This paper provides theoretical and practical information about using structural equation modeling (SEM) techniques. The first section discusses the theory of SEM, including five general steps: (1) model specification; (2) model identification; (3) model estimation; (4) testing model fit; and (5) model respecification. The second section applies these steps to an empirical example using data from a Federal Emergency Management Agency study of the effectiveness of stress debriefings. (Contains 4...

Topics: ERIC Archive, Structural Equation Models, Theory Practice Relationship, Baloglu, Mustafa

The effect of bootstrapping was studied by examining whether major profile patterns were replicated when sample sizes were reduced. Profile patterns estimated from the original sample (n=645) of the Wechsler Preschool and Primary Scale of IntelligenceThird Edition (WPPSI-III) Standardization Data were considered major profiles. For bootstrapping, the original sample was reduced to n=50, n=25, and n=20. From each reduced sample, profile patterns were extracted and compared to the major profile...

Topics: ERIC Archive, Profiles, Sample Size, Structural Equation Models, Kim, Se-Kang

This paper, in a fashion easy to follow, illustrates the interesting relationship between structural equation modeling and canonical correlation analysis. Although computationally somewhat inconvenient, representing canonical correlation as a structural equation model may provide some information which is not available from conventional canonical correlation analysis. Hierarchically, with regard to the degree of generality of the techniques, it is suggested that structural equation modeling...

Topics: ERIC Archive, Comparative Analysis, Correlation, Mathematical Models, Research Methodology,...

This study investigated the benefits of creating item "testlets" or "parcels" in the context of structural equation modeling confirmatory factor analysis (CFA). Testlets are defined as groups of items related to a single content area that is developed as a unit. The strategy is illustrated using data from the administration of the Personal Preferences Self-Description Questionnaire (PPSDQ-78). Testlets or item "parcels" were empirically created by combining items...

Topics: ERIC Archive, Statistical Distributions, Structural Equation Models, Test Construction, Thompson,...

A simulation study compared three methods of estimating parameters within structural equation models (SEM) with polytomous variables. These methods appear in three SEM computer software packages: (1) LISREL (Joreskog and Sorbom, 1996) with PRELIS (Joreskog and Sorbom); (2) EQS (Bentler, 1995); and (3) the new Mplus (Muthen and Muthen, 1998). The differences in parameter estimation accuracy were evaluated by manipulating sample size, exogenous and endogenous factors with polytomous indicator...

Topics: ERIC Archive, Computer Software, Estimation (Mathematics), Simulation, Structural Equation Models,...

A general linear model (GLM) framework is used to suggest that structure coefficients ought to be interpreted in structural equation modeling confirmatory factor analysis (CFA) studies in which factors are correlated. The computation of structure coefficients in explanatory factor analysis and CFA is explained. Two heuristic data sets are used to make the discussion concrete, illustrating the calculation of pattern and structure coefficients in LISREL CFA studies investigating scores on ability...

Topics: ERIC Archive, Ability, Correlation, Heuristics, Mathematical Models, Scores, Self Concept,...

A case is made for representing quantitative methods in use in the social sciences within a unified framework based on structural equation methodology (SEM). Most of the methods now in use are shown in their SEM representation. It is suggested that the visual and verbal representations of SEM are of most use, while specific estimation and hypothesis testing methods play a lesser role. The change to a common verbal and visual representation for quantitative methods allows better understanding of...

Topics: ERIC Archive, Educational Research, Research Methodology, Social Science Research, Structural...

Research questions that test the interaction between either categorical variables or multiplicative expressions are commonly found in multiple regression and analysis of variance applications. In contract, research questions posing an interaction between observed variables in a path analytic model are not commonly found in the literature. This is due in part to some of the issues and problems that arise in relational path models. Path models with latent variables also pose problems for the...

Topics: ERIC Archive, Computer Software, Computer Software Development, Interaction, Path Analysis,...

Mendeley Climate Change Library

41
41

Jul 6, 2019
07/19

by
Jérémy Puissant; Konstantin Gavazov; Sebastien De Danieli; Thomas Spiegelberger; Robert Griffiths; Alexandre Buttler; Jean Jacques Brun; Lauric Cécillon

texts

#
eye 41

#
favorite 0

#
comment 0

In mountain ecosystems with marked seasonality, climate change can affect various processes in soils, potentially modifying long-term key soil services via change in soil organic carbon (C) storage. Based on a four-year soil transplantation experiment in Swiss subalpine grasslands, we investigated how imposed climate warming and reduced precipitation modified the drivers of soil carbon enzyme potential activities across winter and summer seasons. Specifically, we used structural equation models...

Topics: Climate manipulation, Path analysis, Recalcitrance, Soil microbial communities, Soil organic matter...

In this paper the binomial index of model fit is applied to four path-analytic or structural-equation models to demonstrate how this goodness-of-fit measure can be used and interpreted. In addition, the conclusions derived from the results of the binomial index of goodness of fit were compared to the statements presented by the authors of the reviewed articles regarding the goodness of fit of the models, which were based on traditional goodness-of-fit indexes. The goodness-of-fit statements...

Topics: ERIC Archive, Goodness of Fit, Heuristics, Path Analysis, Research Methodology, Statistical...

This paper asserts that causality is an intriguing but controversial topic in philosophy, statistics, and educational and psychological research. By supporting the Causal Markov Condition and the faithfulness condition, Clark Glymour attempted to draw causal inferences from structural equation modeling. According to Glymour, in order to make causal interpretations of no experimental data, the researcher must do some type of manipulation, rather than conditioning, of variables. The Causal Markov...

Topics: ERIC Archive, Causal Models, Markov Processes, Probability, Statistical Inference, Structural...

This paper illustrates the differences in inference that can be seen when traditional and multilevel structural equation modeling techniques are applied to hierarchical data. Research on faculty is an area in which multilevel data exist, and where previous research generally has not modeled the nested structure. Using data from the National Study of Postsecondary Faculty (NSPOF), this paper demonstrates a method for analyzing data that contain measurement error and come from multilevel...

Topics: ERIC Archive, College Faculty, Higher Education, Structural Equation Models, Stapleton, Laura M.,...

This paper reviews the theoretical background, optimal levels, strengths, weaknesses, and additional considerations of the most frequently used structural equation modeling (SEM) fit statistics in an effort to enable researchers to make better, more informative judgments regarding their models. Fit indices evaluate model fit for the data being examined. Models demonstrate overall fit and the local fit of individual parameters. Some of the commonly used fit indices discussed are: (1) chi...

Topics: ERIC Archive, Chi Square, Goodness of Fit, Structural Equation Models, Smith, Tracy D., McMillan,...

This paper provides an introduction to basic issues concerning structural equation modeling (SEM), a research methodology increasingly being used in social science research. First, seven key issues that must be considered in any SEM analysis are explained. These include matrix of associations to analyze, model identification, parameter estimation theory, multivariate normality, model misspecification and specification searches, sample size, and measurement model adequacy. Second, heuristic SEM...

Topics: ERIC Archive, Mathematical Models, Research Methodology, Social Science Research, Statistical...

Latent-class item response models with small numbers of latent classes are quite competitive in terms of model fit to corresponding item-response models, at least for one- and two-parameter logistic (1PL and 2PL) models. Provided that care is taken in terms of computational procedures and in terms of use of only limited numbers of latent classes, computations are relatively simple in the case of latent classes.

Topics: ERIC Archive, Item Response Theory, Computation, Probability, Structural Equation Models, Licensing...

Mendeley Climate Change Library

46
46

Jul 5, 2019
07/19

by
Hongqin Li; Jingbin Zhu; Fawei Zhang; Huidan He; Yongsheng Yang; Yingnian Li; Guangmin Cao; Huakun Zhou

texts

#
eye 46

#
favorite 1

#
comment 0

Large uncertainties exist in carbon-water-climate feedbacks in cold regions, partly due to an insufficient understanding of the simultaneous effects of climatic and biotic controls on water and carbon dynamics. The 10-year growing season flux data were analyzed to evaluate the relative contributions of climatic and biotic effects on the variability of water vapor (ET) and net ecosystem CO 2 (NEE) exchanges over a humid alpine deciduous shrubland on the northeastern Qinghai-Tibetan Plateau. The...

Topics: Biotic controls, Eddy covariance techniques, Evapotranspiration, Humid alpine shrubland, Net...

Curriculum-based measurement (CBM) is a system of assessment used to screen for students at risk for poor learning. CBM benchmark screening assessments are typically administered to all students in the fall, winter, and spring, and these data are frequently used by researchers to model and perhaps explain within-year growth. Modeling growth with three time points involves distinct choices in the functional form of growth that can be modeled as well as the parameters that can be estimated....

Topics: ERIC Archive, Curriculum Based Assessment, Statistical Analysis, Growth Models, Structural Equation...

D. B. Rubin's model for causal inference in experiments and observational studies is enlarged to analyze the problem of "causes causing causes" and is compared to path analysis and recursive structural equations models. A special quasiexperimental design, the encouragement design, is used to give concreteness to the discussion by focusing on the simplest problem that involves both direct and indirect causation. Encouragement designs involve both randomization and self-selection as...

Topics: ERIC Archive, Causal Models, Observation, Path Analysis, Quasiexperimental Design, Selection,...

This simulation study focused on the power of detecting group differences in linear growth trajectory parameters within the framework of structural equation modeling (SEM) and compared this approach with the more traditional repeated measures analysis of variance (ANOVA) approach. Three broad conditions of group differences in linear growth trajectory were considered. SEM latent growth modeling consistently showed higher statistical power for detecting group differences in the linear growth...

Topics: ERIC Archive, Analysis of Variance, Groups, Power (Statistics), Sample Size, Simulation,...

Problem Statement: While the concept of professional self-efficacy corresponds to the power and belief employees feel related to tasks they are performing, motivation can be defined as the internal energy which shapes work related behaviors of employees positively. Although there are many features that teachers and candidate teachers must have, the self-efficacy perception and the motivation to learning and teaching are two significant concepts that make teaching profession valuable....

Topics: ERIC Archive, Self Efficacy, Teacher Motivation, Lifelong Learning, Preservice Teachers, Structural...

This paper illustrates first how estimated Structural Equation Modeling (SEM) measurement error variances are actually estimates of score reliabilities. The major advantage of SEM over other analytic methods is that it accounts for measurement error. Score reliabilities are estimated as part of structural modeling, so that structural models test both substantive hypothesis and measurement models. The paper also demonstrates how changing the estimated reliabilities of the SEM observed variables...

Topics: ERIC Archive, Error of Measurement, Estimation (Mathematics), Reliability, Scores, Structural...

Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs are powerful statistical modelling tools but they can mainly be used for exploratory modelling. Moreover, the output generated from ANNs cannot be fully translated into a meaningful set of rules because...

Topics: ERIC Archive, Prediction, Statistical Analysis, Structural Equation Models, Academic Achievement,...

This paper describes structural equation modeling (SEM) in comparison with another overarching analysis within the general linear model (GLM) analytic family: canonical correlation analysis. The uninitiated reader can gain an understanding of SEM's basic tenets and applications. Latent constructs discovered via a measurement model are explored and the structural models that "connect" latent constructs are described. In addition to reviewing SEM constructs, the paper uses the analysis...

Topics: ERIC Archive, Correlation, Equations (Mathematics), Heuristics, Least Squares Statistics,...

The standard two-wave multiple-indicator model (2WMIM) commonly used to analyze test-retest data provides information at both the group and item level. Furthermore, when applied to binary and graded item responses, it is related to well-known item response theory (IRT) models. In this article the IRT-2WMIM relations are used to obtain additional information for each individual respondent. Procedures are proposed for (a) obtaining individual estimates of trait levels and amount of change, and...

Topics: ERIC Archive, Item Response Theory, Structural Equation Models, Goodness of Fit, Statistical...

Monte Carlo simulation compared chi-square statistics, parameter estimates, and root mean square error of approximation values using normal and elliptical estimation methods. Three research conditions were imposed on the simulated data: sample size, population contamination percent, and kurtosis. A Bentler-Weeks structural model established the relationship between the sample variance-covariance matrix and the specified population model. The elliptical generalized least squares estimation...

Topics: ERIC Archive, Chi Square, Comparative Analysis, Estimation (Mathematics), Monte Carlo Methods,...

Authenticity is a basic personality characteristic that has an important influence on both the psychological and social lives of individuals. Subjective vitality also assumes a facilitative role regarding positive mental health indicators. Therefore, the purpose of this study is to investigate the predictive role of authenticity on subjective vitality. The participants consisted of 329 university students who completed the Authenticity Scale as well as the Subjective Vitality Scale. The...

Topics: ERIC Archive, Personality Traits, Prediction, Structural Equation Models, Mental Health,...

Structural equation modeling has become increasingly popular as a technique for the analysis of non-experimental data in the social sciences. This increase can be traced in part to the development of computer programs that facilitate structural equation modeling. The Linear Structural Relations (LISREL) program is the most widely used tool for implementing structural equation models. LISREL is applicable across a wide range of study, but is most useful in analyzing social science data. Some...

Topics: ERIC Archive, Computer Software Reviews, Data Interpretation, Goodness of Fit, Mathematical Models,...

The purpose of this study is to investigate the impact of university students' level of alienation on their general satisfaction. The study was carried out using rational screening model. The total participants of this study were 551 Dicle University students, studying at Medical, Technology, and Ziya Gökalp Education Faculty departments. The "alienation" and "general satisfaction" scales were used in data collection process. The collected data were analyzed by structural...

Topics: ERIC Archive, Foreign Countries, College Students, Student Satisfaction, Alienation, Structural...

This study aims to examine the relationships between subdimensions of anxiety sensitivity and anxiety. The participants in the study were 841 undergraduate students (411 females; 430 males) randomly selected from three different faculties--Faculties of Technical Education, Education, and Sport Sciences--at Mugla Sitki Kocman University. Data collection instruments included the Anxiety Sensitivity Index-Revised, (ASI-R), and also Beck Anxiety Inventory, (BAI). The data were analyzed using...

Topics: ERIC Archive, Anxiety, Anxiety Disorders, Undergraduate Students, Foreign Countries, Adolescents,...

This paper presents a discussion of various statistical concepts and techniques in light of two propositions. The first is that researchers need to select analytical techniques that prevent them from committing Type VI errors, which are inconsistencies between the research question and the statistical analysis. The second is that many statistical techniques are interrelated on a conceptual level. In addition, a list of resources is presented to assist researchers who want to pursue a more...

Topics: ERIC Archive, Multivariate Analysis, Research Design, Research Methodology, Statistical Analysis,...

The purposes of this study were to examine the relationship between emotional intelligence as measured by the Emotional Intelligence Inventory (EQI) (M. Tapia and J. Burry-Stock, 1998) and intelligence as measured by the Otis-Lennon School Ability Test (OLSAT). Other comparisons included measures of verbal and mathematics scores on the Preliminary Scholastic Assessment Test (PSAT), grade point average (GPA), and the demographic variables of ethnicity, gender, and levels of education of parents....

Topics: ERIC Archive, Academic Achievement, Emotional Intelligence, Foreign Countries, High School...

This study empirically investigated bootstrap bias estimation in the area of structural equation modeling (SEM). Three correctly specified SEM models were used under four different sample size conditions. Monte Carlo experiments were carried out to generate the criteria against which bootstrap bias estimation should be judged. For SEM fit indices, bias estimates from the bootstrap and Monte Carlo experiments were quite comparable in most cases. It is noted that bias was constrained in one...

Topics: ERIC Archive, Estimation (Mathematics), Goodness of Fit, Monte Carlo Methods, Sample Size,...

A Monte Carlo simulation study was conducted to investigate the effects of sample size, estimation method, and model specification on structural equation modeling (SEM) fit indices. Based on a balanced 3x2x5 design, a total of 6,000 samples were generated from a prespecified population covariance matrix, and eight popular SEM fit indices were studied. Two primary conclusions were suggested. First, for misspecified models, some fit indices appear to be noncomparable in terms of the information...

Topics: ERIC Archive, Estimation (Mathematics), Goodness of Fit, Mathematical Models, Monte Carlo Methods,...

This study was designed to explain how Profile Analysis via Multidimensional Scaling (PAMS) could be viewed as a structural equations model (SEM). The study replicated the major profiles extracted from PAMS in the context of the latent variables in SEM. Data involved the Basic Theme Scales of the Strong Campbell Interest Inventory (Campbell and Hanse, 1985). Data were collected from 1,308 males, who were clients of a vocational assessment clinic. Findings show that the profile patterns...

Topics: ERIC Archive, Adults, Factor Analysis, Factor Structure, Interest Inventories, Multidimensional...

The results of IEA (The International Association for the Evaluation of Educational Achievement) PIRLS 2006 (Progress in International Reading Literacy Study) has showed that Latvia has the 6th largest gender gap in reading literacy scores and that is an indication of a serious problem of education in this country. The purpose of the paper is to find out reasons behind boys' low achievement to help improve their reading literacy. The proposed hypothesis is that boys and girls are differently...

Topics: ERIC Archive, Reading Achievement, Gender Differences, Context Effect, Educational Environment,...

The influence of method of handling missing data on estimates produced by a structural equation model of the effects of part-time work on high-school student achievement was investigated. Missing data methods studied were listwise deletion, pairwise deletion, the expectation maximization (EM) algorithm, regression, and response pattern. The 26 variables selected from the National Educational Longitudinal Survey of 1988 database were those previously used by K. Singh and M. Ozturk (1999) in an...

Topics: ERIC Archive, Academic Achievement, High School Students, High Schools, Regression (Statistics),...

The aim of this study is to develop and test a subjective well-being model for adolescents in high school. A total of 326 adolescents in high school (176 female and 150 male) participated in this study. The data was collected by using the general needs satisfaction questionnaire, which is for the adolescents' subjective well-being, and determining life goals questionnaire. The structural equation modeling method was used for analysis of the data. The results of the analysis showed that in the...

Topics: ERIC Archive, High School Students, Structural Equation Models, Well Being, Adolescents, Measures...

In this study, the relationship between attitudes of pedagogical formation program pre-service teachers towards teaching profession and their self-efficacies has been examined. In this case, the effect of graduation branches of the pre-service teachers on teacher self-efficacies and the effect of teacher self-efficacies on attitudes towards teaching profession have been investigated. From this aspect, this research has the characteristics of causal-comparative research. Being suitable for the...

Topics: ERIC Archive, Teacher Attitudes, Self Efficacy, Preservice Teachers, Foreign Countries, Teaching...

This research aims to determine the effect of tasks and egos of taekwondo athletes on the coach-athlete relationship and the effect of coach-athlete relationship on motivation in sports. Thus, "Coach-Athlete Relationship", "Task and Ego Orientation in Sports" and "Motivation in Sports" scales have been applied to the national team athletes attending the championship. The relational screening model which reveals the relationship between variables has been used in...

Topics: ERIC Archive, Athletics, Athletes, Athletic Coaches, Interpersonal Relationship, Motivation,...

This study examined the relationships among burnout, academic achievement, and self-regulation with two structural models. The participants were 383 undergraduates with different majors in a university in the western part of Turkey. The results showed that academic achievement was negatively associated with three dimensions of burnout and was positively associated with self-regulation. The results also confirmed that cynicism fully mediated the effect of emotional exhaustion on academic...

Topics: ERIC Archive, Foreign Countries, Undergraduate Students, Burnout, Academic Achievement, Self...

The objective of this study is to investigate the influences of moral, emotional and adversity quotient on good citizenship of Rajabhat University's students in Northeastern Region of Thailand. The samples included 1,087 undergraduate students from 8 different Rajabhat universities. Data analysis was conducted in descriptive statistics and structural equation model. The results revealed that the adversity quotient and moral quotient had a positive direct effect on good citizenship with the...

Topics: ERIC Archive, Foreign Countries, Undergraduate Students, Citizenship, Influences, Statistical...

During adolescence, it can be very stressful for young men and women to accept their bodies. However, it is important during this stage of their development to accept their body as it is. If they cannot complete this task successfully, young people may experience stress and anxiety. This study aims to investigate the mediating effects of body appreciation on the relationship between the self-confident approach and social appearance anxiety of Turkish female and male university students....

Topics: ERIC Archive, Foreign Countries, Self Esteem, Coping, Anxiety, Physical Characteristics, College...

The interview process was studied to uncover the relationship of expertise in psychotherapy to the likelihood of accurate diagnosis. Experience and training affect the number of diagnostic questions clinicians ask as compared to personal, family, social, occupational, and history questions; and this in turn affects the accuracy of the diagnoses offered. Psychologists and psychology graduate students (N=138) interacted with an artificial-intelligence program that simulated a date-rape client's...

Topics: ERIC Archive, Artificial Intelligence, Clinical Diagnosis, Clinical Experience, Clinical...

As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from experimental studies using structural equation modeling (SEM) procedures that can formulate and test theories regarding how interventions affect observed...

Topics: ERIC Archive, Structural Equation Models, Educational Technology, Educational Research,...

This study used structural equation modeling and multilevel modeling approaches for purposes of simultaneous study of individual and group change patterns on three waves of two longitudinally assessed domains. This study illustrates a few of the dual approaches to the analysis of covariance structures as they relate to the same individual growth model and the same data. LISREL (structural equation modeling) and hierarchical linear modeling (HLM) were used. The investigation studied whether...

Topics: ERIC Archive, Academic Achievement, Achievement Gains, Black Students, Elementary Education,...

This study aims, in line with PISA (Programmes for International Students' Achievement Evaluation) 2006, at constructing a structural equation model between variables considered to be associated with 15 year old Turkish students' science achievement scores and their responses to students questionnaire. In this sense, this is a relational research study. In data analysis, having identified the observed variables and the covered variables, the variables thought to predict science achievement and...

Topics: ERIC Archive, Structural Equation Models, Science Achievement, Academic Achievement, Foreign...

The impact of the use of data arising from balanced incomplete block (BIB) spiralled designs on the chi-square goodness-of-fit test in factor analysis is considered. Data from BIB designs posses a unique pattern of missing data that can be characterized as missing completely at random (MCAR). Standard approaches to factor analyzing such data rest on forming pairwise available case (PAC) correlation matrices. Developments in statistical theory for missing data show that PAC correlation matrices...

Topics: ERIC Archive, Chi Square, Computer Simulation, Correlation, Factor Analysis, Goodness of Fit,...

The purpose of this study is to test a theoretical model concerning the role of self-esteem as a mediator between university students' automatic thoughts and their levels of hopelessness. The participants consisted of 338 students (197 females (58.3%) and 141 males (41.7%) from various departments at the Celal Bayar University. The research data was obtained by utilizing the Automatic Thoughts Scale, the Beck Hopelessness Scale, the Rosenberg Self-Esteem Scale, and a personal information form....

Topics: ERIC Archive, Role, Foreign Countries, Prediction, Psychological Patterns, Measures (Individuals),...

A Monte Carlo study was conducted to assess the effects of some potential confounding factors on structural equation modeling (SEM) fit indices and parameter estimates for both true and misspecified models. The factors investigated were data nonnormality, SEM estimation method, and sample size. Based on the fully crossed and balanced 3x3x4x2 experimental design with 200 replications in each cell division, a total of 14,400 samples were generated and fitted to SEM models with different degrees...

Topics: ERIC Archive, Estimation (Mathematics), Goodness of Fit, Mathematical Models, Monte Carlo Methods,...

The purpose of this study is to examine the relationship between work engagement and perceived organizational support and organizational climate. The present study, in which quantitative methods have been used, is carried out in the relational screening model. Perceived organizational support scale, organizational climate scale, and work engagement scale, which was adapted into Turkish, were used as measurement instruments. Structural equation modeling was used to analyze the data. The...

Topics: ERIC Archive, Organizational Climate, Statistical Analysis, Structural Equation Models, Elementary...