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Human Development & Family Science (HDFS)
HDFS 5043 Technical Writing in HDFS Description: Overview of writing in HDFS research. Topics will include literature reviews and APA formatting. Writing assignments will focus on conference abstracts/presentations, short and long literature reviews, empirical articles, and manuscript reviews. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5110 Directed Study in HDFS Prerequisites: HDFS 5253, HDFS 5293, HDFS 5513 or HDFS 5523 and consent of instructor. Description: Directed individual study in human development and family science. Offered for variable credit, 1-9 credit hours, maximum of 9 credit hours. Credit hours: 1-9 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Human Dev & Family Sci HDFS 5112 Computer Applications in HDFS Research Description: Creating variable codebooks, data coding, data entry, variable specifications and data manipulation, merging files, and basic analysis using SPSS software. No computer experience necessary. Previously offered as FRCD 5112. Credit hours: 2 Contact hours: Lecture: 2 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5123 Research Methods and Design in HDFS I Description: Research processes, design, methods, and program evaluation in human development and family science. Application of research tools and methods to investigate theoretical, empirically-based, or field-based research issues. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture
HDFS 5153 Policy in Human Development and Family Science Description: Critical analysis of approaches to and models of policy in Human Development and Family Science. Examination of policy analysis and evaluation, development, advocacy, and implementation of state and federal policy and legislation. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5160 Master's Creative Component Prerequisites: HDFS 5253, HDFS 5293, HDFS 5513 or HDFS 5523 or equivalent and consent of instructor. Description: Creative application of student's knowledge to solve a problem of interest in HDFS. Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours. Credit hours: 1-6 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5163 Master’s Capstone in HDFS Description: Development and implementation of a capstone project related to an area of human development and family science. Interfaces with field experience and involves the integration of theory, research, and application. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5173 Program Design, Implementation, and Evaluation in Human Development and Family Science Prerequisites: Online Section Admission to the HDFS Family and Community Services GPIDEA Graduate Program; Campus-based Section Admission to the HDFS Graduate Program or consent of instructor. Description: An exploration of the principles and methods of program design, implementation, and outcome evaluation of family and community programs. Previously offered as HDFS 5933. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci HDFS 5183 Practicum in Developmental and Family Sciences Research Prerequisites: Admission to graduate study in HDFS, nine hours of graduate credit in HDFS, and consent of instructor. Description: Supervised research experiences in human development and family sciences. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci
Department/School: Human Dev & Family Sci HDFS 5133 Research Methods in HDFS II Prerequisites: HDFS 5123.
Description: The steps involved in writing a research proposal, including writing a literature review, research goals, and hypotheses. Developing procedures and measures used to test the hypotheses. How to compute and interpret statistical analyses common to thesis projects (e.g., internal consistency, descriptive statistics, ANOVAs, correlations, and regressions). Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Human Dev & Family Sci
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