Matching method to problem: A developmental science perspective",
abstract = "In developmental research there is quite often a mismatch between the scientific problem and the methods used to address it. In this article we discuss what this mismatch is about and we suggest some remedies. Our discussion is confined to typical matching situations that arise within a developmental science (DS) theoretical framework. A number of measurement issues are brought up including variable standardization and how to measure change. It is argued that to study individual development precise measurements are necessary and that, for this purpose, most measures currently used in developmental research are not sufficiently reliable. Further, we discuss the choice of a statistical method suitable for analysis within a DS framework and it is concluded that increased use should be made of person-oriented methods and methods developed for studying nonlinear dynamic systems. Finally, causality issues are discussed and a distinction is made between the study of average and individual causality.",
keywords = "Developmental science, Individual development, Measurement, Statistical methods",
author = "Bergman, {Lars R.} and A. Vargha",
year = "2013",
month = "1",
doi = "10.1080/17405629.2012.732920",
language = "English",
volume = "10",
pages = "9--28",
journal = "European Journal of Developmental Psychology",
issn = "1740-5629",
publisher = "Psychology Press Ltd",
number = "1",

}

TY - JOUR

T1 - Matching method to problem

T2 - A developmental science perspective

AU - Bergman, Lars R.

AU - Vargha, A.

PY - 2013/1

Y1 - 2013/1

N2 - In developmental research there is quite often a mismatch between the scientific problem and the methods used to address it. In this article we discuss what this mismatch is about and we suggest some remedies. Our discussion is confined to typical matching situations that arise within a developmental science (DS) theoretical framework. A number of measurement issues are brought up including variable standardization and how to measure change. It is argued that to study individual development precise measurements are necessary and that, for this purpose, most measures currently used in developmental research are not sufficiently reliable. Further, we discuss the choice of a statistical method suitable for analysis within a DS framework and it is concluded that increased use should be made of person-oriented methods and methods developed for studying nonlinear dynamic systems. Finally, causality issues are discussed and a distinction is made between the study of average and individual causality.

AB - In developmental research there is quite often a mismatch between the scientific problem and the methods used to address it. In this article we discuss what this mismatch is about and we suggest some remedies. Our discussion is confined to typical matching situations that arise within a developmental science (DS) theoretical framework. A number of measurement issues are brought up including variable standardization and how to measure change. It is argued that to study individual development precise measurements are necessary and that, for this purpose, most measures currently used in developmental research are not sufficiently reliable. Further, we discuss the choice of a statistical method suitable for analysis within a DS framework and it is concluded that increased use should be made of person-oriented methods and methods developed for studying nonlinear dynamic systems. Finally, causality issues are discussed and a distinction is made between the study of average and individual causality.

KW - Developmental science

KW - Individual development

KW - Measurement

KW - Statistical methods

UR - http://www.scopus.com/inward/record.url?scp=84873118552&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873118552&partnerID=8YFLogxK

U2 - 10.1080/17405629.2012.732920

DO - 10.1080/17405629.2012.732920

M3 - Article

AN - SCOPUS:84873118552

VL - 10

SP - 9

EP - 28

JO - European Journal of Developmental Psychology

JF - European Journal of Developmental Psychology

SN - 1740-5629

IS - 1

ER -