This is a resource that you can use online or in class. It is a great way to start a conversation with a student on the importance of just living for today.
A strong foundation in science (including this social science) has always been an essential element of post-secondary education. The current White House administration demonstrates that people are much more impressionable when they don't have the critical tools to question so-called experts. Critical analysis of research has always been integral to the sciences, but with so much misinformation coming out of those in power, it is more important than ever to have a strong background in science and research.
This course is designed to provide an engaging and personally relevant overview of the discipline of Abnormal Psychology. You will examine the cognitive and behavioral patterns which impair personal effectiveness and adjustment. Students will provide much of the substantive content and teaching presence in this course. Additional content has been curated from "The Noba Project (http://nobaproject.com/)" and "Abnormal Psychology: An e-text! (http://abnormalpsych.wikispaces.com/).
Openly-licensed course materials developed for the Open Educational Resources (OER) Degree Initiative, led by Achieving the Dream. https://courses.lumenlearning.com/catalog/achievingthedream
This LibGuide was designed to accompany a community college course in Abnormal Psychology. It contains original material created by the instructor (Mind Maps and Focus Questions), as well as supporting readings gathered from other open sources and some links to freely available copyrighted material. Institutions with a subscription to the LibGuides platform may want to make a copy so they can adapt it to local needs and control the content.
Abnormal Psychology is adapted from a work produced and distributed under a Creative Commons license (CC BY) in 2014 by OpenStax. This adapted edition is produced by Delta College through the OER Support Initiative
This adaptation comprises three chapters (Chapter 2 – Psychological Research, Chapter 14 – Stress, Lifestyle, and Health, Chapter 15 – Psychological Disorders) of the original text, chapters were reformatted to make the resulting product the starting point for an Abnormal Psychology course. This adaptation has not significantly altered or updated the original 2018 text.
Students enrolled in an Adolescent and Adult Development Psychology course at Boise State University collaborated to create a blog answering this prompt: Summarize and integrate what we have learned so far in this course about the adolescent period of life, focusing particularly on the importance of family and friends as sources of socialization and as responders to the physical and mental changes that adolescents are undergoing.Authors: Heather Whittaker, Parker Rising Evans, Shyann Gambill, Jesse Peters, Brooklynn Adams, Maddie Blew, Chase Dreksler, Kyle Dumpel, Sophia Falsev, Hanah Hazel, Daddy Boy Huddy-Nahalea, Rael Jensen, Kylie Johnson, Alex Low, Carson Manning, Melissa Ness, Taylor Oxley, Jacqueline Reyes, Hailey Reynolds, Colin Shillingburg, Hannah Swenson, Austin Thompson, Julie Vasilyev, and Cooper Wilcox
These blogs are written for the purpose of providing knowledge to people who want to learn more about adolescent development. Through these various writings, there will be different types of information to learn about adolescent behavior in today's world. Enjoy.
The process of adolescent development has always been complex, with a myriad of biological, mental, and social changes. In our increasingly complex world it becomes even more difficult for adolescents to navigate their way into adulthood. The following selections touch on topics such as first jobs, international identity, relationships, social media, and others to get a glimpse at what life is like for the youth of today and hopefully offer insight and advice to parents and their adolescents.
This resource goes over the importance of parental involvement during puberty, Piaget's stages of cognitive development, the importance of sleep during adolescent development, and the impact of media on adolescents as well as working during adolescence.
The veracity of substantive research claims hinges on the way experimental data are collected and analyzed. In this article, we discuss an uncomfortable fact that threatens the core of psychology’s academic enterprise: almost without exception, psychologists do not commit themselves to a method of data analysis before they see the actual data. It then becomes tempting to fine tune the analysis to the data in order to obtain a desired result—a procedure that invalidates the interpretation of the common statistical tests. The extent of the fine tuning varies widely across experiments and experimenters but is almost impossible for reviewers and readers to gauge. To remedy the situation, we propose that researchers preregister their studies and indicate in advance the analyses they intend to conduct. Only these analyses deserve the label “confirmatory,” and only for these analyses are the common statistical tests valid. Other analyses can be carried out but these should be labeled “exploratory.” We illustrate our proposal with a confirmatory replication attempt of a study on extrasensory perception.
This collection of articles discusses findings in the field of cognitive science and cognitive psychology.
Ongoing technological developments have made it easier than ever before for scientists to share their data, materials, and analysis code. Sharing data and analysis code makes it easier for other researchers to re-use or check published research. These benefits will only emerge if researchers can reproduce the analysis reported in published articles, and if data is annotated well enough so that it is clear what all variables mean. Because most researchers have not been trained in computational reproducibility, it is important to evaluate current practices to identify practices that can be improved. We examined data and code sharing, as well as computational reproducibility of the main results, without contacting the original authors, for Registered Reports published in the psychological literature between 2014 and 2018. Of the 62 articles that met our inclusion criteria, data was available for 40 articles, and analysis scripts for 37 articles. For the 35 articles that shared both data and code and performed analyses in SPSS, R, Python, MATLAB, or JASP, we could run the scripts for 31 articles, and reproduce the main results for 20 articles. Although the articles that shared both data and code (35 out of 62, or 56%) and articles that could be computationally reproduced (20 out of 35, or 57%) was relatively high compared to other studies, there is clear room for improvement. We provide practical recommendations based on our observations, and link to examples of good research practices in the papers we reproduced.
By the end of this section, you will be able to:Explain what a correlation coefficient tells us about the relationship between variablesRecognize that correlation does not indicate a cause-and-effect relationship between variablesDiscuss our tendency to look for relationships between variables that do not really existExplain random sampling and assignment of participants into experimental and control groupsDiscuss how experimenter or participant bias could affect the results of an experimentIdentify independent and dependent variables
This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.
Esta guía práctica acompaña la serie de videos Poder estadístico y tamaño de muestra en R, de mi canal de YouTube Investigación Abierta, que recomiendo ver antes de leer este documento. Contiene una explicación general del análisis de poder estadístico y cálculo de tamaño de muestra, centrándose en el procedimiento para realizar análisis de poder y tamaños de muestra en jamovi y particularmente en R, usando los paquetes pwr (para diseños sencillos) y Superpower (para diseños factoriales más complejos). La sección dedicada a pwr está ampliamente basada en este video de Daniel S. Quintana (2019).
This resource provides a brief description of how to use the CAADE/ACCBC Code of Ethics to facilitate knowledge and skill development of the addication counselor. Introduction of the Code of Ethics, assignments, quiz questions and exam questions can be developed using this resource.