Improving measurement in health education and health behavior research using
item response modeling: comparison with the classical test theory approach
Apart from the aim to be consistent with the approach used in earlier articles in this special issue [3, 4],
item response modeling differs from SEM in that (i) it models the actual response data rather than the covariance matrix among the variables, and hence, (ii) it allows a finer grain of interpretation and fit analysis.
An approach called generalizability in
item response modeling (GIRM) is introduced in this article.
His methodological research interests include item writing, reliability theory and multilevel
item response models, with a substantive interest in Latino youth development.
Ability signifies the severity of anxiety, depression, study problem and sociality problem, respectively, estimated from
the item response model; it ranges from − 3 to 3.
Not exact matches
The researchers gathered
responses from tens of thousands of volunteers who filled out a 100 -
item International Personality Item Pool (IPIP) Five - Factor Model personality questionnaire that measured the «Big Five» qualities psychologists have argued give a good sense of who a person is: openness, conscientiousness, extroversion, agreeableness, and neurotic
item International Personality
Item Pool (IPIP) Five - Factor Model personality questionnaire that measured the «Big Five» qualities psychologists have argued give a good sense of who a person is: openness, conscientiousness, extroversion, agreeableness, and neurotic
Item Pool (IPIP) Five - Factor
Model personality questionnaire that measured the «Big Five» qualities psychologists have argued give a good sense of who a person is: openness, conscientiousness, extroversion, agreeableness, and neuroticism.
They then developed a mathematical
model to help them study the dynamics of the media coverage: news
items, coverage duration and the
response of media to the number of cases.
We conducted a regression of the Principal Instructional Leadership measure on the principals «
responses to
items in the District Focus on Instruction scale, including building characteristics (size and level), student characteristics (% minority and % FRP) as control variables in the
model.
The Psychometric
Modeling of Ordered Multiple - choice
Item Responses for Diagnostic Assessment with a Learning Progression
Powerpoint Presentation at AERA 2017 Annual Meeting by NIEER Assistant Research Professor Zijia Li Summary Findings: The unidimensional
model provides a parsimonious and near precise solution for the dimensionality assessment of the 32 -
item Preschool OnlineCOR and the 8 -
item COR - ST The graded
response model showed better fit than the reduced graded
response model for the 32 -
item...
Our researchers have expertise in computer adaptive testing,
item response theory, covariance structure analysis, meta - analyses, hierarchical
modeling, causal analysis, computational statistics, and natural language processing (NLP).
Analyses using
Item Response Theory, employing the Rasch
model, confirmed that the instrument measured a unidimensional latent trait, culturally responsive pedagogy.
In addition, for the
models, your
item (b), the relationship between the equilibrium climate sensitivity (ECS) and the transient climate
response (TCR) is also quite linear.
Bill of Costs Bill of Costs (Tariff
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In the two - factor
model,
items were randomly assigned to 3 parcels within each of the Desire for Structure and the
Response to Lack of Structure subscales as displayed in Figure 1.
Afterward, confirmatory factor analyses using the 11
items of the PNS - J as indicators were performed to examine whether the two - factor
model — 4
items loaded on the Desire for Structure factor and the other 7
items loaded on the
Response to Lack of Structure factor — fits the data better than the one - factor
model.
Effects of Differential
Item Discriminations between Individual - Level and Cluster - Level under the Multilevel
Item Response Theory
Model
Psychometric methods,
item response theory, computerized adaptive testing, cognitive diagnosis, and semi-parametric
modeling
However, after revisions of the
response format and the order of
items on the MDI, the confirmatory factor analyses in Study 4 indicated excellent
model fit for all scales, including the self - concept scale.
IRT is a family of associated mathematical
models that relate latent traits (ability) to the probability of
responses to
items in an assessment, and it has been widely used in health assessment.37, 38 It describes a nonlinear relationship between binary, ordinal or categorical
responses and the latent trait (mental / behavioural problems in this study).
Item performance was assessed by the two - parameter polytomous item response theory (IRT) mod
Item performance was assessed by the two - parameter polytomous
item response theory (IRT) mod
item response theory (IRT)
models.
The Rasch
model was used to determine the
item difficulty and
response pattern of the respondents on the current sample.
It is an
item response theory
model which helps to make a linear interval scale, to fit the
model.
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation
modeling, confirmatory factor analysis and MIMIC approaches to measurement, path
modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear
models (including growth curve
modeling), latent transition analysis, mixture
modeling,
item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).
It is an
item response theory
model which helps to describe the required scaling properties of linear interval measurement and the
response pattern observed in the data corresponds to the theoretical pattern expected by the
model (Embretson & Reise, 2000; Tennant & Conaghan, 2007).
The fit of a Rasch - family Graded
Response Model with constrained discrimination parameters was confirmed for both factors, and no differential
item functioning was noted for age or sex of the child.
The best of both worlds: Factor analysis of dichotomous data using
item response theory and structural equation
modeling