Infant Mental Health Research & Statistics

Required (12 credits)

Credits

IMH 500

Critical Reading of Research Articles

This course is an overview of the process of understanding research articles with practice in evaluating scientific literature that is relevant to intervention with children with disorders of relating and communicating. The course combines lectures, reading materials and active group discussions to achieve its learning objectives.

1

IMH 501

Basic Research Design and Methodology

This course introduces students to basic concepts of research design, methods and statistics relevant to understanding and conducting research on clinical psychology and other health/mental health sciences, with special emphasis on infancy and early childhood mental health and developmental disorders. Students explore ethical considerations in the design and execution of research studies, including approaches to informed consent, specifically in regard to young children and their families. This course focuses primarily on quantitative methods, with limited exploration of qualitative approaches. The course uses several case studies to achieve its learning objectives.

2

IMH 502

Statistics I

This basic course reviews concepts in introductory statistics, including descriptive statistics, basic probability theory, sampling distributions and the Central Limit Theorem; the binomial, normal, Student, chi-square, and F distributions; and techniques of 1- and 2-sample tests, linear regression, correlation, an introduction to analysis of variance and selected nonparametric procedures. It discusses the application of these concepts by analyzing peer-reviewed articles focusing on Infant Mental Health and Developmental Disorders research.

2

IMH 503

Statistics II: Techniques of Data Analysis

This course introduces concepts in inferential statistics and builds on Statistics I (IMH 502) by reviewing more in depth how to apply the basic concepts acquired in the previous course for statistical analysis of data in the context of Infant Mental Health and Developmental Disorders research. It introduces to the use of computers for advanced data analysis (e.g., multiple regression, analysis of variance, factor analysis).

2

IMH 504

Basic Psychometrics

This course introduces students to psychometrics theory and test construction. It also introduces students to basic concepts of psychometric measurement, including concepts of instrument validity and reliability. The course practices and applies these concepts by constructing instruments during the course. 

2

IMH 508

Advanced Research Design and Methodology

This is an advanced class in designing, conducting and reporting research. The course focuses on giving students practical experience in various critical aspects of conducting scientific research.

2
IMH 509

Dissertation Seminar

This seminar offers students the opportunity to embark on the process of developing their dissertation project in a supportive, collaborative environment. In addition to exploring topics, methods, and resources, students develop a realistic timeline for completion of the project (including defense of the proposal and final dissertation document). Course goals include: selecting the dissertation topic, recruiting the dissertation committee chair, and completing a timeline based on initial project concept.

1

Electives (extra credits to fulfill the 14 required credits)

Credits

IMH 506

Research Grant Writing

This advanced elective course provides an opportunity to develop necessary competencies to apply for funding that would support research for infants and young children on topics related to mental health and/or developmental disorders.

2

IMH 507

An Introduction to Qualitative Research

his one-credit elective course in qualitative research will provide the student with a foundation for understanding the theory and methods of qualitative research design, data collection and analysis. Hands-on experiences will be used to illustrate the strengths and challenges of including ethnographic, focus group, structured and unstructured interviewing video/audiotape, and other approaches in empirical research and program evaluation activities. Evaluation will consist of several individual introductory data collection and/or analysis assignments, a short midterm test of concepts and methods, and a final small group project.

1


IMH 510

Introduction to Secondary Data Analysis

This course will introduce students to the practice of secondary data analysis, an approach to research using previously collected data to answer research questions beyond those for which the data was originally collected. Students will identify multiple sources of publicly available data (online and via request), propose research questions, and use statistical techniques such as multiple regression, ANOVA, and non-parametric procedures to test hypotheses arising from these research questions. Students will need access to SPSS or other data analysis tool of their choosing, such as R, SAS, or Excel. Some additional instruction in statistical methods will be provided, as well as support in using SPSS or Excel. Evaluation will consist of presentations by students