'Internal validity' presentation slideshows

CLAS Assessment: The Next Steps. Developed By: Maria Cimitile, Julie Guevara, Kylene Dalton-Koons, Jennifer Glaab. Strategic & Assessment Planning. Assessment Plan. Goal #2 Goal #5 Goal #8. Strategic Plan. Goal #1 Goal #2 Goal #3 Goal #4 Goal #5 Goal #6 Goal #7 Goal #8. (2) Data

Experimental RESEARCH DESIGNS. This presentation was prepared by Del Siegle. Some of the material is from an earlier presentation by Scott Brown. Experimental Research Designs have Two Purposes:. …to provide answers to research questions ...to control variance (differences).

Lecture 8: Quasi-experiments. Aims & Objectives To differentiate between true and quasi-experiments To discuss the nature of random allocation To examine threats to experimental validity To examine some basic quasi-experimental designs. Type of general approaches to design. Descriptive

Laying the Foundation for Scaling Up During Development . Definition. Fidelity of implementation is: the extent to which a program (including its content and process) is implemented as designed; how it is implemented (by the teacher); how it is received (by the students);

Controlling extraneous variables. How to recognize ’em, and how to fix ’em. Extraneous variables. Extraneous variables are all variables other than the Ivs and the DVs.

Research design. Faulty or pre-experimental designs True experimental designs. Faulty or pre-experimental designs. One-group after-only design/One-shot case study X O One-group pretest-posttest design O 1 X O 2 Nonequivalent posttest-only design/ Static group comparison X O

Effects of Self-Monitoring on the Classroom Preparedness Skills of Kindergarten Students At-Risk for Developmental Disabilities. Jennifer Boyd Bialas, ME.d. Richard T. Boon, Ph.D. Department of Communication Sciences & Special Education College of Education The University of Georgia

Scientific Inquiry. What is Scientific Inquiry. Scientific inquiry is the system or procedure by which we seek to understand and explain behavior or the world around us . On a scale of 1 (don’t agree at all) to 5 (completely agree), how much do you agree with the following statement:

CONFOUNDING. DEFINITION: A third variable (not the exposure or outcome variable of interest) that distorts the observed relationship between the exposure and outcome. • Confounding is a confusion of effects that is a nuisance and should be controlled for if possible.

Quasi Experimental Designs. An Alternative to the True Experiment. Characteristics of Quasi-experimental designs. Goals and consequences Basic versus applied research Experimental Control Have manipulation of the independent variable May lack either or both of: Random assignment to groups

Reliability and Validity. Criteria of Measurement Quality. How do we judge the relative success (or failure) in measuring various concepts? Reliability – consistency of measurement Validity – confidence in measures and design. Reliability and Validity. Reliability focuses on measurement

Information Resources Management. January 16, 2001. Agenda. Administrivia Course Overview Database Management Systems (DBMSs) Homework #1. Administrivia. Syllabus Book Homework Web Page. Course Calendar. Eleven Homeworks Approximately one per week Exams Midterm 1 - 2/20

Lecture 6. Experiments II: Validity and Design Considerations. Example: Trust-Building Study. Question: Do increased risk-taking behaviors over time increase interpersonal trust?. Trust-Building Study . Independent Variable Experiment Condition (2 conditions):

Research Methods Fall 2011. Science Helps Avoid Bias. Biases confound our judgment Overconfidence Confirmation bias Self-fulfilling prophecies Belief perseverance Illusory correlations Availability heuristic Conjunction fallacy Seeing patterns when there are none. 2.

Abbreviated Interrupted Time-Series. What is Interrupted Time Series (ITS)? Rationales Designs Analysis. What is ITS?. A series of observations on the same dependent variable over time

Clinical Practice Guidelines and People with Multimorbidity. Cynthia M. Boyd, MD MPH Johns Hopkins University David Kent, Katrin Uhlig, Tom Trikalinos, Bruce Leff, Jodi Segal, Carlos Weiss, Sydney Dy, Ravi Varadhan

Random and Quasi-random Allocation. Background. Surprisingly many researchers do not understand the concept of random allocation.

Experimental Design. True Experimental Designs. Random assignment Two comparison groups Controls threats to internal validity Strongest evidence for cause-effect. Quasi Experimental Designs. Lacks randomization or Lacks control group Accommodates for natural setting. Group Assignment.

Sociology 282. Searching for [causal] relationships. Cause. Laypersons definition: when one thing affects another

Principles of Behavior Modification. Note Set 2 Gary L. Cates, Ph.D., N.C.S.P. Applied Research Methods. Single Case Designs. Terms. Independent Variable : What is manipulated Dependent Variable : What is measured (Always Y Axis)