Using Latent Class Analysis to Model Temperament Types

Mixture models are appropriate for data that arise from a set of qualitatively different subpopulations. In this study, latent class analysis was applied to observational data from a laboratory assessment of infant temperament at four months of age. The EM algorithm was used to fit the models, and the Bayesian method of posterior predictive checks was used for model selection. Results show at least three types of infant temperament, with patterns consistent with those identified by previous researchers who classified the infants using a theoretically based system. Multiple imputation of group memberships is proposed as an alternative to assigning subjects to the latent class with maximum posterior probability in order to reflect variance due to uncertainty in the parameter estimation. Latent class membership at four months of age predicted longitudinal outcomes at four years of age. The example illustrates issues relevant to all mixture models, including estimation, multi-modality, model selection, and comparisons based on the latent group indicators.     

A Latent Class Analysis of Childhood Maltreatment: Identifying Abuse Typologies

Multiple forms of abuse may co-occur, resulting in specific abuse typologies. A stratified random probability survey was conducted in Denmark with 4,718 participants, aged 24, from the 1984 birth cohort. A total of 2,980 interviews were successfully conducted. Latent class analysis was implemented using 20 categorical abuse experience items across four domains of childhood maltreatment. Logistic regression was conducted to ascertain whether abuse typologies could be differentiated by child protection status and gender. Four distinct abuse typologies were revealed: a non-abused group, a psychologically maltreated group, a sexually abused group, and a group experiencing multiple abuse types. Child protection status and female gender were predictive of group membership in certain abused groups compared to a non-abused group.     

Identifying Students at Risk: An Examination of Computer-Adaptive Measures and Latent Class Growth Analysis

Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening. Participants included 3,699 students in Grades 3–5. Three time points of administration (fall, winter, and spring) of the computer-adaptive reading measure were selected. LCGA results indicated 6–7 classes, depending on grade, informed by level and growth in student performance that significantly predicted failure on the statewide test administered at the end of the year. The lowest-performing classes had failure rates above 90% across all grades. The results indicate that identifying homogeneous groups of learners through LCGA may be valuable as an approach to determining students who need additional instruction. Practical implications and future directions are discussed.     

Religious polarization: contesting religion in secularized Western European countries

In light of recent claims about increasing religious polarization in secularized countries, we study the extent to which the non-religious contest religion in Western European countries and whether and how the Protestant and Catholic heritage of these countries plays a role in this. Analyzing data from the International Social Survey Program (ISSP 1998 and 2008) data by means of multilevel analysis, we demonstrate that religious polarization is stronger in the most secularized countries and in countries with a Catholic religious heritage. Moreover, in secular countries, polarization stems from religious fervency, whereas in countries with a Catholic heritage, it stems from anti-religious fervency.     

Three Subtypes of Internalizing and Externalizing Behaviors in Chinese Adolescents: Results of a Latent Class Analysis

Using latent class analyses (LCA), the present study aimed to test whether meaningful subtypes of internalizing and externalizing behaviors could be found among Chinese community-based adolescents. A total of 5244 adolescents, ages 11–18 years (M?=?15.11, SD?=?1.79) recruited from 16 Chinese middle schools completed the Chinese version of the Strengths and Difficulties Questionnaire (SDQ-C). We examined the data using Latent Class Analysis to identify subtypes of internalizing and externalizing behaviors among the adolescents. Multivariate Logistic regression was subsequently implemented to ascertain the relationships between latent classes and demographic covariates. Three distinct subtypes were uncovered: a high-risk group, a middle-risk group and a low-risk group; the three subtypes accounted for 19.8, 31.1, and 49.1 % of the total sample variance respectively. Youth with elevations in one behavior type were likely to have elevations in the other behavior type. Further analyses revealed that compared to the low-risk group, the adolescents from the high-risk group and middle-risk groups were female and older. Significant heterogeneity in internalizing and externalizing behaviors was revealed in this Chinese adolescent’s sample. Profiling behavior problems patterns is potentially useful as a first step in developing tailored prevention and intervention programs. Suggestions for future research, including cross-national studies, and implications for mental health professionals were discussed.     

Religious Affiliation and Attendance Among Immigrants in Eight Western Countries: Individual and Contextual Effects

This study examines the religious affiliation and participation of immigrants from a large-scale, comparative perspective. I propose a "specific migration" framework, in which immigrants' religiosity is an outcome of both individual characteristics and contextual properties related to immigrants' country of origin, country of destination, and combinations of origin and destination (i.e., communities). I use notions discussed in the religion and migration literature that fit into this scheme. To test these ideas, I collected and standardized 20 existing surveys on immigrants in eight Western countries, yielding about 38,000 immigrants. Applying multilevel models, I found, among other things, that: (1) immigrants from countries with higher levels of modernization express lower levels of religious commitment; (2) immigrants in religious countries are more religious themselves; and (3) the well-documented higher levels of religious commitment among women is not generalizable to immigrants.     

Examining Patterns of Political, Social Service, and Collaborative Involvement of Religious Congregations: A Latent Class and Transition Analysis

This investigation examines typologies of congregations based on patterns of congregational political and social service activities and collaborative partners. Based on a latent class analysis of a national random sample of 2,153 congregations, results indicated four distinct types of congregations with unique patterns of political, social service, and collaborative partnerships labeled: (a) Active, (b) Not Active, (c) Social Service Not Political, and (d) Political Not Social Service. Moreover, congregational characteristics such as religious tradition and clergy characteristics predicted membership in certain types. A latent transition analysis using an additional 262 congregations revealed distinct patterns of how congregations changed types across a nine year period. Results showed both congregational continuity (e.g., Not Active congregations remained Not Active) and change (e.g., Active congregations were likely to change type membership). This study advances congregational research by examining congregational types, what predicts certain types, and how congregations change types across time. Implications for future research and partnership with religious congregations also are discussed.     

Measuring Religious Attitudes in Secularized Western European Context: A Psychometric Analysis of the Post-Critical Belief Scale

Wulff's two-dimensional model of approaches to religion was an inspiration for the development of the Post-Critical Belief Scale (PCBS), an instrument measuring religious attitudes, that is, “paradigms of religious belief structure” in a secularized Western European context. The scale has been frequently used in psychological studies, has undergone psychometric analyses and modifications, and has been translated into several languages. The current study shows results of a psychometric analysis of the component structure of PCBS in different age groups over time using Clusterwise Simultaneous Component Analysis-Equal Cross-Product (SCA-ECP). The analysis was based on samples collected in Flanders (Belgium; N = 14,599). The one-cluster and two-cluster models yielded three components: Literal Affirmation, Literal Disaffirmation, and Symbolic Attitude, and there were no differences between age groups. In the two-cluster model, subtle differences between samples collected before and after 2002 were found, and these were related to two PCBS items referring to interpretation of Biblical stories. Our finding of a generalized Symbolic Attitude might be related to the changes in the approaches to religion in secularized Western Europe, and might capture the religious (dis-)belief of individuals who are open and tolerant to other religious systems, or alternatively, have become indifferent to them. Further cross-cultural and longitudinal studies are needed to better understand the religious attitudes in a secularized context, and the development of a new scale based on the paradigm of personal meaning systems is suggested     

A Person‐Centered Examination of Adolescent Religiosity Using Latent Class Analysis

Empirical studies of religion's role in society, especially those focused on individuals and analyzing survey data, conceptualize and measure religiosity as ranging from low to high on a single measure or a summary index of multiple measures. Other concepts, such as “lived religion,” “believing without belonging,” or “fuzzy fidelity” emphasize what scholars have noted for decades: humans are rarely consistently low, medium, or high across dimensions of religiosity including institutional involvement, private practice, salience, or belief. A method with great promise for identifying population patterns in how individuals combine types and levels of belief, practice, and personal religious salience is latent class analysis. In this article, we use data from the first wave of the National Study of Youth and Religion's telephone survey to discuss how to select indicators of religiosity in an informed manner, as well as the implications of the number and types of indicators used for model fit. We identify five latent classes of religiosity among adolescents in the United States and their sociodemographic correlates. Our findings highlight the value of a person‐centered approach to understanding how religion is lived by American adolescents.     

Class and Congregations: Class and Religious Affiliation at the Congregational Level of Analysis

Since Niebuhr's seminal work on the social sources of denominationalism, nearly all research on the relationship between social class and religious affiliation has focused on the denominational (or individual) level of analysis. This research examines the effects of social class at the congregational level—effects that were previously glossed over by a unit of analysis that was too large. After demonstrating the relative strength of social class at the denominational and congregational level, I argue that our theoretical attempts to link class and religious affiliation must include congregational-level explanations.     

Using Three Reporters to Identify Pre-Adolescent Peer Victims through Latent Profile Analysis

Research on Child and Adolescent Psychopathology - The goals of the current study were to use a three-reporter methodology and multi-level Latent Profile Analysis: (a) to determine the victim...     

潜在类别分析技术在心理学研究中的应用

潜在类别分析是通过对类别型的外显变量和潜在变量之间的关系建立统计模型,根据模型参数得到各种潜在类别的具体外在表现的潜在特征分类技术。该分析方法主要应用于心理行为特征的分类、控制认知心理实验中被试个体差异引起的系统误差、评价临床心理诊断的精确性,以及心理测验中的项目分析、信度分析、结构分析等。对此方法的优劣进行分析比较,表明:该方法可以与其他测量理论相结合进一步拓展其在心理测量中的应用,也可在纵向数据和多水平数据中应用。在应用中亦有提升方法技术的空间。     

Religious Orientation in Three Central European Environments: Quest,Intrinsic, and Extrinsic Dimensions

Research in religion and health has spurred new interest in measuring religiousness. Measurement efforts have focused on subjective facets of religiousness such as spirituality and beliefs, and less attention has been paid to congregate aspects, beyond the single item measuring attendance at services. We evaluate some new measures for religious experiences occurring during congregational worship services. Respondents (N = 576) were religiously diverse community-dwelling adults interviewed prior to cardiac surgery. Exploratory factor analysis of the new items with a pool of standard items yielded a readily interpretable solution, involving seven correlated but distinct factors and one index variable, with high levels of internal consistency. We describe religious affiliation and demographic differences in these measures. Attendance at religious services provides multifaceted physical, emotional, social, and spiritual experiences that may promote physical health through multiple pathways.     

Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time

Psychometrika - In this paper we study the statistical relations between three latent trait models for accuracies and response times: the hierarchical model (HM) of van der Linden (Psychometrika...     

Describing Trajectories of Homeless Service Use in Hawai‘i Using Latent Class Growth Analysis

The State of Hawai‘i, like many other areas across the United States, has large numbers of individuals and families experiencing homelessness, many of whom seek support through statewide shelters and services. This study explored the diversity of ways in which individuals and families moved through Hawai‘i's homeless service system. Using administrative data, a cohort of new service users was tracked across time to trace the developmental trajectories of their homeless service use. The sample consisted of adults who had entered the service system for the first time in the fiscal year (FY) of 2010 (N = 4655). These individuals were then tracked through the end of FY 2014, as they used emergency shelter, transitional shelter, and outreach services. A latent class growth analysis was conducted and identified four distinct patterns of service use: low service use (n = 3966, 85.2%); typical transitional shelter use (n = 452, 9.7%); atypical transitional use (n = 127, 2.7%), and potential chronic service use (n = 110, 2.4%). Multinomial logistic regression models were then used to determine if select demographic, family, background experience (e.g., education, employment), or health variables were associated with class membership. The distinct profiles for class membership are discussed.     

Urban American Indian Youth Spirituality and Religion: A Latent Class Analysis

This article explores the interconnected spiritual, religious, and cultural worlds of the majority of American Indian (AI) youth who live in urban areas: their patterns of involvement in religion and Native spirituality and associated well‐being. Latent class analysis of data from 205 AI middle school students identified five distinctive classes using survey measures of religious affiliation, attendance at services, adherence to Christian and traditional spiritual beliefs, Native spirituality, and Native cultural practices. Two classes were Christian groups: one attending Christian churches and following Christian beliefs but uninvolved with Native beliefs, spirituality, or cultural practices; and a nominal Christian group affiliated with but not attending church and unattached to belief systems. Two groups followed Native beliefs and spiritual practices, one affiliated with the Native American Church and another unaffiliated with any church. The fifth, nonreligious group, had no religious affiliation, followed neither Christian nor traditional beliefs, and was uninvolved in Native spirituality and cultural practices. The two groups embracing AI spirituality reported better academic performance, more reservation contact, higher AI enculturation, and stronger bicultural orientations.     

当代西方宗教语言研究方法论分析(下)

三、生存论分析 当代西方宗教语言热中讨论的一个核心问题是怎样通过人类日常语言来谈论一个神圣的主题,即怎样谈论上帝的问题.由于宗教语言的独特性,借助于日常语言去谈论上帝必然引起一系列理论难题.在当代寻求克服这类理论难题的方法论努力中,一个最引人注目的贡献就是由布尔特曼(Rudolf Bultmann)提出继而被奥托(Rudolf Otto)、埃伯林(Gerhard Ebeling)、富克斯(Emst Frchs)等人发扬光大的生存论分析.     

Political Conservatism and Left–Right Orientation in 28 Eastern and Western European Countries

The relationship between political conservatism and left–right orientation was examined in 15 Western European and 13 former communist Central and Eastern European countries using the data from European Social Survey Round 3 (N = 46,103) and Round 4 (N = 50,601). Cross‐culturally validated values were used to measure the two potential aspects of conservatism: resistance to change and acceptance of inequality. Both of these aspects were positively related to right‐wing orientation in Western countries. In the former communist countries, the relationships were positive, negative, and nonexistent; they differed between the countries and varied between 2006 and 2008. The results indicate that conservatism can be related to left‐wing or right‐wing orientation depending on the cultural, political, and economic situation of the society in question. The results also show that despite the shared communist past, former communist Central and Eastern Europe is a diverse region that should be treated as such also in research.     

当代西方宗教语言研究方法论分析(上)

从20世纪50、60年代开始,西方学术界出现了一股宗教语言研究热潮,综观当代西方宗教语言研究的现状,尽管研究者在理论立场和学术观点上尚存较大分歧,但也表现出一种相同的学术旨趣,即注重方法论的反思与构建.笔者认为,这种旨趣无论是对于我们寻求合理的哲学方法去解开宗教语言之谜,还是对历史唯物主义的宗教哲学研究来说,都有其值得借鉴的意义.当代西方宗教语言研究方法经历了语义分析、功能分析、生存论分析以及生存论-本体论分析的嬗变过程,这四种分析方法主要以分析哲学、存在主义现象学和解释学为方法论基础,是把现代西方哲学的"语言学转向"之后出现的语言哲学运用于宗教语言研究的逻辑产物.