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.     

Gender and Grade Differences in Latent Ability Variables

Scores in ability tests administered to students in grades 4–9 were simultaneously factor-analyzed within twelve gender by grade groups. Gender and grade differences in means and variances were studied for five latent ability factors according to a hierarchical model and compared with means and variances in the observed scores.
Girls had higher means than boys in a general ability factor (G), in a residual general speed factor (Gs') and in a residual factor of numerical facility (N'). Boys were higher in a residual vocabulary factor (V') and most of all in a residual spatial visualization factor (Vz'). Boys had larger variances than girls in N' and Gs'. In general the differences in means and variances were in the same direction for the closest corresponding observed scores, but some striking discrepancies between latent and observed scores were found. As a rule, the discrepancies were due to the complexity of the tests where one factor could compensate for another.
In the discussion it was pointed out that some of the differences found were likely to have changed between the testing in the late 1950s and the present. Nevertheless the demonstration of the divergence between analyses of latent vs. observed scores remains valid.     

Application of Latent Semantic Analysis to Divergent Thinking is Biased by Elaboration

Scoring divergent‐thinking response sets has always been challenging because such responses are not only open‐ended in terms of number of ideas, but each idea may also be expressed by a varying number of concepts and, thus, by a varying number of words (elaboration). While many current studies have attempted to score the semantic distance in divergent‐thinking responses by applying latent semantic analysis (LSA), it is known from other areas of research that LSA‐based approaches are biased according to the number of words in a response. Thus, the current article aimed to identify and demonstrate this elaboration bias in LSA‐based divergent‐thinking scores by means of a simulation. In addition, we show that this elaboration bias can be reduced by removing the stop words (for example, and, or, for and so forth) prior to analysis. Furthermore, the residual bias after stop word removal can be reduced by simulation‐based corrections. Finally, we give an empirical illustration for alternate uses and consequences tasks. Results suggest that when both stop word removal and simulation‐based bias correction are applied, convergent validity should be expected to be highest.     

Semantic networks of English.

Principles of lexical semantics developed in the course of building an on-line lexical database are discussed. The approach is relational rather than componential. The fundamental semantic relation is synonymy, which is required in order to define the lexicalized concepts that words can be used to express. Other semantic relations between these concepts are then described. No single set of semantic relations or organizational structure is adequate for the entire lexicon: nouns, adjectives, and verbs each have their own semantic relations and their own organization determined by the role they must play in the construction of linguistic messages.     

A Bayesian Solution to the Conflict of Narrowness and Precision in Direct Inference

The conflict of narrowness and precision in direct inference occurs if a body of evidence contains estimates for frequencies in a certain reference class and less precise estimates for frequencies in a narrower reference class. To develop a solution to this conflict, I draw on ideas developed by Paul Thorn and John Pollock. First, I argue that Kyburg and Teng’s solution to the conflict of narrowness and precision leads to unreasonable direct inference probabilities. I then show that Thorn’s recent solution to the conflict leads to unreasonable direct inference probabilities. Based on my analysis of Thorn’s approach, I propose a natural distribution for a Bayesian analysis of the data directly obtained from studying members of the narrowest reference class.     

A Latent Trait Analysis of the MMPI

Commonly used techniques for analyzing the structure of the MMPI scales were discussed and the use of a latent trait model was suggested as an alternative. The items on each scale of the MMPI were calibrated using a discrimination statistic. The item calibration statistics obtained from a replication sample were highly correlated with those obtained in the first sample. Poor fitting items were identified, and possible reasons for poor fits were discussed. The scales generally had few poor fits. The poor fitting items were generally those identified by Wiener (1956) as comprising the "subtle" subscales of the test.     

Gender Role Portrayals in American and Korean Advertisements

This article reports on an examination of gender role portrayals in American and Korean magazine advertisements that is based on the work of Erving Goffman (1979). Through a study of advertising images, we explored implied gender roles within and between cultures. Results of an analysis of a random sample of American advertisements are compared to results for comparable Korean magazines and to previous researchers' applications of Goffman's approach to American advertisements. Results indicate that sexism in American magazine advertisements has decreased but not disappeared. Evidence of sexism in Korean magazine advertisements was found as well. We also compared gender depictions in advertisements directed to magazine audiences of relatively different ages. Observations are made about differences in gender role portrayals in American advertisements over time, between cultures, and for different aged magazine readers.     

Teaching and Doing Gender in African American Families

In this article, based on in-depth interviews with a nonrandom sample of 35 African American parents (25 mothers and 10 fathers), I explore the gender socialization of children in their families. Using the conceptual framework advanced by multiracial feminism, I explore how both race and class shape the gender ideologies and behaviors of parents. The findings reveal significant support for teaching children gender role equality; however, that support is mediated by social class status (defined by education) and patterns of social mobility. In this study, 21 respondents were classified as middle-class and 14 as lower-income parents. Social class status predicts religiosity, homophobia, and structural factors that may militate against full support for gender equality or foster contradictions between ideology and behavior. The results show the role of Black parents as active agents in the lives of their children and expand our knowledge about child socialization processes in Black families. The study also contributes to multiracial feminist theory and the emerging literature on the growing social class diversity among African Americans.     

Effect of Grammatical Gender and Semantic Context on Lexical Access in Italian

The interacting effects of sentence context and grammatical gender on lexical access were investigated in Italian using a timed picture-naming paradigm. Results snowed large interacting effects of both sentence context and the gender of the article, with facilitation relative to two different control conditions. Repeat testing yielded an overall decrease in RT, but did not change the pattern of results. Results are interpreted in support of interactive activation models in which different sources of information are combined on-line to predict, anticipate or preactivate lexical targets.     

Inferring Gender from Handwriting in Urdu and English

Abstract

Handwriting samples in both English and Urdu from 30 donors were judged for masculinity-femininity by 25 judges (both judges and donors were adult Pakistanis, bilingual and literate in both Urdu and English). Inferences about gender were made reliably and accurately in both Urdu and English. Levels of accuracy (about 68%) were similar to those reported in studies of handwriting in English. Judged gender of handwriting was significantly stable across the two languages studied. These effects are relevant for the study of gender roles and gender stereotyping in assessment.     

Performing Gender: A Content Analysis of Gender Display in Music Videos

This study investigated differences in gender display by male and female performers in music videos. Goffman??s (1976) conceptual framework of gender display was refined and expanded upon as a basis for analyzing 12 nonverbal displays associated with subordination, domination, sexuality, and aggression in music videos by an equal number of male and female lead performers. 34 music videos on U.S. cable stations MTV and MTV2 were divided into 30-second segments, resulting in 253 units that were coded for gender display. Findings revealed that significant gender displays primarily reinforced stereotypical notions of women as sexual objects, and to a lesser degree, females as subordinate and males as aggressive. Implications of music videos?? portrayal of stereotypical gender displays and their role in the construction and maintenance of the gender status quo are discussed.     

A Unified Latent Curve,Latent State-Trait Analysis of the Developmental Trajectories and Correlates of Positive Orientation

The subgrouping strategy has been employed in a number of studies (Fredriksen &; Gilbert, 1960; Fredriksen &; Melville, 1964; Ghiselli, 1956; Klein, Rock &; Evans, 1968; Rock, Evans &; Klein, 1969; Malnig, 1969). In each of these studies it was shown that after partitioning a sample into g subgroups and performing a separate regression analysis within each group, one could identify one or more subgroups having a larger multiple correlation than the total sample regression. An important question is whether this type of result will be maintained under cross validation.     

A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence

Whether cognitive vulnerability to depression exists along a continuum of severity or as a qualitatively discrete phenomenological entity has direct bearing on theoretical formulations of risk for depression and clinical risk assessment. This question is of particular relevance to adolescence, given that cognitive vulnerability appears to coalesce and rates of depression begin to rise markedly during this period of development. Although a dimensional view is often assumed, it is necessary to submit this assumption to direct empirical evaluation. Taxometric analysis is a family of statistical techniques developed directly to test such assumptions. The present study applied taxometric methods to address this question in a community sample of early adolescents (n = 485), drawing on three indices of cognitive vulnerability to depression (i.e., negative inferential style, ruminative response style, self-referent information processing). The results of three taxometric analyses (i.e., mean above minus below a cut [MAMBAC], maximum eigenvalue [MAXEIG], and latent mode [L-Mode]) were consistent in unambiguously supporting a dimensional conceptualization of this construct. The latent structure of the tested indices of cognitive vulnerability to depression in adolescence appears to exist along a continuum of severity rather than as a discrete clinical entity.     

Latent Semantic Analysis Discriminates Children with Developmental Language Disorder (DLD) from Children with Typical Language Development

Journal of Psycholinguistic Research - Computer based analyses offer a possibility for objective methods to assess semantic-linguistic quality of narratives at the text level. The aim of the...     

Gender and the phonology of north American first names

This study elicited given and preferred first names from 222 females and 267 male respondents to investigate potential sex-associated features in the structural characteristics of names. Female given names were found to manifest significantly more sounds and syllables, more frequently vary the position of stressed syllable, and more often conclude in a vowel or sonorant sound than male names. In comparison with given names, both female and male preferred names moved in the direction of a potentially ideal structure consisting of a monosyllable that ends in a consonant. The rate of the shift was much less pronounced for female than for male preferred names.The authors would like to thank Bruce Boling for serving as reliability coder.     

Increasing Levels of Semantic Verbal Fluency in Elderly English Adults

ABSTRACT

Analyses incorporating large independent population-based samples and identical measures are needed to investigate recent trends in cognitive function. Nationally representative independent cohorts of community living individuals in England aged 65 years or older from the MRC Cognitive Function and Ageing Study in 1991 (n = 9458) and the English Longitudinal Study of Ageing in 2002 (n = 5196) were compared. East Cambridgeshire participants aged 65–69 years in 1991 (n = 680) were also compared to an independent cohort examined in 1996 (n = 600). Semantic verbal fluency, as measured by the animal naming neuropsychological test, increased by 1.1 extra words a minute in England between 1991 and 2002 (95% CI 0.9, 1.3). A similar increase was also observed in East Cambridgeshire. Levels of semantic verbal fluency appear to have increased in the older English population, which may help to buffer the aging population from future increases in dementia.     

A Latent Transition Analysis Model for Latent-State-Dependent Nonignorable Missingness

Psychologists often use latent transition analysis (LTA) to investigate state-to-state change in discrete latent constructs involving delinquent or risky behaviors. In this setting, latent-state-dependent nonignorable missingness is a potential concern. For some longitudinal models (e.g., growth models), a large literature has addressed extensions to accommodate nonignorable missingness. In contrast, little research has addressed how to extend the LTA to accommodate nonignorable missingness. Here we present a shared parameter LTA that can reduce bias due to latent-state-dependent nonignorable missingness: a parallel-process missing-not-at-random (MNAR-PP) LTA. The MNAR-PP LTA allows outcome process parameters to be interpreted as in the conventional LTA, which facilitates sensitivity analyses assessing changes in estimates between LTA and MNAR-PP LTA. In a sensitivity analysis for our empirical example, previous and current membership in high-delinquency states predicted adolescents’ membership in missingness states that had high nonresponse probabilities for some or all items. A conventional LTA overestimated the proportion of adolescents ending up in a low-delinquency state, compared to an MNAR-PP LTA.