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Course Criteria
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2.00 Credits
Discusses theory, techniques, and processes in the teaching of MFT, including an examination of didactic and experiential techniques. Cross-listing: MFTH 519.
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2.00 Credits
Challenges of health care costs, childcare, reorganizing and downsizing organizations, managing cultural diversity, and equal employment opportunity. Responding to needs of families and employees through consistent and effective planning so that people become more productive and more satisfied with their lives at work and at home.
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2.00 Credits
Studies the structure, function, and changing patterns of families in society; the relationships between family problems and changes in society, and their impact on children.
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3.00 Credits
Studies the family from perspectives of psychology, anthropology, biology, history, politics, and religion. Investigates the major movements or moving forces in society that have influenced families living in the United States and elsewhere. Evaluates the important contemporary issues in families and presents theories of family functioning that inform therapeutic and educational interventions by professionals.
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2.00 Credits
Principles and practices relating to parent-child relationships. Emphasizes family roles, communication, conflict resolution, values development, and parenting-skill development.
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3.00 Credits
Systematic comparative analysis of the historical development, theoretical perspectives, types of programs, and research in family-life studies.
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2.00 Credits
Family-life Workshop
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4.00 Credits
Introduces regression analysis and analysis of variance (ANOVA), with emphasis on hypothesis testing and the development of general models that partition overall variability. Topics covered include simple and multiple regression, one-way and factorial, repeated-measures of ANOVA, and analysis of covariance. Evaluation and assumptions of nonparametic alternatives. Cross-listing: MFTH 601.
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4.00 Credits
Broad introduction using linear (matrix) algebra to maximize likelihood estimation generally, using several important multivariate statistical techniques, including but not limited to multivariate analysis of variance, multivariate regression, path analysis and structural equations causal modeling, log-linear models, and time series analysis; alternatives to maximum likelihood estimation are also evaluated. Prerequisite: MFTH 601 or FMST 601. Cross-listing: MFTH 602.
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4.00 Credits
An advanced course in multivariate statistics that includes topics such as multidimensional scaling, cluster analysis, factor analysis, path analysis, structural equations modeling, log-linear modeling, time-series analysis, and hierarchical linear models. Focuses on understanding these advanced techniques and their application to data analysis. Prerequisite: MFTH 602 or FMST 602. Cross-listing: MFTH 603.
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