The main topics of study considered in light of the above learning outcomes are:Research philosophy (e.g. positivism, empiricism, naturalism)Formulating empirical research questions and conceptual research modelsCausality effects and relationshipsValidity and ReliabilityScales of measurement (e.g. nominal, ordinal, interval, ratio)Sampling methods (e.g. experiment, survey, observations) and measure instruments (e.g. Likert scales, semantic differential, event versus time sampling)Experimental design (e.g. within and between-subjects, factorial design, counter-balancing, Latin square)Biases in empirical research approaches (e.g. confounding variables, statistical power)Data preparation (e.g. standardization of data, reliability analysis, Inter-rater reliability)Hypothesis testing, t-test, (M)ANOVA, correlation, regression analysisNon-parametric approaches to data analysis

Principles of supervisory control and telerobotics. Different levels of automation are discussed, as well as the allocation of roles and authority between humans and machines. Human-vehicle interface design in highly automated systems. Decision aiding. Tradeoffs between human control and human monitoring. Automated alerting systems and human intervention in automatic operation. Enhanced human interface technologies such as virtual presence. Performance, optimization, and social implications of the human-automation system. Examples from aerospace, ground, and undersea vehicles, robotics, and industrial systems. Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines. These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes. Further topics comprise: performance, optimization and social implications of the system; enhanced human interfaces; decision aiding; and automated alterting systems. Topics refer to applications in aerospace, industrial and transportation systems.

The Introduction to Psychology course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2018. The course is part of the Ohio Transfer Module and is also named OSS015. For more information about credit transfer between Ohio colleges and universities please visit: www.ohiohighered.org/transfer.Team LeadVincent Granito                                    Lorain County Community CollegeContent ContributorsNicole Brandt                                       Columbus State Community CollegeLynne Gabriel                                      Lakeland Community CollegeJackie Sample                                     Central Ohio Technical CollegeLibrarianRachel Dilley                                       Columbus State Community CollegeReview TeamMelissa Beers                                      Ohio State UniversityBryan Gerber                                        Stark State College

 How to Use this GuideThis guide provides information and resources on introducing the different research methods that have been used in the field of psychology. All resources are Open Access and can be downloaded or added to a Course Management System (LMS) via the hyperlinks.  IntroductionOne of the key takeaways from the Introduction to Psychology class should be that psychology is a science.  Our discipline can be distinguished from pseudo-science or common sense through the various research approaches in the field.  The instructor should provide a survey of the different methods, including examples and strengths and weaknesses to each approach.