Upper Division Courses

• RMET 396 Quantitative and Qualitative Methods in Research (3)
  This course will begin with an introduction to the philosophical base, a survey of different modes of inquiry. Using this philosophical base, a survey of different modes of inquiry both quantitative and qualitative will be studied using several examples from the disciplines within the College. Emphasis in the course will be placed on the students actively reading and critiquing research from a variety of disciplines as well as in developing a proposal for research study while working in interdisciplinary teams. (Offered every semester.)
  
• RMET 410 Introduction to Inferential Statistics (3)
  Survey of basic statistical methods including descriptive statistics, z- and t-test of means and proportions, chi-square analyses, correlational and regression analyses. Intended as possible terminal course for upper division undergraduates and as a background for graduate level courses in the program. (Offered every semester.)

Graduate Courses

• RMET 520 General Research Methods (3)
  Prerequisite: RM-G410. Survey of the techniques, methods and tools of research in the behavioral sciences and social sciences. General discussion of the research process followed by examination of several different study designs such as observational, experimental, descriptive and sample survey. Overview of different methods of data collection and analysis frequently used in research literature. (Offered every semester.)
  
• RMET 530 Applied Regression Models
  Offers comprehensive knowledge and skills of multiple regression models and logistic regression analysis. Emphasizes the application of techniques as well as detailed examination of model estimation and problem solutions. Students will analyze data sets using SPSS, and write results in journal format. Course covers partial correlation, incremental model change, dummy coding, nonlinear transformations, and path analysis. (Offered every Spring semester.)
  
• RMET 533 Assessment Methods in Counseling (3)
  Prerequisite: RM-G410 or an equivalent introductory inferential statistics course. Psychological tests and standardized methods of assessing interests, personality, aptitude, achievement and intelligence traits of individuals; attributes of tests; uses in school guidance, counseling, therapy and personnel work. The student will take, administer, score and interpret several different standardized tests. (Offered occasionally.)
  
• RMET 575 Intermediate Qualitative Research (3)
  Prerequisite: An introductory qualitative research course in the student's own discipline or permission of the Instructor. This course is designed as an intermediate course in qualitative research; that is, it is expected that students have already taken at least one course in qualitative research. The primary purpose of this course is to provide students with the skills needed to conduct qualitative research in their areas of interest. An additional goal is to provide students with reference materials that will be useful to them in their future work. (Offered every Spring semester.)
  
• RMET 580 Sample Survey Methods (3)
  Prerequisite: RM-G410 or an equivalent introductory inferential statistics course. Planning, execution, analysis and interpretation of sample surveys. Numerous examples of sample surveys are utilized to illustrate concepts. Topics covered include types of surveys, survey objectives, sampling frames, sampling procedures, instrumentation, practical and ethical issues in data collection, estimation procedures, and quantitative data analysis. Students will be required to participate in an actual survey project. (Offered Spring semester.)
  
• RMET 589 Reading Statistics in Research (3)
  Prerequisite: RM-G410 or the equivalent. Provides background in statistical techniques toward judging the legitimacy of an author's claims based upon statistical results. Focuses on understanding what a given technique accomplishes statistically, the types of conclusions which can be reached using a technique, and how the results are reported in research articles and dissertations. Studies from areas such as Education, Sociology, Public Policy Analysis, Hospital Administration, Nursing and Allied Health, Social Service, Business, Medicine, and Biology will be utilized. Course will aid both those reading research which uses statistics and those designing dissertations. (Offered occasionally.)
  
• RMET 593 Special Topics in Research Methodology (1-3)
  
• RMET 602 Application of Measurement Theories (3)
  This course offers students information on Psychometric Theories, centering on Classical Test Theory and Item Response Theory. Application of these theories in constructing and evaluating measures is presented, including Factor Analysis and Structural Equation Models. (Offered every Fall semester.)
  
• RMET 606 Nonparametric/Categorical Data Analysis (3)
  Prerequisite: RM-G410. Survey of some basic rank order nonparametric procedures and basic categorical data analytic methods. Reliability of instruments producing nominal and ordinal data is also discussed and an introduction to loglinear models to handle higher order contingency tables analysis is provided. Students will learn first hand computation of most of the techniques along with the corresponding computer analysis using SPSS. Emphasis placed on interpreting journal articles which use nonparametric methods. (Offered every Fall semester.)
  
• RMET 625 Analysis of Variance and Experimental Design (3)
  Prerequisite: RM-G410 or an equivalent introductory inferential statistics course. Consideration of analysis of variance hypothesis testing and confidence interval procedures for single and multiple independent variables. Designs and analyses to increase experimental precision and control extraneous variation are emphasized. (Offered every Fall semester and Summer.)
  
• RMET 650 Multivariate Statistical Analysis (3)
  Prerequisite: RM-G625. Discussion of multivariate statistical techniques with emphasis on applications (knowing when to use, setting up and interpreting computer programs, and interpreting journal article applications). Emphasis is on broad interpretative principles rather than on specific mathematical details. The techniques to be discussed include multiple regression, canonical correlation, principal components, factor analysis, discriminant function analysis, MANOVA, and MANCOVA. (Offered every Spring semester and Summer.)
  
• RMET 680 Structural Equation Modeling (3)
  Prerequisite: RM-G650. Study of techniques used to test causal models in correlational research. Begins with classical path analysis, then covers LISREL model to test causal and confirmatory factor analysis models using latent variables. Emphasis on applications, studying several reported applied research studies. Analyzing data sets using SPSS and writing up computer results in journal format. (Offered every other Fall semester.)
  
• RMET 693 Special Topics in Research Methodology (1-3)