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The Anxiety and Related Disorders Interview Schedule for DSM-5:
Adult Version (ADIS-5) is a structured interview designed to
diagnose current anxiety, mood, obsessive-compulsive, trauma, and
related disorders (e.g., somatic symptom, substance use) and to
permit differential diagnosis among these disorders according to
DSM-5 criteria (American Psychiatric Association, 2013). In most
diagnostic sections, the ADIS-5 also provides: (a) dimensional
assessment of the key and associated features of disorders; and (b)
inquiry to foster the functional analysis of the various disorders
(e.g., nature of situations avoided, content of fear cognitions).
The ADIS-5 contains screening questions for a variety of other
conditions including hoarding disorder, impulse control disorders,
eating disorders, attention deficit disorder, dissociative
disorders, and psychotic disorders. Other sections of the ADIS-5
include the assessment of episodic and ongoing life stress, medical
and psychiatric treatment history, and familial psychiatric
history.
With its emphasis on practical and conceptual aspects, rather than
mathematics or formulas, this accessible book has established
itself as the go-to resource on confirmatory factor analysis (CFA).
Detailed, worked-through examples drawn from psychology,
management, and sociology studies illustrate the procedures,
pitfalls, and extensions of CFA methodology. The text shows how to
formulate, program, and interpret CFA models using popular latent
variable software packages (LISREL, Mplus, EQS, SAS/CALIS);
understand the similarities and differences between CFA and
exploratory factor analysis (EFA); and report results from a CFA
study. It is filled with useful advice and tables that outline the
procedures. The companion website
(www.guilford.com/brown3-materials) offers data and program syntax
files for most of the research examples, as well as links to
CFA-related resources. New to This Edition *Updated throughout to
incorporate important developments in latent variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural
equation modeling, bifactor analysis, measurement invariance
evaluation with categorical indicators, and a new method for
scaling latent variables. *Utilizes the latest versions of major
latent variable software packages.
The Anxiety and Related Disorders Interview Schedule for DSM-5
(ADIS-5) Clinician Manual accompanies both the Adult and Lifetime
versions of the ADIS-5 Client Interview Schedules. The interview
schedules are designed to diagnose anxiety, mood,
obsessive-compulsive, trauma, and related disorders (e.g., somatic
symptom, substance use) and to permit differential diagnosis among
these disorders according to DSM-5 criteria (American Psychiatric
Association, 2013). The Clinician Manual provides information for
the clinician about uses of the ADIS-5, changes introduced in the
ADIS-5, coverage of the ADIS-5, organization of diagnostic
sections, how to administer the ADIS-5, and more.
With its emphasis on practical and conceptual aspects, rather than
mathematics or formulas, this accessible book has established
itself as the go-to resource on confirmatory factor analysis (CFA).
Detailed, worked-through examples drawn from psychology,
management, and sociology studies illustrate the procedures,
pitfalls, and extensions of CFA methodology. The text shows how to
formulate, program, and interpret CFA models using popular latent
variable software packages (LISREL, Mplus, EQS, SAS/CALIS);
understand the similarities and differences between CFA and
exploratory factor analysis (EFA); and report results from a CFA
study. It is filled with useful advice and tables that outline the
procedures. The companion website
(www.guilford.com/brown3-materials) offers data and program syntax
files for most of the research examples, as well as links to
CFA-related resources. New to This Edition *Updated throughout to
incorporate important developments in latent variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural
equation modeling, bifactor analysis, measurement invariance
evaluation with categorical indicators, and a new method for
scaling latent variables. *Utilizes the latest versions of major
latent variable software packages.
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