Science and Pseudoscience in Communication Disorders: Criteria and Applications
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Internal Validity Is About Causal Interpretability
Internal Validity is about Causal Interpretability Before we can discuss Internal Validity, we have to discuss different types of Internal Validity variables and review causal RH:s and the evidence needed to support them… Every behavior/measure used in a research study is either a ... Constant -- all the participants in the study have the same value on that behavior/measure or a ... • Measured & Manipulated Variables & Constants Variable -- when at least some of the participants in the study • Causes, Effects, Controls & Confounds have different values on that behavior/measure • Components of Internal Validity • “Creating” initial equivalence and every behavior/measure is either … • “Maintaining” ongoing equivalence Measured -- the value of that behavior/measure is obtained by • Interrelationships between Internal Validity & External Validity observation or self-report of the participant (often called “subject constant/variable”) or it is … Manipulated -- the value of that behavior/measure is controlled, delivered, determined, etc., by the researcher (often called “procedural constant/variable”) So, every behavior/measure in any study is one of four types…. constant variable measured measured (subject) measured (subject) constant variable manipulated manipulated manipulated (procedural) constant (procedural) variable Identify each of the following (as one of the four above, duh!)… • Participants reported practicing between 3 and 10 times • All participants were given the same set of words to memorize • Each participant reported they were a Psyc major • Each participant was given either the “homicide” or the “self- defense” vignette to read From before... Circle the manipulated/causal & underline measured/effect variable in each • Causal RH: -- differences in the amount or kind of one behavior cause/produce/create/change/etc. -
Science Standards
SCIENCE It is the policy of the Oklahoma State Department of Education (OSDE) not to discriminate on the basis of race, color, religion, gender, national origin, age, or disability in its programs or employment practices as required by Title VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, and Section 504 of the Rehabilitation Act of 1973. Civil rights compliance inquiries related to the OSDE may be directed to the Affirmative Action Officer, Room 111, 2500 North Lincoln Boulevard, Oklahoma City, Oklahoma 73105-4599, telephone number (405) 522-4930; or, the United States Department of Education’s Assistant Secretary for Civil Rights. Inquires or concerns regarding compliance with Title IX by local school districts should be presented to the local school district Title IX coordinator. This publication, printed by the State Department of Education Printing Services, is issued by the Oklahoma State Department of Education as authorized by 70 O.S. § 3-104. Five hundred copies have been prepared using Title I, Part A, School Improvement funds at a cost of $.15 per copy. Copies have been deposited with the Publications Clearinghouse of the Oklahoma Department of Libraries. DECEMBER 2013. SCIENCE Table of Contents 5-8 Introduction 9 K-5 Overview 10-18 ■ KINDERGARTEN 19-28 ■ 1ST GRADE 29-39 ■ 2ND GRADE 40-54 ■ 3RD GRADE 55-68 ■ 4TH GRADE 69-82 ■ 5TH GRADE 83 6-12 Overview 84-101 ■ 6TH GRADE 102-119 ■ 7TH GRADE 120-137 ■ 8TH GRADE 138-152 ■ PHYSICAL SCIENCE 153-165 ■ CHEMISTRY 166-181 ■ PHYSICS 182-203 ■ BIOLOGY I 204-219 ■ EARTH & SPACE SCIENCE 220-235 ■ ENVIRONMENTAL SCIENCE Introduction Science uses observation and experimentation to explain natural phenomena. -
Validity and Reliability of the Questionnaire for Compliance with Standard Precaution for Nurses
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Cadernos Espinosanos (E-Journal) Rev Saúde Pública 2015;49:87 Original Articles DOI:10.1590/S0034-8910.2015049005975 Marília Duarte ValimI Validity and reliability of the Maria Helena Palucci MarzialeII Miyeko HayashidaII Questionnaire for Compliance Fernanda Ludmilla Rossi RochaIII with Standard Precaution Jair Lício Ferreira SantosIV ABSTRACT OBJECTIVE: To evaluate the validity and reliability of the Questionnaire for Compliance with Standard Precaution for nurses. METHODS: This methodological study was conducted with 121 nurses from health care facilities in Sao Paulo’s countryside, who were represented by two high-complexity and by three average-complexity health care facilities. Internal consistency was calculated using Cronbach’s alpha and stability was calculated by the intraclass correlation coefficient, through test-retest. Convergent, discriminant, and known-groups construct validity techniques were conducted. RESULTS: The questionnaire was found to be reliable (Cronbach’s alpha: 0.80; intraclass correlation coefficient: (0.97) In regards to the convergent and discriminant construct validity, strong correlation was found between compliance to standard precautions, the perception of a safe environment, and the smaller perception of obstacles to follow such precautions (r = 0.614 and r = 0.537, respectively). The nurses who were trained on the standard precautions and worked on the health care facilities of higher complexity were shown to comply more (p = 0.028 and p = 0.006, respectively). CONCLUSIONS: The Brazilian version of the Questionnaire for I Departamento de Enfermagem. Centro Compliance with Standard Precaution was shown to be valid and reliable. -
There Is No Pure Empirical Reasoning
There Is No Pure Empirical Reasoning 1. Empiricism and the Question of Empirical Reasons Empiricism may be defined as the view there is no a priori justification for any synthetic claim. Critics object that empiricism cannot account for all the kinds of knowledge we seem to possess, such as moral knowledge, metaphysical knowledge, mathematical knowledge, and modal knowledge.1 In some cases, empiricists try to account for these types of knowledge; in other cases, they shrug off the objections, happily concluding, for example, that there is no moral knowledge, or that there is no metaphysical knowledge.2 But empiricism cannot shrug off just any type of knowledge; to be minimally plausible, empiricism must, for example, at least be able to account for paradigm instances of empirical knowledge, including especially scientific knowledge. Empirical knowledge can be divided into three categories: (a) knowledge by direct observation; (b) knowledge that is deductively inferred from observations; and (c) knowledge that is non-deductively inferred from observations, including knowledge arrived at by induction and inference to the best explanation. Category (c) includes all scientific knowledge. This category is of particular import to empiricists, many of whom take scientific knowledge as a sort of paradigm for knowledge in general; indeed, this forms a central source of motivation for empiricism.3 Thus, if there is any kind of knowledge that empiricists need to be able to account for, it is knowledge of type (c). I use the term “empirical reasoning” to refer to the reasoning involved in acquiring this type of knowledge – that is, to any instance of reasoning in which (i) the premises are justified directly by observation, (ii) the reasoning is non- deductive, and (iii) the reasoning provides adequate justification for the conclusion. -
A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
applied sciences Article A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools Tatiana Person 1,* , Iván Ruiz-Rube 1 , José Miguel Mota 1 , Manuel Jesús Cobo 1 , Alexey Tselykh 2 and Juan Manuel Dodero 1 1 Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, Spain; [email protected] (I.R.-R.); [email protected] (J.M.M.); [email protected] (M.J.C.); [email protected] (J.M.D.) 2 Department of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia; [email protected] * Correspondence: [email protected] Abstract: Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review Citation: Person, T.; Ruiz-Rube, I.; Mota, J.M.; Cobo, M.J.; Tselykh, A.; tool focused on Computer Science, to implement evidence-based systematic review processes in Dodero, J.M. -
Mothers in Science
The aim of this book is to illustrate, graphically, that it is perfectly possible to combine a successful and fulfilling career in research science with motherhood, and that there are no rules about how to do this. On each page you will find a timeline showing on one side, the career path of a research group leader in academic science, and on the other side, important events in her family life. Each contributor has also provided a brief text about their research and about how they have combined their career and family commitments. This project was funded by a Rosalind Franklin Award from the Royal Society 1 Foreword It is well known that women are under-represented in careers in These rules are part of a much wider mythology among scientists of science. In academia, considerable attention has been focused on the both genders at the PhD and post-doctoral stages in their careers. paucity of women at lecturer level, and the even more lamentable The myths bubble up from the combination of two aspects of the state of affairs at more senior levels. The academic career path has academic science environment. First, a quick look at the numbers a long apprenticeship. Typically there is an undergraduate degree, immediately shows that there are far fewer lectureship positions followed by a PhD, then some post-doctoral research contracts and than qualified candidates to fill them. Second, the mentors of early research fellowships, and then finally a more stable lectureship or career researchers are academic scientists who have successfully permanent research leader position, with promotion on up the made the transition to lectureships and beyond. -
The Law and the Brain: Judging Scientific Evidence of Intent
The Journal of Appellate Practice and Process Volume 1 Issue 2 Article 4 1999 The Law and the Brain: Judging Scientific videnceE of Intent Erica Beecher-Monas Edgar Garcia-Rill Follow this and additional works at: https://lawrepository.ualr.edu/appellatepracticeprocess Part of the Evidence Commons, Jurisprudence Commons, and the Science and Technology Law Commons Recommended Citation Erica Beecher-Monas and Edgar Garcia-Rill, The Law and the Brain: Judging Scientific videnceE of Intent, 1 J. APP. PRAC. & PROCESS 243 (1999). Available at: https://lawrepository.ualr.edu/appellatepracticeprocess/vol1/iss2/4 This document is brought to you for free and open access by Bowen Law Repository: Scholarship & Archives. It has been accepted for inclusion in The Journal of Appellate Practice and Process by an authorized administrator of Bowen Law Repository: Scholarship & Archives. For more information, please contact [email protected]. THE LAW AND THE BRAIN: JUDGING SCIENTIFIC EVIDENCE OF INTENT Erica Beecher-Monas* and Edgar Garcia-Rill, Ph.D.** INTRODUCTION As evidentiary gatekeepers, judges must be ready to evaluate expert testimony about science and the brain. A wide variety of cases present issues of mental state, many doubtless with battling experts seeking to testify on these issues. This poses a dilemma for nonspecialist judges. How is a nonscientist to judge scientific evidence? How can a nonscientist decide if testimony about mental state meets the criteria of good science? This essay offers a general overview of the issue of evaluating scientific evidence and is aimed at exploring the issues involved, but not attempting easy answers. Of necessity, this requires thinking about how science works. -
Urban Myths Mythical Cryptids
Ziptales Advanced Library Worksheet 2 Urban Myths Mythical Cryptids ‘What is a myth? It is a story that pretends to be real, but is in fact unbelievable. Like many urban myths it has been passed around (usually by word of mouth), acquiring variations and embellishments as it goes. It is a close cousin of the tall tale. There are mythical stories about almost any aspect of life’. What do we get when urban myths meet the animal kingdom? We find a branch of pseudoscience called cryptozoology. Cryptozoology refers to the study of and search for creatures whose existence has not been proven. These creatures (or crytpids as they are known) appear in myths and legends or alleged sightings. Some examples include: sea serpents, phantom cats, unicorns, bunyips, giant anacondas, yowies and thunderbirds. Some have even been given actual names you may have heard of – do Yeti, Owlman, Mothman, Cyclops, Bigfoot and the Loch Ness Monster sound familiar? Task 1: Choose one of the cryptids from the list above (or perhaps one that you may already know of) and write an informative text identifying the following aspects of this mythical creature: ◊ Description ◊ Features ◊ Location ◊ First Sighting ◊ Subsequent Sightings ◊ Interesting Facts (e.g. how is it used in popular culture? Has it been featured in written or visual texts?) Task 2: Cryptozoologists claim there have been cases where species now accepted by the scientific community were initially considered urban myths. Can you locate any examples of creatures whose existence has now been proven but formerly thought to be cryptids? Extension Activities: • Cryptozoology is called a ‘pseudoscience’ because it relies solely on anecdotes and reported sightings rather than actual evidence. -
Achievements and Fallacies in Hume's Account of Infinite
-1- ACHIEVEMENTS AND FALLACIES IN HUME’S ACCOUNT OF INFINITE DIVISIBILITY James Franklin Hume Studies 20 (1994): 85-101 Throughout history,almost all mathematicians, physicists and philosophers have been of the opinion that space and time are infinitely divisible. That is, it is usually believedthat space and time do not consist of atoms, but that anypiece of space and time of non-zero size, howeversmall, can itself be divided into still smaller parts. This assumption is included in geometry,asinEuclid, and also in the Euclidean and non- Euclidean geometries used in modern physics. Of the fewwho have denied that space and time are infinitely divisible, the most notable are the ancient atomists, and Berkeleyand Hume. All of these assert not only that space and time might be atomic, but that theymust be. Infinite divisibility is, theysay, impossible on purely conceptual grounds. In the hundred years or so before Hume’s Tr eatise, there were occasional treatments of the matter,in places such as the Port Royal Logic, and Isaac Barrow’smathematical lectures of the 1660’s, 1 Theydonot add anything substantial to medievaltreatments of the same topic. 2 Mathematicians certainly did not take seriously the possibility that space and time might be atomic; Pascal, for example, instances the Chevalier de Me´re´’s belief in atomic space as proof of his total incompetence in mathematics. 3 The problem acquired amore philosophical cast when Bayle, in his Dictionary, tried to showthat both the assertion and the denial of the infinite divisibility of space led to contradictions; the problem thus appears as a general challenge to "Reason". -
Statistical Analysis 8: Two-Way Analysis of Variance (ANOVA)
Statistical Analysis 8: Two-way analysis of variance (ANOVA) Research question type: Explaining a continuous variable with 2 categorical variables What kind of variables? Continuous (scale/interval/ratio) and 2 independent categorical variables (factors) Common Applications: Comparing means of a single variable at different levels of two conditions (factors) in scientific experiments. Example: The effective life (in hours) of batteries is compared by material type (1, 2 or 3) and operating temperature: Low (-10˚C), Medium (20˚C) or High (45˚C). Twelve batteries are randomly selected from each material type and are then randomly allocated to each temperature level. The resulting life of all 36 batteries is shown below: Table 1: Life (in hours) of batteries by material type and temperature Temperature (˚C) Low (-10˚C) Medium (20˚C) High (45˚C) 1 130, 155, 74, 180 34, 40, 80, 75 20, 70, 82, 58 2 150, 188, 159, 126 136, 122, 106, 115 25, 70, 58, 45 type Material 3 138, 110, 168, 160 174, 120, 150, 139 96, 104, 82, 60 Source: Montgomery (2001) Research question: Is there difference in mean life of the batteries for differing material type and operating temperature levels? In analysis of variance we compare the variability between the groups (how far apart are the means?) to the variability within the groups (how much natural variation is there in our measurements?). This is why it is called analysis of variance, abbreviated to ANOVA. This example has two factors (material type and temperature), each with 3 levels. Hypotheses: The 'null hypothesis' might be: H0: There is no difference in mean battery life for different combinations of material type and temperature level And an 'alternative hypothesis' might be: H1: There is a difference in mean battery life for different combinations of material type and temperature level If the alternative hypothesis is accepted, further analysis is performed to explore where the individual differences are. -
Identification and Operationalization of the Major Risk Factors for Antisocial and Delinquent Behaviour Among Children and Youth Research Report: 2012-3
www.publicsafety.gc.ca/ncpc www.securitepublique.gc.ca/cnpc IdentIfIcatIon and operatIonalIzatIon of the Major Risk factors for antIsocIal and delInquent BehavIour aMong chIldren and Youth research report: 2012-3 NatioNal Crime PreveNtioN CeNtre / CeNtre NatioNal de PréveNtioN du Crime Acting to prevent crime Agir pour prévenir IdentIfIcatIon and operatIonalIzatIon of the Major Risk factors for antIsocIal and delInquent BehavIour aMong chIldren and Youth research report: 2012-3 Report submitted to Public Safety Canada’s National Crime Prevention Centre (NCPC) by David M. Day & Sonya G. Wanklyn Ryerson University Toronto, Ontario published by: National Crime Prevention Centre (NCPC) Public Safety Canada Ottawa, Ontario Canada K1A 0P8 visit the public safety website and add your name to the ncpc Mailing list: www.publicsafety.gc.ca/ncpc catalogue number: PS4-161/2012E-PDF IsBn: 978-1-100-20345-4 © Her Majesty the Queen in Right of Canada, 2012 This material may be freely reproduced for non-commercial purposes provided that the source is acknowledged. The views expressed in this report are those of the authors and do not necessarily represent the views of Public Safety Canada. La présente publication est aussi disponible en français. Elle s’intitule : Détermination et définition des principaux facteurs de risque du comportement antisocial et délinquant chez les enfants et les jeunes. table of contents Executive Summary ..................................................................................................................1 Introduction -
THE SCIENTIFIC METHOD and the LAW by Bemvam L
Hastings Law Journal Volume 19 | Issue 1 Article 7 1-1967 The cS ientific ethoM d and the Law Bernard L. Diamond Follow this and additional works at: https://repository.uchastings.edu/hastings_law_journal Part of the Law Commons Recommended Citation Bernard L. Diamond, The Scientific etM hod and the Law, 19 Hastings L.J. 179 (1967). Available at: https://repository.uchastings.edu/hastings_law_journal/vol19/iss1/7 This Article is brought to you for free and open access by the Law Journals at UC Hastings Scholarship Repository. It has been accepted for inclusion in Hastings Law Journal by an authorized editor of UC Hastings Scholarship Repository. THE SCIENTIFIC METHOD AND THE LAW By BEmVAm L. DIivmN* WHEN I was an adolescent, one of the major influences which determined my choice of medicine as a career was a fascinating book entitled Anomalies and Curiosities of Medicine. This huge volume, originally published in 1897, is a museum of pictures and lurid de- scriptions of human monstrosities and abnormalities of all kinds, many with sexual overtones of a kind which would especially appeal to a morbid adolescent. I never thought, at the time I first read this book, that some day, I too, would be an anomaly and curiosity of medicine. But indeed I am, for I stand before you here as a most curious and anomalous individual: a physician, psychiatrist, psychoanalyst, and (I hope) a scientist, who also happens to be a professor of law. But I am not a lawyer, nor in any way trained in the law; hence, the anomaly. The curious question is, of course, why should a non-lawyer physician and scientist, like myself, be on the faculty of a reputable law school.