Structural Equation Modeling: Latent Growth Curve Analysis

There is a growing literature demonstrating that speech rhythm sensitivity is related to children's reading development, independent of phonological awareness. However, the precise nature of this relationship is less well understood, and further research is warranted to investigate whether speech rhythm sensitivity predicts the different components of reading over time. In this 1-year longitudinal study, 69 five- to 8-year-old English-speaking children completed a speech rhythm assessment at Time 1 along with other cognitive assessments and then completed a variety of reading assessments at Time 2 (1 year later). A series of hierarchical regression analyses revealed that after controlling for individual differences in age, vocabulary, and phonological awareness, speech rhythm sensitivity was able to predict unique variance in word reading and the phrasing component of the reading fluency measure 1 year later. The findings emphasize the contribution of speech rhythm sensitivity in children's reading development, and the authors argue that speech rhythm sensitivity should now be included in current models of children's reading development.

BackgroundAlthough researchers have examined the impact of childhood psychological abuse on adolescent depressive symptoms, further investigation is needed to understand the mechanisms by which childhood psychological abuse influences these symptoms.MethodsUtilizing a latent variable growth model, this study analyzed the dynamic trajectories of depressive symptoms among 1,300 adolescents from four middle schools in Jiangsu Province and Sichuan Province, as well as the factors influencing these trajectories. A longitudinal survey was conducted with three rounds of questionnaires over the course of a semester. Data analysis was performed using SPSS 24.0 and Mplus 7.0.ResultsThe findings revealed several key points: (1) Depressive symptoms among adolescents generally showed a linear decline; however, there were significant individual differences in initial symptom levels and rates of change; (2) Childhood psychological abuse was found to significantly predict both initial levels and the pace of change in depressive symptoms; (3) All three dimensions of childhood psychological abuse—verbal aggression, threats, and intrusiveness—significantly influenced both initial symptom levels and the trajectory of change; (4) The dynamics of psychological abuse were significantly correlated with the rate of change in depressive symptoms.ConclusionThe results highlight the detrimental effects of childhood psychological abuse and suggest the feasibility of interventions targeting early secondary school students, providing insights into strategies to mitigate the impact of depressive symptoms among adolescents.

When several continuous outcome measures of interest are collected across time in experimental studies, the use of standard statistical procedures, such as multivariate analysis of variance or growth curve modeling, can be properly used to assess treatment effects. However, when data consist of mixed responses (e.g., continuous and ordered categorical [ordinal] responses), traditional modeling approaches are no longer appropriate. The purpose of this article is to illustrate the use of a more suitable modeling procedure when mixed responses are collected in longitudinal intervention studies. Problems with traditional analyses of such data are discussed, as are potential advantages provided by the proposed modeling approach. The application of the multiple-domain latent growth modeling approach with mixed responses is illustrated for experimental designs with data from the SeniorWISE study (McDougall et al., 2010). This multisite randomized trial assessed memory functioning of 265 elderly adults across a 26-month period after receiving either a memory or health promotion training program. The latent growth models illustrated allow one to examine treatment effects on the growth of multiple mixed outcomes while incorporating associations among multiple responses, which allows for better missing data treatment, greater power, and more accurate control of Type I error. The interpretation of parameters of interest and treatment effects is discussed using the SeniorWISE data. Multiple-domain latent growth modeling with mixed responses is a flexible statistical modeling tool that can have substantial benefits for applied researchers. As such, the use of this modeling approach is expected to increase.

A number of studies have examined the impact of mass rapid transit (MRT) systems, especially the transit station, on house prices, and the conclusions vary. While most studies focused on the analysis at an aggregate level, this paper develops a hierarchical hedonic price model of individual growth to investigate the effects of real estate’s proximity to the train stations, together with other house/neighborhood-specific characteristics, on the longitudinal growth pattern of house prices in Great Taipei. Sample houses are those located within a radius of one kilometer from selected MRT stations. The empirical results show that: (1) the growth pattern of housing price in real terms over time is significantly upward; (2) the city in which the house is located and the type of building positively moderate such growth trajectory; and (3) the influences of both the distance to MRT on house prices and on the growth pattern of house prices are insignificant. Discussion and implications of these findings were provided.

This study examines the role of supervisor support in fostering employees' incremental and radical creativity, with employee ambition as a moderating factor. Drawing on conservation of resources theory, it further investigates how these forms of creativity influence changes in the career withdrawal intentions of hospitality employees over time. Utilizing three-wave longitudinal data from a dyadic sample of 204 hospitality workers and their supervisors, results indicate that supervisor support significantly enhances both incremental and radical creativity, with ambition amplifying this effect. Based on three-level latent growth modeling, the findings also reveal that incremental creativity reduces initial withdrawal intentions and slows their progression over time, while radical creativity initially decreases withdrawal intentions but lacks sustained impact. These findings highlight the crucial role of supervisor support and employee ambition in fostering creativity and positively influencing employees’ career engagement over time.

BackgroundLong-term follow-up studies of people with schizophrenia report stability of cognitive performance; less is known about any shorter-term changes in cognitive function.MethodsThis longitudinal study aimed to establish whether there was stability, improvement or decline in memory and executive functions over four assessments undertaken prospectively in one year. Cognitive performance was assessed during randomized controlled trials of first- and second-generation antipsychotic medication. Analyses used a latent growth modeling approach, so that individuals who missed some testing occasions could be included and trajectories of cognitive change explored despite missing data.ResultsOver the year there was significant decline in spatial recognition but no change in pattern recognition or motor speed. Improvement was seen in planning and spatial working memory tasks; this may reflect improved strategy use with practice. There were significant individual differences in the initial level of performance on all tasks but not in rate of change; the latter may have been due to sample size limitations. Age, sex, premorbid IQ and drug class allocation explained significant variation in level of performance but could not predict change. Patients randomized to first-generation drugs improved more quickly than other groups on the planning task.ConclusionWe conclude that cognitive change is present in schizophrenia but the magnitude of change is small when compared with the large differences in cognitive function that exist between patients. Analyses that retain patients who drop out of longitudinal studies, as well as those who complete testing protocols, are important to our understanding of cognition in schizophrenia.

The role of fingerspelling or manual alphabet for reading among deaf and hard-of-hearing individuals has been of great interest in research. What can decades of research on fingerspelling and reading among deaf individuals tell us about how fingerspelling aids deaf children's reading development? This scoping review was, therefore, undertaken to explore: (a) What is the relationship between fingerspelling and reading?, (b) In what ways do fingerspelling abilities promote reading skills?, and (c) What is known about using fingerspelling to teach reading? We identified 26 studies that were screened and summarized according to publication characteristics. The content and methods of these studies were briefly described. The results revealed a larger proportion of quantitative methods and ASL/English settings. A discussion and implications for future research are provided.

Childhood maltreatment is associated with adult obesity, but there is conflicting evidence regarding the relationship between childhood maltreatment and obesity during adolescence. To compare the body mass index (BMI) trajectory of adolescents with a specific type of maltreatment (sexual abuse, physical abuse, emotional abuse or neglect) to adolescents with another type of maltreatment (maltreated sample n = 303) and to a comparison group (n = 151). Individual growth models were used to estimate average growth trajectories of BMI percentile separately by sex (ages 9 to 22 years). Unconditional and conditional linear and quadratic growth models were estimated and maltreatment types were added before including covariates (ethnicity, anxiety, depression and pubertal stage). BMI growth trajectories of sexually abused girls and neglected girls were significantly different from comparison girls. Comparison girls had a growth trajectory that reached its apex at 15 years and then began to decline, whereas sexually abused girls and neglected girls had lower BMI than comparison girls until age 16-17 years when their BMI was higher than comparison girls. Late adolescence appears to be the developmental period during which differences in BMI percentiles become pronounced between girls with sexual abuse or with neglect vs. comparison girls.

PurposeTo measure the dynamic features of compassion as an emotional and behavioral construct, the present research used a univariate latent growth modeling (LGM) approach within the structural equation modeling (SEM) framework. The aim was to trace the dynamic development of compassion longitudinally in accounting and business students during a three-credit English course at university.Design/methodology/approachThe suggested method ensures the measurement invariance over time, deals with the first order latent variable, traces its growth and takes into account the measurement errors. This longitudinal analytical method was used to explore the initial state and the growth of compassion in four points of time during a language course. The data were collected from 60 adult accounting and business students in four time phases using Sprecher and Fehr's Compassionate Love Scale and were analyzed in Mplus 8.4 with univariate LGM.FindingsThe model fit was accepted and the invariance of the latent factor was confirmed over time. The negative covariance between intercept and slope (second-order latent variables) suggested that lower initial scores in L2 learners' compassion show a faster increase in compassion over time as the mean of slope is larger than that of the intercept. L2 learners who started off at a higher level of compassion showed a slower change in compassion over time. This can be at least partly explained by the teacher's motivating role or learners' compassion but needs to be further explored in complementary qualitative phases for deeper insights.Originality/valueIn the present research, awareness was raised of the developmental nature of compassion as an emotional and behavioral construct essential to the accounting and business profession. The great strength of this research lies in the dynamic approach to the compassion construct and the LGM used to capture the temporal growth of compassion and how it evolved through the L2 course.

Case Presentation: E.C. is a 53-year-old postmenopausal female, referred for treatment of hypertension, with a family history of type 2 diabetes, hypertension, and coronary heart disease (CHD). Until learning that her blood pressure was “too high” during a routine physical examination, she felt well, and her postmenopausal symptoms had responded to hormone replacement therapy. She was not overweight (her body mass index [BMI] was 23.7 kg/m2), and the only abnormality on physical examination was a blood pressure of 145/95 RAR. Laboratory results revealed a normal blood count and urinalysis, with the following fasting plasma concentrations of relevant metabolic variables (in mg/dL): glucose 102, triglycerides (TG) 238, low-density lipoprotein cholesterol (LDL-C) 147, and high-density lipoprotein cholesterol (HDL-C) 52. E.C. is hypertensive and hypertriglyceridemic and at increased risk for CHD. Less obvious is that these metabolic abnormalities are highly likely to be the manifestations of a more fundamental defect—resistance to insulin-mediated glucose disposal and compensatory hyperinsulinemia, changes that greatly increase CHD risk.1,2⇓ The importance of insulin resistance as a CHD risk factor was first explicated in 1998, and the cluster of abnormalities likely to appear as manifestations of the defect in insulin action designated as syndrome X.1 Support for this notion has grown almost as fast as the names used to describe the phenomenon. The Adult Treatment Panel III (ATP III) has recently3 recognized the importance as CHD risk factors of a “constellation of lipid and nonlipid risk factors of metabolic origin,” designated this cluster of abnormalities as “the metabolic syndrome,” and indicated that “this syndrome is closely linked to insulin resistance.” Table 1 lists the criteria the ATP III stipulated be used to diagnose the metabolic syndrome, and a recent report4 has applied these criteria to the database of the Third National Health and Nutrition …

We present a pricing kernel that summarizes well the main features of the dynamics of interest rates and risk in postwar U.S. data and use it to uncover how the pricing kernel has moved with the short rate in this data. Our findings imply that standard monetary models miss an essential link between the central bank instrument and the economic activity that monetary policy is intended to affect, and thus we call for a new approach to monetary policy analysis. We sketch a new approach using an economic model based on our pricing kernel. The model incorporates the key relationships between policy and risk movements in an unconventional way: the central bank's policy changes are viewed as primarily intended to compensate for exogenous business cycle fluctuations in risk that threaten to push inflation off target. This model, while an improvement on standard models, is considered just a starting point for their revision. It leads to critical questions that researchers need to answer as they continue to revise their approach to monetary policy analysis. Copyright © 2009 by the National Bureau of Economic Research.

The purpose of this entry is to briefly describe a study for which mixed methods were best suited. This study examined the growth of two groups of preservice literacy teachers in their abilities to recognize salient features of children's reading development. Quantitative data were used to ascertain growth, while qualitative data were used to situate the learning experiences in which this growth occurred. A purely quantitative study could have revealed growth, but little would be known about how that growth occurred. A purely qualitative study could have provided a rich description of two different ways to implement case‐based instruction but would not provide information about the growth of the learners. A mixed design helped to account for both the growth of the learners and an understanding of the interventions experienced by each group of learners.

Are faster readers also better readers? : exploring the role of reading fluency in Chinese children's reading development

Introduction: Readability formulas are crucial for identifying suitable texts for children's reading development. Traditional formulas, however, are linear models designed for alphabetic languages and struggle with numerous predictors. Purpose: To develop advanced readability formulas for Chinese texts using machine-learning algorithms that can handle hundreds of predictors. It is also the first readability formula developed in Hong Kong. Method: The corpus comprised 723 texts from 72 Chinese language arts textbooks used in public primary schools. The study considered 274 linguistic features at the character, word, syntax, and discourse levels as predictor variables. The outcome variables were the publisher-assigned semester scale and the teacher-rated readability level. Fifteen combinations of linguistic features were trained using Support Vector Machine (SVM) and Random Forest (RF) algorithms. Model performance was evaluated by prediction accuracy and the mean absolute error between predicted and actual readability. For both publisher-assigned and teacher-rated readability, the all-level-feature-RF and character-level-feature-RF models performed the best. The top 10 predictive features of the two optimal models were analyzed. Results: Among the publisher-assigned and subjective readability measures, the all-RF and character-RF models performed the best. The feature importance analyses of these two optimal models highlight the significance of character learning sequences, character frequency, and word frequency in estimating text readability in the Chinese context of Hong Kong. In addition, the findings suggest that publishers might rely on diverse information sources to assign semesters, whereas teachers likely prefer to utilize indices that can be directly derived from the texts themselves to gauge readability levels. Conclusion: The findings highlight the importance of character-level features, particularly the timing of a character's introduction in the textbook, in predicting text readability in the Hong Kong Chinese context.

Five-to-six-year-olds' abilities to detect and solve ambiguities in spoken language have been found to be a predictor of their later reading abilities in first-to-third grade. However, the origins of this relationship remain unclear. Success in ambiguity detection may be reflective of overall language attainment, which varies with socioeconomic status (SES) and is known to predict reading. Yet, it is also possible that children's ability to detect ambiguity is explained by domain-general cognitive control skills, which can also vary with SES and predict literacy attainment. In this cross-sectional study, we examined within the same children the contributions of overall language knowledge, SES, and cognitive control skills to their ability to detect ambiguities in speech. Five-to-six-year-old French-learning preschoolers (n=38) performed three different tasks: ambiguity detection, a cognitive control (Flanker/No-Go) task, and standard assessments of vocabulary and oral language comprehension in French (BSEDS). Years of maternal education after the end of high school were used as a proxy of family SES. Individual differences in the ability to detect ambiguity were strongly related to children's cognitive control abilities, as indexed by congruency effects in the Flanker task. No relations with SES or language assessment were observed. These results lend support to the idea that children's reading development may hinge upon their ability to deal effectively with temporary lexical, syntactic, and semantic ambiguities that pervade real-time sentence interpretation and that their ability to deal with representational conflict in speech is reflective of their domain-general cognitive control skills.