W10 Lecture 2 - Intelligence & IQ PDF
Document Details
Uploaded by FelicitousKazoo7765
University of Sydney
Tags
Summary
This document summarizes lecture notes on intelligence and IQ, including the historical development of intelligence tests, such as Binet's scale and the Stanford-Binet. It covers concepts of mental age and intelligence quotient (IQ).
Full Transcript
# 8/10 W10 Lecture 2 ## Intelligence & IQ Alfred binet (1857-1911) - developed techniques for identifying children who lack success in normal classrooms - learned skills were not tested explicitly ### Binet's Scale - age level assigned to each reasoning task - **Mental age:** age assigned to the m...
# 8/10 W10 Lecture 2 ## Intelligence & IQ Alfred binet (1857-1911) - developed techniques for identifying children who lack success in normal classrooms - learned skills were not tested explicitly ### Binet's Scale - age level assigned to each reasoning task - **Mental age:** age assigned to the most difficult task you could complete - **Binet's goal:** **p**ul**y** to help identify students of remedial education (to help **anb** improve) #### Binet's Stipulations 1. The scores are a practical device 2. The scale is rough 3. Low scores shall not be used to mark children as innately as possible ### Goddard - took Binet test and used it on immigrants - determined this mental age scale: - <2 = **do外** - 3-7 = imbecile - 8-12 = feebleminded - moron = highest functioning mentally retarded # Lewis Terman (1916) - revised and published Binet tests called Stanford-Binet - marked industrialization of intelligence tests - introduced the intelligence quotient (IQ) - evidence back then concerns started around consequences of intelligence questions. ## Intelligence Quotient (IQ) - introduced in Stanford-Binet test - problematic around if mental age is the most appropriate way to assess intelligence - **Ratio IQ = (Mental age / Chronological age) * 100** - proposed by Stern (1912) - adopted by Terman ### Problems with Ratio IQ - only works if mental age is only growing proportionally with chronological age - difficult to make comparisons of intellect across age levels - hard to apply to adults ### New IQ idea: Using z scores of relative data in age groups to determine IQ - Raw score -> z scores deviation TA scores - Deviation IQ -> gives appearance of stability in IQ