This study aimed to understand the factors that influence Chinese American older adults’ advance care planning (ACP) on end-of-life care. The Theory of Planned Behavior (TPB) and Health Belief Model (HBM) were primarily applied to explain Chinese American older adults’ intentions toward two behaviors: 1) discussion of end-of-life care plans with family members and 2) completion of an advance directive (AD). Additionally, acculturation and family cohesion were considered to examine their impacts on the TPB and HBM. A cross-sectional survey was conducted through face-to-face interviews on a sample of 298 community-dwelling Chinese-American adults aged 55 and older living in the metropolitan Phoenix area of Arizona. Based upon random assignment, 161 participants answered questions regarding discussing end-of-life care plans with family members, while 137 participants answered questions related to the completion of an AD. Hierarchical multiple regression analysis was used to focus on the influence of TPB and HBM measures on behavioral intentions toward the two behaviors. Results indicated that both the TPB and HBM had predictive power to explain the target population’s intentions. However, the predictability of TPB and HBM measures varied across the two behaviors. Acculturation moderated the relationship between attitudes and intentions to complete an AD negatively. Family cohesion moderated the relationship between perceived benefits and intentions to discuss end-of-life care plans with family members negatively. These findings would help inform future interventions for improving the target population’s ACP awareness and engagement.

Children with hearing impairment are at risk for poor attainment in reading decoding and reading comprehension, which suggests they may have difficulty with early literacy skills prior to learning to read. The first purpose of this study was to determine if young children with hearing impairment differ from their peers with normal hearing on early literacy skills and also on three known predictors of early literacy skills – non-verbal cognition, executive functioning, and home literacy environment. A second purpose was to determine if strengths and weaknesses in early literacy skills of individual children with hearing impairment are associated with degree of hearing loss, non-verbal cognitive ability, or executive functioning.

I assessed seven children with normal hearing and 10 children with hearing impairment on assessments of expressive vocabulary, expressive morphosyntax, listening comprehension, phonological awareness, alphabet knowledge, non-verbal cognition, and executive functioning. Two children had unilateral hearing loss, two had mild hearing loss and used hearing aids, two had moderate hearing loss and used hearing aids, one child had mild hearing loss and did not use hearing aids, and three children used bilateral cochlear implants. Parents completed a questionnaire about their home literacy environment.

Findings showed large between-group effect sizes for phonological awareness, morphosyntax, and executive functioning, and medium between-group effect sizes for expressive vocabulary, listening comprehension, and non-verbal cognition. Visual analyses provided no clear pattern to suggest that non-verbal cognition or degree of hearing loss were associated with individual patterns of performance for children with hearing impairment; however, three children who seemed at risk for reading difficulties had executive functioning scores that were at the floor.

Most prekindergarten and kindergarten children with hearing impairment in this study appeared to be at risk for future reading decoding and reading comprehension difficulties. Further, based on individual patterns of performance, risk was not restricted to one type of early literacy skill and a strength in one skill did not necessarily indicate a child would have strengths in all early literacy skills. Therefore, it is essential to evaluate all early literacy skills to pinpoint skill deficits and to prioritize intervention goals.

As methods for measuring the relationship between personality and behavior have become more sophisticated, so too has the interest in better explaining the role that environments play in this relationship. Recent efforts have been made to clarify the hypothesized moderating role of environments on this relationship and Cooper and Withey (2009), in particular, have provided evidence for the paucity of empirical research that explains the ways in which strong and weak situations may differentially affect the relationship between personality and behavior. They contend, through a thorough review of the literature, that the intuitive nature of the theory provides promise and that there is likely some substantive basis for the assertion that environmental strength should moderate the relationship between personality and theoretically relevant behaviors. The current study was designed to test the moderating influence of interpersonal environment on the relationship between interpersonal personality and interpersonal behavior, specifically whether the evidence exists for the hypothesis that moderation differentially exists for strong and weak environments. No evidence was provided for the moderating role of environments. Evidence was provided for the predictive utility of traits in all models.

Instrumentality is an important motivational construct that empathizes the connection between a present task and a future goal. Instrumentality is conceptualized as a task-specific variable. Reflecting context-dependent characteristics, two different types of instrumentality are distinguished: endogenous and exogenous instrumentality. Endogenous instrumentality is the perception that learning in a present task is useful to achieving valued future goals and exogenous instrumentality is the perception that outcome in a present task is instrumental to achieving valued future goals. This study investigated the differential relationships among each instrumentality type, academic achievements, and motivational variables. Three studies were conducted to investigate the relationship between each type of instrumentality and students’ achievement and motivational variables such as achievement goals, situational interests, and pressure and the moderating role of self-efficacy on the relationship. Study 1 investigated how endogenous and exogenous instrumentality was related to students’ achievement respectively. In addition, it was examined whether self-efficacy moderated in the relationship between each instrumentality and achievement. Study 2 was conducted to find that how each instrumentality was related to three different types of achievement goals, which were mastery, performance-approach, and performance-avoidance goals. Interaction between each type of instrumentality and self-efficacy was examined to find a moderating effect by self-efficacy on accounting for the relationship between instrumentality and achievement goals. Study 3 examined the role of each instrumentality on situational interest, pressure and achievement. The results showed that endogenous instrumentality predicted grade positively regardless students’ self-efficacy level, whereas exogenous instrumentality positively predicted grade of students with high self-efficacy and negatively predicted grade of students with low-self-efficacy. In addition, endogenous instrumentality predicted mastery goals positively and performance-avoidance goals negatively, whereas exogenous instrumentality predicted both performance-approach and performance avoidance goals positively. Moreover, students with high self-efficacy were less likely to adopt performance-avoidance goals when they perceived more endogenous instrumentality. It was also found that endogenous instrumentality was a positive predictor of situational interest and a negative predictor of pressure, whereas exogenous instrumentality was a negative predictor of situational interest and as a positive predictor of pressure. There was a mediating effect of pressure on the relationship between each instrumentality and grade.

Individuals are attracted to occupational environments that align with their interests and personality characteristics (Holland, 1985, 1997). When an individual's attributes (i.e., needs, abilities, values and/or interests) align with the occupational environment's characteristics an individual is more satisfied. Past research suggests this relation is modest at best, hovering between .20 and .30 (Meyer et al., 2001, c.f. Wilkins & Tracey, 2014), with slightly higher estimates (ranging from .24 to .35) depending on how the variables of person and environment were measured (Kristof-Brown, Zimmerman, & Johnson, 2005). Several factors contribute to such low estimates, most notably the role of moderator variables in suppressing or exacerbating the true magnitude of this relation. A moderator that has yet to be explored is that of nonwork role priority, or the degree to which an individual's work identity is valued relative to other role identities. In the current study, three hypotheses were posited to investigate nonwork role priorities as a potential moderator to the congruence-satisfaction relation. Latent class analysis was used to apply a person-centered approach to understanding response patterns and differences in these roles. The sample was differentiated best by a two-class solution and the class variable in all three hierarchical regression models explained about five percent of the variance in job satisfaction, which suggests that work and nonwork role priority are meaningful to understanding individual career happiness. Class was not identified as a significant moderator to the congruence-satisfaction relation. Discussion of limitations to the current study and recommendations for future work in this area are presented.

A simulation study was conducted to explore the influence of partial loading invariance and partial intercept invariance on the latent mean comparison of the second-order factor within a higher-order confirmatory factor analysis (CFA) model. Noninvariant loadings or intercepts were generated to be at one of the two levels or both levels for a second-order CFA model. The numbers and directions of differences in noninvariant loadings or intercepts were also manipulated, along with total sample size and effect size of the second-order factor mean difference. Data were analyzed using correct and incorrect specifications of noninvariant loadings and intercepts. Results summarized across the 5,000 replications in each condition included Type I error rates and powers for the chi-square difference test and the Wald test of the second-order factor mean difference, estimation bias and efficiency for this latent mean difference, and means of the standardized root mean square residual (SRMR) and the root mean square error of approximation (RMSEA).

When the model was correctly specified, no obvious estimation bias was observed; when the model was misspecified by constraining noninvariant loadings or intercepts to be equal, the latent mean difference was overestimated if the direction of the difference in loadings or intercepts of was consistent with the direction of the latent mean difference, and vice versa. Increasing the number of noninvariant loadings or intercepts resulted in larger estimation bias if these noninvariant loadings or intercepts were constrained to be equal. Power to detect the latent mean difference was influenced by estimation bias and the estimated variance of the difference in the second-order factor mean, in addition to sample size and effect size. Constraining more parameters to be equal between groups—even when unequal in the population—led to a decrease in the variance of the estimated latent mean difference, which increased power somewhat. Finally, RMSEA was very sensitive for detecting misspecification due to improper equality constraints in all conditions in the current scenario, including the nonzero latent mean difference, but SRMR did not increase as expected when noninvariant parameters were constrained.

This longitudinal study examined the relations between self-regulation and reading achievement from kindergarten through second grade. In addition to the broader concept of effortful control, this study looked at various sub-components, including attention focusing and inhibitory control. A series of unconditional latent growth curve models were estimated to assess the initial level and growth of children’s parent- and teacher-reported effortful control and reading skills. In addition, parallel-process latent-growth curve models were estimated to examine the relations between the growth parameters (e.g., how the initial level and growth in self-regulation relates to the initial level and growth in reading). Parent-reported inhibitory control and effortful control displayed linear growth over this time period. Teacher-reported self-regulation did not change significantly. Reading achievement increased across all three time points, but the rate of growth was steeper from kindergarten through first grade than from first to second grade. Results from the parallel-process models showed that the kindergarten scores for parent-reported attention focusing and inhibitory control were negatively related to growth in Letter Word abilities from first through second grade, whereas initial teacher-reported attention focusing, inhibitory control, and effortful control were negatively related to growth in Passage Comprehension abilities from first to second grade. This study illustrates important relations between self-regulation and reading abilities throughout the first few years of elementary school.

Although models for describing longitudinal data have become increasingly sophisticated, the criticism of even foundational growth curve models remains challenging. The challenge arises from the need to disentangle data-model misfit at multiple and interrelated levels of analysis. Using posterior predictive model checking (PPMC)—a popular Bayesian framework for model criticism—the performance of several discrepancy functions was investigated in a Monte Carlo simulation study. The discrepancy functions of interest included two types of conditional concordance correlation (CCC) functions, two types of R2 functions, two types of standardized generalized dimensionality discrepancy (SGDDM) functions, the likelihood ratio (LR), and the likelihood ratio difference test (LRT). Key outcomes included effect sizes of the design factors on the realized values of discrepancy functions, distributions of posterior predictive p-values (PPP-values), and the proportion of extreme PPP-values.

In terms of the realized values, the behavior of the CCC and R2 functions were generally consistent with prior research. However, as diagnostics, these functions were extremely conservative even when some aspect of the data was unaccounted for. In contrast, the conditional SGDDM (SGDDMC), LR, and LRT were generally sensitive to the underspecifications investigated in this work on all outcomes considered. Although the proportions of extreme PPP-values for these functions tended to increase in null situations for non-normal data, this behavior may have reflected the true misfit that resulted from the specification of normal prior distributions. Importantly, the LR and the SGDDMC to a greater extent exhibited some potential for untangling the sources of data-model misfit. Owing to connections of growth curve models to the more fundamental frameworks of multilevel modeling, structural equation models with a mean structure, and Bayesian hierarchical models, the results of the current work may have broader implications that warrant further research.

The purposes of this study were (1) to examine the direct and indirect effect of school-level testing policies on reading achievement though changes in amount and types of reading instruction, (2) to investigate the reading trajectories moderated by school-level testing policies longitudinally, and (3) to examine the relationship between testing policies and the achievement gap by exploring whether certain student characteristics moderate the relationship between testing policy and reading achievement, using Early Childhood Longitudinal Study Kindergarten (ECLS-K) Cohort of 2010-2011 data. Findings from a multilevel full structural mediation model suggest that school-level frequency of state/local standardized tests had an indirect effect on student reading achievement through changes in both amount and the types of instruction at the school-level (cross-sectional fall kindergarten sample =12,241 children nested in 1,067 kindergarten classes). The findings from a three-level growth models indicated only children of Asian background and children from high socio-economic backgrounds who had frequent standardized tests in kindergarten accelerated in their monthly reading growth, whereas other children (e.g., low SES, non-Asian children) did not show any changes in the rate of the reading growth (longitudinal sample from fall of kindergarten to spring of first grade = 7,392 children nested in 744 kindergartens). The findings from the current study suggest that testing policy is not an effective means to reduce the achievement gap of children from disadvantaged family backgrounds, underperforming children or that children from low socieo-economic backgrounds. These children did not seem to benefit from frequent standardized tests longitudinally. Implications for supporting school assessment practices and instruction are discussed.

In two separate publications, the average patterns of, and individual differences in, preschoolers' selective attention processes were investigated using a multilevel modeling framework. In Publication 1, using two independent samples (Ns= 42, 75), preschoolers' selective attention towards different types of emotions (both positive and negative) was examined using two eye-tracking tasks. The results showed that, on average, children selectively attended to valenced emotional information more than neutral emotional information. In addition, a majority of children were able to detect the different emotional stimulus among three neutral stimuli during the visual search task. Children were more likely to detect angry than sad emotional expressions among neutral faces; however, no difference was found between detection of angry and happy faces among neutral faces. In Publication 2, the associations of children's anger and sadness proneness to their attention biases towards anger and sad emotional information, respectively, and the relations of these biases to various aspects children's social functioning and adjustment were examined among preschool-aged children (N = 75). Children's predisposition to anger and sadness were shown to be related to attentional biases towards those specific emotions, particularly if children lacked the ability to regulate their attention. Similarly, components of attention regulation played an important role in moderating the associations of biases towards angry information to aggressive behaviors, social competence, and anxiety symptoms. Biases towards sadness were unrelated to maladjustment or social functioning. Findings were discussed in terms of the importance of attention biases and attention regulation as well as the implications of the findings for attention training programs.