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.

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.

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.