AHPT 868: Research/ Scientific Inquiry II
               
Prerequisite: AHPT 829 or permission of the Department
               
Credit Hours: (2)
Research/ Scientific Inquiry II is the second in a sequence of research-based courses.
                                       The course will explore the concepts, problems, needs, and issues involved in conducting
                                       and evaluating research in physical therapy with an emphasis on the application and
                                       interpretation of statistical analyses.
Detailed Description of Course
This course is the second in a sequence of research-based courses. The course will
                                       explore the concepts, problems, needs, and issues involved in conducting and evaluating
                                       research in physical therapy. The nature, relevance, and application of qualitative
                                       and quantitative statistical analyses will be examined as they relate to research
                                       designs.  Assessment of interventions relevant to evidence-based practice will be
                                       emphasized. Students will demonstrate competencies in preparation for a scholarly
                                       capstone project as part the requirements for graduation.    
Detailed Description of Conduct of Course
Course content may be presented by lecture, small group discussion, student oral presentations,
                                       written examinations, and written class assignments.
Goals and Objectives of this Course
May require students to:
1) Define the basic terms of measurement theory; 2) Evaluate the basic requirements
                                       of measurement: data type, reliability validity, sensitivity specificity, reference
                                       norms, calibration, standardization; 3) Apply the different types of reliability:
                                       internal-consistency, intrarater reliability, interrater reliability, and test-retest
                                       reliability; 5) Describe the applications of the different types of validity: face
                                       validity, content validity, criterion-related validity (concurrent and predictive),
                                       and construct validity; 6) Describe the use of credibility, transferability, dependability,
                                       and confirmability in establishing trustworthiness of naturalistic research designs;
                                       7)   Be able to apply reference norms in the interpretation of data; 8) Outline the
                                       principles of calibration in instrumentation; 9) Perform instrument calibration; 10)
                                       Outline the purpose of population sampling in terms of bias, statistical analysis,
                                       and generalizing findings; 11) Discuss the different types of systematic sampling
                                       and the strengths/weaknesses of random sampling, systematic sampling, and stratified
                                       sampling; 12) Discuss the common nonsystematic sampling techniques and their strengths/weaknesses:
                                       disproportional sampling, cluster sampling, convenience sampling, quota sampling,
                                       purposive sampling, and snowball sampling; 13) Define false positives from the perspective
                                       of population distributions; 14) Describe the coding techniques for qualitative data;
                                       15) Describe and conduct common parametric statistics tests when they are appropriate
                                       for use (e.g,, t-tests, the analysis of variance, post-hoc comparisons, simple and
                                       multiple linear regression, logistic regression, multivariate analysis of variance,
                                       and factor analysis; 16) Describe and conduct the common non-parametric statistical
                                       tests when they are appropriate for use (e.g., the Sign Test, Wilcoxon Signed-Ranks
                                       Test, Mann-Whitney U, Kruskal-Wallis H;  Friedman test; and Chi-square tests of independence
                                       and association; 17) Identify clinically significant outcomes; 18) Understand the
                                       relationship among sample size, effect size, and probability level when determining
                                       the power of a study. 19) Become adept with the software used to conduct statistical
                                       analysis.
Assessment Measures
May include but are not limited to:
Examinations, written article critiques, research article presentations, and submission
                                       of a written research proposal
Other Course Information
None
Review and Approval
February 10, 2014