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Peer reviewedMulaik, Stanley A.; Millsap, Roger E. – Structural Equation Modeling, 2000
Defends the four-step approach to structural equation modeling based on testing sequences of models and points out misunderstandings of opponents of the approach. The four-step approach allows the separation of respective constraints within a structural equation model. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewedBollen, Kenneth A. – Structural Equation Modeling, 2000
Neither the four-step model nor the one-step procedure can actually tell whether the researcher has the right number of factors in structural equation modeling. In fact, for reasons discussed, a simple formulaic approach to the correct specification of models does not yet exist. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewedHayduk, Leslie A.; Glaser, Dale N. – Structural Equation Modeling, 2000
Replies to commentaries on the four-step approach to structural equation modeling, pointing out the strengths and weaknesses of each argument and ultimately concluding that the four-step model is subject to criticisms that can be addressed to factor analysis as well. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewedRuggiero, Kenneth J.; Morris, Tracy L.; Beidel, Deborah C.; Scotti, Joseph R.; McLeer, Susan V. – Assessment, 1999
Examined the discriminant validity of the State-Trait Anxiety Inventory for Children (C. Spielberger, 1973) and the Children's Depression Inventory (M. Kovacs, 1992) using a sample of 240 clinic-referred and non-clinic-referred children aged 8 to 14 years. Factor analysis yielded distinct factors of anxiety and depression. (SLD)
Descriptors: Adolescents, Anxiety, Children, Depression (Psychology)
McDonald, Roderick P. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The use of an independent clusters basis for restricted factor analysis can be recommended in cases where the known structure of a subset of variables serves to determine the structure of the remaining variables in the set. A comparison of this technique with an appropriate form of restricted factor analysis is illustrated on a large set of…
Descriptors: Factor Analysis, Depression (Psychology), College Students, Anxiety
Peer reviewedOtt, Carol H.; Cashin, Susan E.; Altekruse, Michael – Journal of American College Health, 2005
The authors report on the development and assessment of an instrument to measure baseline campus cigarette use and outcomes from prevention programs, including those using a social norms approach combined with environmental policy change. They administered the 37-item College Tobacco Survey (CTS) to a convenience sample of 1,279 college students…
Descriptors: Prevention, Urban Universities, Smoking, Norms
Peer reviewedDumenci, Levent; Erol, Nese; Achenbach, Thomas M.; Simsek, Zeynep – Journal of Abnormal Child Psychology, 2004
The new correlated 8-factor measurement structure of the Child Behavior Checklist for ages 6-18 (CBCL/6-18; T. M. Achenbach & L. A. Rescorla, 2001) derived from an American sample was used as a benchmark to evaluate its generalizability to Turkish general population (N = 5, 195) and clinical (N = 963) samples. Item-level confirmatory factor…
Descriptors: Psychometrics, Child Behavior, Check Lists, Factor Analysis
Peer reviewedAtherly, Adam; Kane, Robert L.; Smith, Maureen A. – Gerontologist, 2004
Purpose: The objective of this study is to develop an instrument to evaluate satisfaction with care for older adults in capitated environments. Although satisfaction with care is now widely accepted as an important outcome measure, there are relatively few satisfaction measures developed or validated on older persons. Because many older persons…
Descriptors: Validity, Family Involvement, Factor Analysis, Parent Participation
Lee, Sik-Yum; Song, Xin-Yuan; Skevington, Suzanne; Hao, Yua-Tao – Structural Equation Modeling, 2005
Quality of life (QOL) has become an important concept for health care. As QOL is a multidimensional concept that is best evaluated by a number of latent constructs, it is well recognized that latent variable models, such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are useful tools for analyzing QOL data. Recently,…
Descriptors: Questionnaires, Quality of Life, Factor Analysis, Structural Equation Models
Peer reviewedRosen-Grandon, Jane R.; Myers, Jane E.; Hattie, John A. – Journal of Counseling and Development, 2004
Structural Equation Modeling techniques were used to clarify the relationship between marital characteristics, marital processes, and the dependent variable--marital satisfaction--in a sample of 201 participants who were in 1st marriages. The Dyadic Adjustment Scale (DAS; G. B. Spanier, 1976) and the Enriching and Nurturing Relationship Issues,…
Descriptors: Interaction, Structural Equation Models, Factor Analysis, Marital Satisfaction
Bloch, George J.; Neeleman, Lori; Aleamoni, Lawrence M. – Assessment, 2004
High stress is known to affect health, but stress impact, determined by events and responses to them, has not been studied systematically. For the Salient Stressor Impact Questionnaire (SSIQ), the impact of events was assumed to depend on their salience and chronicity and the impact of responses on their chronicity and intensity with greater…
Descriptors: Measures (Individuals), Validity, Factor Analysis, Anxiety
Bishop, David I.; Hertenstein, Matthew J. – Educational and Psychological Measurement, 2004
This study examines the factor structure of scores on the English-language version of the Structure of Temperament Questionnaire. Scores from 300 college students were subjected to maximum-likelihood confirmatory factor analyses (CFA). A first-order model consisting of eight correlated factors and a second-order model consisting of two…
Descriptors: Questionnaires, Personality, Factor Analysis, Factor Structure
Lubke, Gitta H.; Muthen, Bengt O. – Structural Equation Modeling, 2004
Treating Likert rating scale data as continuous outcomes in confirmatory factor analysis violates the assumption of multivariate normality. Given certain requirements pertaining to the number of categories, skewness, size of the factor loadings, and so forth, it seems nevertheless possible to recover true parameter values if the data stem from a…
Descriptors: Likert Scales, Factor Analysis, Factor Structure, Multivariate Analysis
Longley, Susan L.; Watson, David; Noyes, Russell, Jr. – Psychological Assessment, 2005
Although hypochondriasis is associated with the costly use of unnecessary medical resources, this mental health problem remains largely neglected. A lack of clear conceptual models and valid measures has impeded accurate assessment and hindered progress. The Multidimensional Inventory of Hypochondriacal Traits (MIHT) addresses these deficiencies…
Descriptors: Construct Validity, Factor Analysis, Models, Psychosomatic Disorders
Rose, Clark C.; Glaser, Brian A.; Calhoun, Georgia B.; Bates, Jeffrey M. – Child and Family Behavior Therapy, 2004
The present study is a preliminary investigation into the development of a parent self-report instrument, the Juvenile Offender Parent Questionnaire (JOPQ). A large pool of items was rationally derived from a model of parent competency and then administered to 243 parents of children who were making appearances in juvenile court. Exploratory…
Descriptors: Self Efficacy, Juvenile Courts, Justice, Factor Analysis

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