NURS 7373 Nursing: Quantitative Research Methods II

COURSE DESCRIPTION

This course presents modern and classical psychometrics for nursing science from the perspective of item response theory. Most of the course will cover classical test theory from the perspective of modern test theory. An introduction to binary item response theory will also be presented. The course will emphasize applications within the context of modern psychometric principles.

CREDIT AND TIME ALLOCATION

Credit Hour Allocation: 3 Semester Credit Hours
Clock Hour Allocation: 3 Clock Hours Class (45 hours class)

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PREREQUISITES

NURS 7325 Philosophy of Nursing Science
NURS 7226 Ethics of Nursing Science
NURS 7374 Nursing: Quantitative Research Methods I
NURS 7310 Theory Development, Analysis & Evaluation in Nursing
NURS 7380 Qualitative Inquiry for Clinical Nursing Research
NURS 7375 Regression Models in Nursing Science

Concurrent
NURS 7381 Nursing: Synthesis and Application of Clinical Research

PROGRAM OUTCOMES

Upon completion of the Doctor of Philosophy (PhD) in Nursing Program students will:

Advance the discipline of nursing through the generation of new knowledge and theory.
Demonstrate excellence as a clinical researcher in the health sciences in a focal area of nursing.
Synthesize theories from natural and/or behavioral sciences for application to a specified area of nursing.
Advance evidence-based clinical practice.
Assume nurse scientist roles within academic health centers and other health centers and other interdisciplinary health sciences and educational institutions.
Evaluate the value and knowlege components of philosophical and ethical dimensions of issues confronting healthcare and nursing.

COURSE OUTCOMES

Compare the philosophies of operational, instrumental, representational, and causal approaches to fundamental measurement.
Contrast the principles of classical, parallel, true-score, and congeneric test theory.
Distinguish among reliability, internal consistency, construct validity, and predictive utility.
Evaluate a research instrument according its published statistics.
Apply software for test development, item analysis, and assessment.
Apply software for assessing the structure of composite tests.
Develop and pilot-test an instrument for use in the student’s area of interest, or evaluate an instrument from secondary data analysis.

CLINICAL OUTCOMES

Apply SEM to research data appropriately.

GRADING SCALE FOR GRADUATE COURSES

A = 4 points (90-100)
B = 3 points (80-89)
C = 2 points (75-79)
D = 1 point (66-74)
F = 0 points (65 or below)

CRITERIA FOR EVALUATION / GRADES

50% Factor Analysis and Reliability Data Assignments
30% Written description and comparison of two instruments’ psychometric
properties and appropriateness for use
20% Article critiques of instrument development in scholarly publications

WRITTEN ASSIGNMENTS

If written assignments are made in a course they are required.
Students are expected to submit written work on the scheduled date and time.
The student must notify the course coordinator prior to the scheduled due date and time if they are unable to submit the written work as scheduled. Failure to make this notification in advance will result in a “zero” for that written work.
If the excuse is accepted as reasonable and necessary, arrangements will be made for an alternative due date and time.
Each student is responsible for making sure that he or she has completed the written work prior to submission.
Late work will be accepted with consequences as outlined per course syllabi.

APA GUIDELINES

The APA Publication Manual 6th edition is required for use in all nursing school programs.

REQUIRED TEXT / REFERENCE

DeVellis, R. F. (2016). Scale development, 4th edition. Sage Publications, Thousand Oaks, CA ISBN: 978-1-5063-4156-9

RECOMMENDED (OPTIONAL) TEXT / REFERENCE

1. Nunnally, J. C., & Bernstein, I. H. (1994) Psychometric theory, 3rd edition. NY: McGraw Hill. ISBN: 0-07-0478849-X

2. Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003) Making sense of factor analysis. Thousand Oaks, CA: Sage Publications. ISBN:0-7619-1950-3

CONTENT OUTLINE

1. Measurement terminology and related issues
– Overview of reliability and validity
2. Concept development and concept definition
– Concept complexity
– Concept development methods
3. Locating existing measures
– Types of measures
– Selection criteria
– Choosing and using existing measures
– Comparing and evaluating existing measures
– Interpretation and assessment
– Issues related to modifying measures
4. Developing new measures
– Generating items
– Choosing response scales
– Pretesting and piloting measures
– Expert review procedures
5. Psychometric characteristics
– Reliability: Types and Testing Methods
– Responsiveness
– Sensitivity to change
– Validity: Content, Construct, Criterion
– Bias and validity
– Multitrait Multimethod
6. Measurement issues in research with diverse populations
– Conceptual vs psychometric adequacy, equivalence, and invariance
– Culturally specific vs generic measures
– Translating measures