Portland State University

In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

The authors outline an updated paradigm for scale development that incorporates confirmatory factor analysis for the assessment of unidimensionality. Under this paradigm, item-total correlations and exploratory factor analysis are used to provide preliminary scales. The unidimensionality of each scale then is assessed simultaneously with confirmatory factor analysis. After unidimensional measurement has been acceptably achieved, the reliability of each scale is assessed. Additional evidence for construct validity beyond the establishment of unidimensionality then can be provided by embedding the unidimensional sets of indicators within a nomological network defined by the complete structural model.

On the basis of a new model of motivation, we examined the effects of 3 dimensions of teacher (n = 14) behavior (involvement, structure, and autonomy support) on 144 children's (Grades 3-5) behavioral and emotional engagement across a school year. Correlational and path analyses revealed that teacher involvement was central to children's experiences in the classroom and that teacher provision of both autonomy support and optimal structure predicted children's motivation across the school year. Reciprocal effects of student motivation on teacher behavior were also found. Students who showed higher initial behavioral engagement received subsequently more of all 3 teacher behaviors. These findings suggest that students who are behaviorally disengaged receive teacher responses that should further undermine their motivation. The importance of the student-teacher relationship, especially interpersonal involvement, in optimizing student motivation is highlighted. What are the factors that motivate children to learn? Educators and parents value motivation in school for its own sake as well as for its long-term contribution to children's learning and self-esteem. Highly motivated children are easy to identify: They are enthusiastic, interested, involved, and curious; they try hard and persist; and they actively cope with challenges and setbacks. These are the children who should stay in school longer, learn more, feel better about themselves, and continue their education after high school. Recent research has borne this out (Ames & Ames, 1984, 1985; Pintrich, 1991; Stipek, 1988). Although motivated students are easy to recognize, they are difficult to find. Research shows that across the preschool to high school years, children's intrinsic motivation decreases and they feel increasingly alienated from learning (Harter, 1981). Why is it so difficult to optimize student motivation? Decades of psychological and educational research

From analyzing 100 assessments of coping, the authors critiqued strategies and identified best practices for constructing category systems. From current systems, a list of 400 ways of coping was compiled. For constructing lower order categories, the authors concluded that confirmatory factor analysis should replace the 2 most common strategies (exploratory factor analysis and rational sorting). For higher order categories, they recommend that the 3 most common distinctions (problem- vs. emotion-focused, approach vs. avoidance, and cognitive vs. behavioral) no longer be used. Instead, the authors recommend hierarchical systems of action types (e.g., proximity seeking, accommodation). From analysis of 6 such systems, 13 potential core families of coping were identified. Future steps involve deciding how to organize these families, using their functional homogeneity and distinctiveness, and especially their links to adaptive processes.

OBJECTIVE: To conduct a randomized, controlled trial to evaluate the efficacy of the Early Start Denver Model (ESDM), a comprehensive developmental behavioral intervention, for improving outcomes of toddlers diagnosed with autism spectrum disorder (ASD). METHODS: Forty-eight children diagnosed with ASD between 18 and 30 months of age were randomly assigned to 1 of 2 groups: (1) ESDM intervention, which is based on developmental and applied behavioral analytic principles and delivered by trained therapists and parents for 2 years; or (2) referral to community providers for intervention commonly available in the community. RESULTS: Compared with children who received community-intervention, children who received ESDM showed significant improvements in IQ, adaptive behavior, and autism diagnosis. Two years after entering intervention, the ESDM group on average improved 17.6 standard score points (1 SD: 15 points) compared with 7.0 points in the comparison group relative to baseline scores. The ESDM group maintained its rate of growth in adaptive behavior compared with a normative sample of typically developing children. In contrast, over the 2-year span, the comparison group showed greater delays in adaptive behavior. Children who received ESDM also were more likely to experience a change in diagnosis from autism to pervasive developmental disorder, not otherwise specified, than the comparison group. CONCLUSIONS: This is the first randomized, controlled trial to demonstrate the efficacy of a comprehensive developmental behavioral intervention for toddlers with ASD for improving cognitive and adaptive behavior and reducing severity of ASD diagnosis. Results of this study underscore the importance of early detection of and intervention in autism.

Children’s sense of relatedness is vital to their academic motivation from 3rd to 6th grade. Children’s (n � 641) reports of relatedness predicted changes in classroom engagement over the school year and contributed over and above the effects of perceived control. Regression and cumulative risk analyses revealed that relatedness to parents, teachers, and peers each uniquely contributed to students ’ engagement, especially emotional engagement. Girls reported higher relatedness than boys, but relatedness to teachers was a more salient predictor of engagement for boys. Feelings of relatedness to teachers dropped from 5th to 6th grade, but the effects of relatedness on engagement were stronger for 6th graders. Discussion examines theoretical, empirical, and practical implications of relatedness as a key predictor of children’s academic motivation and performance.

This paper gives an overview of the value of ecosystem services of 10 main biomes expressed in monetary units. In total, over 320 publications were screened covering over 300 case study locations. Approximately 1350 value estimates were coded and stored in a searchable Ecosystem Service Value Database (ESVD). A selection of 665 value estimates was used for the analysis. Acknowledging the uncertainties and contextual nature of any valuation, the analysis shows that the total value of ecosystem services is considerable and ranges between 490 int$/year for the total bundle of ecosystem services that can potentially be provided by an ‘average’ hectare of open oceans to almost 350,000 int$/year for the potential services of an ‘average’ hectare of coral reefs. More importantly, our results show that most of this value is outside the market and best considered as non-tradable public benefits. The continued over-exploitation of ecosystems thus comes at the expense of the livelihood of the poor and future generations. Given that many of the positive externalities of ecosystems are lost or strongly reduced after land use conversion better accounting for the public goods and services provided by ecosystems is crucial to improve decision making and institutions for biodiversity conservation and sustainable ecosystem management.

This article examines several methodological issues associated with combining qualitative and quantitative methods by comparing the increasing interest in this topic with the earlier renewal of interest in qualitative research during the 1980s. The first section argues for the value of Kuhn’s concept of paradigm shifts as a tool for examining changes in research fields such as social science research methodology. The next two sections consider the initial rise of the “metaphysical paradigm” that justified the renewed interest in qualitative research and the subsequent problems that have encouraged efforts to replace that paradigm. The final section of the paper advocates a “pragmatic approach” as a new guiding paradigm in social science research methods, both as a basis for supporting work that combines qualitative and quantitative methods and as a way to redirect our attention to methodological rather than metaphysical concerns.

Using data from two different firms, this study tested a new construct, creative self-efficacy, tapping employees' belief) that they can be creative in their work roles. Results support the discriminant validity of the construct and indicate that job tenure, job self-efficacy, supervisor behavior, and job complexity contribute to creative efficacy beliefs. Creative self-efficacy also predicted creative performance beyond the predictive effects of job self-efficacy. Differences in results between white-collar and blue-collar samples suggest considerations for both theory and practice.

Over the past decade, focus groups and group interviews have reemerged as a popular technique for gathering qualitative data, both among sociologists and across a wide range of academic and applied research areas. Focus groups are currently used as both a self-contained method and in combination with surveys and other research methods, most notably individual, in-depth interviews. Comparisons between focus groups and both surveys and individual interviews help to show the specific advantages and disadvantages of group interviews, concentrating on the role of the group in producing interaction and the role of the moderator in guiding this interaction. The advantages of focus groups can be maximized through careful attention to research design issues at both the project and the group level. Important future directions include: the development of standards for reporting focus group research, more methodological research on focus groups, more attention to data analysis issues, and more engagement with the concerns of the research participants.

Abstract We create a new index that measures the extent of openness in capital account transactions. Despite the abundance of literature and policy analyses regarding the effect of financial liberalization, the debate is far from settled. One of the reasons for that outcome is the lack of proper ways of measuring the extent of the openness in cross-border financial transactions. We seek to remedy this deficiency by creating an index aimed at measuring the extensity of capital controls based on the information from the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER). This paper details how we construct the data and where our index stands in relation to the extant literature. Given the intricacy of capital controls policies and regulations, the exercise of quantifying the extent of financial openness remains a challenging task. Nonetheless, our index makes a substantial contribution in terms of its coverage of countries and time period; the data are available for 181 countries for the 1970–2005 period.

A study of 805 4th through 7th graders used a model of motivational development to guide the investigation of the internal dynamics of 4 indicators of behavioral and emotional engagement and disaffection and the facilitative effects of teacher support and 3 student self-perceptions (competence, autonomy, and relatedness) on changes in these indicators over the school year. In terms of internal dynamics, emotional components of engagement contributed significantly to changes in their behavioral counterparts; feedback from behavior to changes in emotion were not as consistent. Teacher support and students' self-perceptions (especially autonomy) contributed to changes in behavioral components: Each predicted increases in engagement and decreases in disaffection. Tests of process models revealed that the effects of teacher context were mediated by children's self-perceptions. Taken together, these findings suggest a clear distinction between indicators and facilitators of engagement and begin to articulate the dynamics between emotion and behavior that take place inside engagement and the motivational dynamics that take place outside of engagement, involving the social context, self-systems, and engagement itself.

This book describes the most important kinds of texts in English and introduces the methodological techniques used to analyse them. Three analytical approaches are introduced and compared, describing a wide range of texts from the perspectives of register, genre and style. The primary focus of the book is on the analysis of registers. Part 1 introduces an analytical framework for studying registers, genre conventions, and styles. Part 2 provides detailed descriptions of particular text varieties in English, including spoken interpersonal varieties (conversation, university office hours, service encounters), written varieties (newspapers, academic prose, fiction), and emerging electronic varieties (e-mail, internet forums, text messages). Finally, Part 3 introduces advanced analytical approaches using corpora, and discusses theoretical concerns, such as the place of register studies in linguistics, and practical applications of register analysis. Each chapter ends with three types of activities: reflection and review activities, analysis activities, and larger project ideas.

The Crystallography Open Database (COD), which is a project that aims to gather all available inorganic, metal-organic and small organic molecule structural data in one database, is described. The database adopts an open-access model. The COD currently contains ∼80 000 entries in crystallographic information file format, with nearly full coverage of the International Union of Crystallography publications, and is growing in size and quality.

Creativity is becoming a topic of ever‐increasing interest to organizational managers. Thus, there is a need for a greater understanding of the dynamics between the personal and contextual factors responsible for creative performance in work settings. In particular, there is a need to identify the role of leadership for creativity. Until now, creativity studies have examined leadership and employee characteristics from a single‐domain perspective. Data from 191 R&D employees of a large chemical company were used to test a multidomain, interactionist creativity model of employee characteristics, leader characteristics, and Leader‐Member Exchange (LMX). Results suggest that employee intrinsic motivation and cognitive style, LMX, the interactions between employee intrinsic motivation and leader intrinsic motivation, and between LMX and employee cognitive style relate to employee creative performance as measured by supervisor ratings, invention disclosure forms, or research reports. Implications for practicing managers and research on leadership and creativity are discussed.

An integrative framework, designed to organize the heterogeneous constructs related to "control", is based on 2 fundamental distinctions: (a) objective, subjective, and experiences of control; and (b) agents, means, and ends of control. The framework is used to analyze more than 100 terms, such as sense of control, proxy control, and primary control. It is argued that although many terms reflect aspects of perceived control (both distinct and overlapping), some are more usefully considered aspects of objective control conditions (e.g., contingency), potential antecedents of perceived control (e.g., choice), potential consequences (e.g., secondary control), sources of motivation for control (e.g., mastery), or other sources of motivation (e.g., autonomy). Implications for theory, measurement, research, and intervention are explored.

This article presents a motivational conceptualization of engagement and disaffection: First, it emphasizes children's constructive, focused, enthusiastic participation in the activities of classroom learning; second, it distinguishes engagement from disaffection, as well as behavioral features from emotional features. Psychometric properties of scores from teacher and student reports of behavioral engagement, emotional engagement, behavioral disaffection, and emotional disaffection were examined using data from 1,018 third through sixth graders. Structural analyses of the four indicators confirm that a multidimensional structure fits the data better than do bipolar or unidimensional models. Validity of scores is supported by findings that teacher reports are correlated with student reports, with in vivo observations in the classroom, and with markers of self-system and social contextual processes. As such, these measures capture important features of engagement and disaffection in the classroom, and any comprehensive assessment should include markers of each. Additional dimensions are identified, pointing the way to future research.

The authors tested a model of antecedents and outcomes of newcomer adjustment using 70 unique samples of newcomers with meta-analytic and path modeling techniques. Specifically, they proposed and tested a model in which adjustment (role clarity, self-efficacy, and social acceptance) mediated the effects of organizational socialization tactics and information seeking on socialization outcomes (job satisfaction, organizational commitment, job performance, intentions to remain, and turnover). The results generally supported this model. In addition, the authors examined the moderating effects of methodology on these relationships by coding for 3 methodological issues: data collection type (longitudinal vs. cross-sectional), sample characteristics (school-to-work vs. work-to-work transitions), and measurement of the antecedents (facet vs. composite measurement). Discussion focuses on the implications of the findings and suggestions for future research.

Cultural ecosystem services (ES) are consistently recognized but not yet adequately defined or integrated within the ES framework. A substantial body of models, methods, and data relevant to cultural services has been developed within the social and behavioral sciences before and outside of the ES approach. A selective review of work in landscape aesthetics, cultural heritage, outdoor recreation, and spiritual significance demonstrates opportunities for operationally defining cultural services in terms of socioecological models, consistent with the larger set of ES. Such models explicitly link ecological structures and functions with cultural values and benefits, facilitating communication between scientists and stakeholders and enabling economic, multicriterion, deliberative evaluation and other methods that can clarify tradeoffs and synergies involving cultural ES. Based on this approach, a common representation is offered that frames cultural services, along with all ES, by the relative contribution of relevant ecological structures and functions and by applicable social evaluation approaches. This perspective provides a foundation for merging ecological and social science epistemologies to define and integrate cultural services better within the broader ES framework.

Preface 1. Introduction: goals and methods of the corpus-based approach Part I. Investigating the Use of Language Features: 2. Lexicography 3. Grammar 4. Lexico-grammar 5. The study of discourse characteristics Part II. Investigating the Characteristics of Varieties: 6. Register variation and English for specific purposes 7. Language acquisition and development 8. Historical and stylistic investigations Part III. Summing Up and Looking Ahead: 9. Conclusion Part IV. Methodology Boxes: 10. Issues in corpus design 11. Issues in diachronic corpus design 12. Concordancing packages versus programming for corpus analysis 13. Characteristics of tagged corpora 14. The process of tagging 15. Norming frequency counts 16. Statistical measures of lexical associations 17. The unit of analysis in corpus-based studies 18. Significance tests and the reporting of statistics 19. Factor loadings and dimension scores Appendix: commercially available corpora and analytical tools References Index.