논문상세정보
-
- 저자 신택수
- 제어번호 104583827
- 학술지명 人間發達硏究
- 권호사항 Vol. 21 No. 3 [ 2014 ]
- 발행처 한국인간발달학회
- 발행처 URL http://www.kahd.or.kr
- 자료유형 학술저널
- 수록면 1-28 ( 28쪽)
- 언어 Korean
- 출판년도 2014
- 등재정보 KCI등재
- 소장기관 영남대학교 중앙도서관 영남대학교 중앙도서관
- 판매처
유사주제 논문( 0)
인간발달연구에서의 종단자료 분석: 잠재성장모형을 중심으로
신택수
2014년
' 인간발달연구에서의 종단자료 분석: 잠재성장모형을 중심으로' 의 참고문헌
-
성장혼합모형을 활용한 청소년활동 참여 수준의 유형과 특성 분석
-
생애사 연구의 교육심리학적 고찰
-
비연속시간 사건사 분석을 위한 분할함수 모형화 방법의 제시 및 적용
-
군집분포의 형태와 표본의 크기가 성장혼합모형 분석 결과에 미치는 영향 분석: 몬테-카를로 시뮬레이션 연구
-
Using fractional polynomials to model nonlinear trends in longitudinal data
-
Unequally spaced longitudinal data with AR(1)serial correlation
-
Tuckerizing Curves
-
The statistical analysis of failure time data
-
The role of coding time in estimation and interpreting growth curve models
-
The impact of service characteristics on functional outcomes from community support programs for persons with schizophrenia : A growth curve analysis
-
The fundamentals of longitudinal research : An overview. Canadian studies in population
-
The application of various nonlinear models to describe academic growth trajectories: an empirical analysis using four-wave longitudinal achievement data from a large urban school district
-
The analysis of change
-
The Paradigm Dialog
-
Testing equating : Methods and practices
-
Statistical power to detect the correct number of classes in latent profile analysis
-
Statistical methods for survival data analysis(2nd ed)
-
Statistical Analysis with Missing Data
-
Some statistical methods for the comparison of growth curves
-
Small-sample robust estimators of noncentrality-based and incremental model fit
-
Small sample statistics for incomplete nonnormal data : Extensions of complete data formulae and a Monte Carlo comparison
-
Reading a central focus of no child left behind act
-
Put reading first : The research building blocks for teaching children to read. Kindergarten through grade 3
-
Organoleptic ratings and analytical data for wines and analyzed into orthogonal factors
-
On fitting nonlinear latent curve models to multiple variables measured longitudinally
-
Objections to Bayesian statistics
-
Nonlinear growth models in Mplus and SAS
-
New developments and techniques in structural equation modeling
-
Multivariate analysis: Future directions
-
Multilevel modeling: Methodological advances, issues, and applications
-
Multilevel covariance structure analysis
-
Mplus 7.2; User’s Guide (Seventh Edition) [statistical software package]
-
Modelling survival data in medical research. Texts in statistical science
-
Mixed-effects models in the study of individual differences with repeated measures data
-
Missing data : Our view of the state of the art
-
Mathematics in population biology
-
ML versus MI for missing data with violation of distribution conditions
-
Longitudinal associations between reading and mathematics achievement
-
Learning disabilities : Foundations, characteristics, and effective teaching(3rd ed.)
-
Learning and individual differences: Abilities, motivation and methodology
-
Latent variable modeling in heterogeneous populations
-
Latent curve models : A structure equation perspective
-
Latent curve analysis
-
Intelligence reframed : Multiple intelligences for the 21st Century
-
Four-year prospective analysis of adolescent girls: Eating disturbances and self-reported negative affectivity
-
Factor analysis forclustered observations
-
Exploring gains in reading and mathematics achievement among regular and exceptional students using growth curve modeling
-
Effects of missing data methods in structural equation modeling with nonnormal longitudinal data
-
Early vocabulary growth relationship to language input and gender
-
Early adult outcomes of adolescent binge drinking : Person-and variable-centered analyses of binge drinking trajectories
-
Does the content of mothers’ verbal stimulation explain differences in the children’s development of verbal and nonverbal cognitive skills?
-
Distributional assumptions of growth mixture models : Implications for overextraction of latent trajectory classes
-
Determining the number of latent classes in single-and multiphase growth mixture models
-
Determination of parameters of a functional relation by factor analysis
-
Deciding on the number of classes in latent class analysis and growth mixture modeling : A Monte Carlo simulation study
-
Data Analysis Using Regression and Multilevel/Hierarchical Models
-
Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives
-
Creativity: Flow and the psychology of discovery and invention
-
Covariance structure analysis with three level data
-
Conjoint developmental trajectories of young adult alcohol and tobacco use
-
Comparison of three growth modeling techniques in multilevel analysis of longitudinal academic achievement scores : Latent growth modeling, hierarchical linear modeling, and longitudinal profile via multidimensional scaling
-
Bayesian structural equation modeling : A more flexible representation of substantive theory
-
Bayesian data-model fit assessment for structural equation modeling
-
Applied missing data analysis
-
Analysis of Longitudinal Binary Outcomes using Marginal and Random Effect Models
-
Advances in longitudinal data analysis
-
A statistically justified pairwise ML method for incomplete nonnormal data : A comparison with direct ML and pairwise ADF
-
A longitudinal study of mathematical competencies in children with specific mathematics difficulties versus children with co-morbid mathematics and reading difficulties
-
A linear mixed-effects model with heterogeneity in the random-effects population