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Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
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Nguyen, Trang Quynh; Stuart, Elizabeth A. – Journal of Educational and Behavioral Statistics, 2020
We address measurement error bias in propensity score (PS) analysis due to covariates that are latent variables. In the setting where latent covariate X is measured via multiple error-prone items W, PS analysis using several proxies for X--the W items themselves, a summary score (mean/sum of the items), or the conventional factor score (i.e.,…
Descriptors: Error of Measurement, Statistical Bias, Error Correction, Probability
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Cai, Tianji; Xia, Yiwei; Zhou, Yisu – Sociological Methods & Research, 2021
Analysts of discrete data often face the challenge of managing the tendency of inflation on certain values. When treated improperly, such phenomenon may lead to biased estimates and incorrect inferences. This study extends the existing literature on single-value inflated models and develops a general framework to handle variables with more than…
Descriptors: Statistical Distributions, Probability, Statistical Analysis, Statistical Bias
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Kupzyk, Kevin A.; Beal, Sarah J. – Journal of Early Adolescence, 2017
In order to investigate causality in situations where random assignment is not possible, propensity scores can be used in regression adjustment, stratification, inverse-probability treatment weighting, or matching. The basic concepts behind propensity scores have been extensively described. When data are longitudinal or missing, the estimation and…
Descriptors: Probability, Longitudinal Studies, Data, Computation
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Kovalchik, Stephanie A.; Martino, Steven C.; Collins, Rebecca L.; Shadel, William G.; D'Amico, Elizabeth J.; Becker, Kirsten – Journal of Educational and Behavioral Statistics, 2018
Ecological momentary assessment (EMA) is a popular assessment method in psychology that aims to capture events, emotions, and cognitions in real time, usually repeatedly throughout the day. Because EMA typically involves more intensive monitoring than traditional assessment methods, missing data are commonly an issue and this missingness may bias…
Descriptors: Probability, Statistical Bias, Holistic Approach, Evaluation Methods
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Akhmetzyanova, Anna I. – International Journal of Environmental and Science Education, 2016
The relevance of this problem is related to the urgent need to explain peculiarities of anticipation and probabilistic forecasting in adolescence. It has revealed a contradiction: on the one hand, the problem of anticipation in ontogenesis is well developed, and, on the other hand, there remain understudied mechanisms of anticipation in…
Descriptors: Probability, Prediction, Adolescents, Foreign Countries
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Santana Vega, Lidia E.; González-Morales, Olga; Feliciano García, Luis – Journal of New Approaches in Educational Research, 2016
This work studied the entrepreneurial aspirations of 3,987 adolescents regarding self-employment and the influence of gender, age, nationality, type of school, location of the school, educational level and performance. The Logit model is used to analyze the data. The results indicate that the pupils' aspirations to be self-employed increase in the…
Descriptors: Entrepreneurship, Adolescents, Foreign Countries, Academic Achievement
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Wells, Kevin Eugene; Morgan, Grant; Worrell, Frank C.; Sumnall, Harry; McKay, Michael Thomas – International Journal of Behavioral Development, 2018
The goal of the present study is to examine the stability of time attitudes profiles across a one-year period as well as the association between time attitudes profiles and several variables. These variables include attitudes towards alcohol, context of alcohol use, consumption of a full drink, and subjective life expectancy. We assessed the…
Descriptors: Time, Attitude Measures, Drinking, Context Effect
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Blumberg, Stephen J.; Zablotsky, Benjamin; Avila, Rosa M.; Colpe, Lisa J.; Pringle, Beverly A.; Kogan, Michael D. – Autism: The International Journal of Research and Practice, 2016
Autism spectrum disorder diagnoses sometimes change due to misdiagnosis, maturation, or treatment. This study uses a probability-based national survey--the Survey of Pathways to Diagnosis and Services--to compare currently diagnosed (n = 1,420) and previously diagnosed (n = 187) children aged 6-17 years based on retrospective parental reports of…
Descriptors: Children, Autism, Pervasive Developmental Disorders, National Surveys
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Pfannkuch, Maxine; Arnold, Pip; Wild, Chris J. – Educational Studies in Mathematics, 2015
Currently, instruction pays little attention to the development of students' sampling variability reasoning in relation to statistical inference. In this paper, we briefly discuss the especially designed sampling variability learning experiences students aged about 15 engaged in as part of a research project. We examine assessment and…
Descriptors: Statistical Inference, Statistical Analysis, Sampling, Interviews
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Romero, Andrea; Bauman, Sheri; Ritter, Marissa; Anand, Payal – Journal of School Violence, 2017
Guided by the interpersonal theory of suicide, this study examines the associations between gun carrying, bullying, and suicidal behaviors among high school students. Arizona Youth Risk Behavior Surveys were completed by 2,677 students in 2011; 9.0% reported suicide attempt in the past year, 5.5% carried a gun in the past 30 days, 8.5% were…
Descriptors: High School Students, Suicide, Weapons, Bullying
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Beal, Sarah J.; Kupzyk, Kevin A. – Journal of Early Adolescence, 2014
The use of propensity scores as a method to promote causality in studies that cannot use random assignment has increased dramatically since its original publication in 1983. While the utility of these approaches is important, the concepts underlying their use are complex. The purpose of this article is to provide a basic tutorial for conducting…
Descriptors: Probability, Statistical Analysis, Regression (Statistics), Statistical Bias
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Moorfoot, Nicholas; Leung, Rachel K.; Toumbourou, John W.; Catalano, Richard F. – International Journal of Developmental Science, 2015
This study explores the longitudinal effect of adolescent volunteering behaviour on young adult volunteering and the completion of secondary school. Utilising data from the Australian sample of the International Youth Development Study, frequency of volunteering in Grade 9 (mean age = 15 years) and in young adulthood (mean age = 21 years), and…
Descriptors: Longitudinal Studies, Adolescents, Volunteers, Secondary School Students
Martinez, Gladys M.; Abma, Joyce C. – Centers for Disease Control and Prevention, 2015
Monitoring sexual activity and contraceptive use among U.S. adolescents is important for understanding differences in their risk of pregnancy. In 2013, the U.S. birth rate for teenagers aged 15-19 dropped 57% from its peak in 1991, paralleling a decline in the teen "pregnancy" rate. But these rates are still higher than those in other…
Descriptors: Contraception, Sex, Pregnancy, Pregnant Students
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Kugler, Kari C.; Vasilenko, Sara A.; Butera, Nicole M.; Coffman, Donna L. – Journal of Early Adolescence, 2017
Although early sexual initiation has been linked to negative outcomes, it is unknown whether these effects are causal. In this study, we use propensity score methods to estimate the causal effect of early sexual initiation on young adult sexual risk behaviors and health outcomes using data from the National Longitudinal Study of Adolescent to…
Descriptors: Sexuality, Young Adults, Adolescents, Probability
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