Validation of the Child Behavior Rating Scale (CBRS) using multilevel factor analysis.
Wei Teng Chan1, Rebecca Bull2, Ee Lynn Ng1
1Centre for Research in Child Development, National Institute of Education, Nanyang Technological University.
Psychological Assessment
|October 21, 2021
Summary
Teacher ratings of children's behavior reveal distinct skills at individual and classroom levels. This study used multilevel modeling to analyze the Child Behavior Rating Scale (CBRS) in preschool settings.
Area of Science:
- Child development psychology
- Educational psychology
- Psychometrics
Background:
- Behavioral regulation is crucial for children's cognitive, emotional, and social development in educational settings.
- Teacher ratings are common but prone to response bias, necessitating multilevel analysis to distinguish child-level from teacher-level variance.
- Multilevel modeling is essential for psychometric assessment, separating within- and between-teacher effects on student behavior.
Purpose of the Study:
- To investigate the factor structure of the Child Behavior Rating Scale (CBRS) at both within- (child) and between- (teacher/classroom) levels.
- To determine if the factor structure of behavioral regulation differs across these levels.
- To identify distinct interpersonal skills within the CBRS at different analytical levels.
Main Methods:
- Utilized multilevel exploratory and confirmatory factor analyses on teacher ratings from a longitudinal study of 1,375 preschool children in Singapore.
- Data collected at three time points, with children averaging 58.5, 69.8, and 80.9 months of age.
- Employed multilevel modeling to disaggregate variance attributable to individual children versus teachers/classrooms.
Main Results:
- A three-factor model best fit the within-level data, identifying basic interpersonal skills, advanced interpersonal skills, and learning-related social skills.
- A two-factor model was optimal for the between-level data, potentially reflecting teacher and classroom characteristics.
- Both models demonstrated good internal consistency and differential correlates, supporting distinct factor structures.
Conclusions:
- The Child Behavior Rating Scale (CBRS) exhibits differential factor structures at the within- and between-teacher levels.
- Empirical support for two distinct types of interpersonal skills was found.
- Further research is recommended to explore the sources of variability at the between-level.
Related Concept Videos
Factorial Design
13.4K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.4K
Two-Way ANOVA
2.8K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.8K
Ratio Level of Measurement
19.5K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
19.5K
Friedman Two-way Analysis of Variance by Ranks
332
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
332
One-Way ANOVA: Unequal Sample Sizes
6.0K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
6.0K
Reliability and Validity
13.3K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.3K


