Growth Curve
Growth curve analysis refers to the procedures for describing change of an attribute over time and testing related hypotheses. Population growth curve traditionally consists of a graphical display of physical growth (e.g., height and weight) and is typically used by pediatricians to determine whether a specific child seems to be developing as expected. As a research method, the growth curve is particularly useful to analyze and understand longitudinal data. It allows researchers to describe processes that unfold gradually over time for each individual, as well as the differences across individuals, and to systematically relate these differences against theoretically important time-invariant and time-varying covariates. This entry discusses the use of growth curves in research and two approaches for studying growth curves.
Looks like you do not have access to this content.
Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
Research Methods
