Ch 9
Introduction: The Problem of Defining Intelligence
Intelligence is defined as one of the most elusive terms in the realm of psychological testing.
Various experts have proposed distinct definitions, signaling a lack of consensus on what constitutes intelligence.
Different approaches to intelligence include:
Psychometric
Information-processing
Cognitive tradition
There is a correlation between socioeconomic background and scores on standardized intelligence tests, highlighting the influence of environmental factors.
The quest for understanding intelligence began in France in 1904 with the work of Alfred Binet, marking the inception of standardized testing.
Binet’s Principles of Test Construction
Binet identified three components of intelligence:
Direction: The ability to find and maintain a definite purpose.
Adaptation: The capability to make necessary adjustments in strategies to achieve objectives.
Self-criticism: The capacity to engage in self-reflection and adjust one’s approach based on effectiveness.
Principle 1: Age Differentiation
This principle posits that children of different ages can be differentiated based on their levels of ability.
The assessment of mental abilities is based on the age of children tested.
Principle 2: General Mental Ability
Binet’s goal was to measure the overall product of distinct elements of intelligence, rather than focusing solely on individual aspects.
Spearman’s Model of General Mental Ability
Charles Spearman proposed that all intelligent behavior is grounded in a general mental ability (denoted as g).
This general ability (g) is thought to consist of multiple specific abilities, referred to as s factors.
The concept of a Positive manifold suggests that individuals who perform well on one type of cognitive test tend to perform well on others.
Spearman utilized factor analysis to condense a variety of test items into common underlying factors, reinforcing the g factor theory.
Implications of General Mental Intelligence (g)
Overall intelligence is optimally represented by a single underlying factor, known as g.
This factor encapsulates the shared variance that underlies performance across a broad set of cognitive assessments.
It is also possible that both g and other specific skills contribute to scores on individual tests.
g significantly influenced the development of Binet scales, highlighting its foundational role in educational psychology.
The gf-gc Theory of Intelligence
One of the earliest frameworks proposing multiple types of intelligence, diverging from Spearman’s g theory.
gf (fluid intelligence): Pertains to reasoning abilities, thinking skills, and the capacity to acquire new knowledge.
gc (crystallized intelligence): Relates to previously acquired knowledge and the understanding of such knowledge.
The Early Binet Scales
The 1905 Binet-Simon Scale
Featured thirty items of increasing difficulty geared toward assessing intelligence levels.
Intellectual deficits were categorized with terms like:
Idiot (most severe)
Imbecile (moderate)
Moron (mild impairment)
Binet meticulously identified the constructs he aimed to measure through carefully crafted test items.
However, the scale lacked an adequate measuring unit and robust normative data or validity evidence.
The 1908 Scale
This edition was characterized as an age scale that retained the concept of age differentiation.
Although it improved on the previous scale, limitations persisted that were not wholly addressed until the 2003 edition.
The 1908 scale introduced the idea of mental age, yet it continued to express intelligence primarily in terms of linguistic skills.
Terman’s Stanford-Binet Intelligence Scale
Developed by Lewis Terman, this edition was heavily based on Binet’s initial work.
The concept of mental age was preserved, but the diversity of the standardization sample was criticized for being insufficient.
The Intelligence Quotient (IQ)
Proposed by Stern in 1912, IQ was calculated using the formula:
Where:
MA = Mental Age
CA = Chronological Age
An IQ of 100 indicates equivalence between mental age and chronological age, representing an average score.
A significant drawback of this method was that it artificially decreased IQ scores as individuals aged, leading to its eventual disuse.
The 1937 Scale
This version extended the measurement of age down to age two and increased the maximum mental age to 22 years and 10 months.
Enhancements were made in scoring standards and instructions.
A new standardization sample was introduced, but issues remained:
Reliability coefficients varied across different ages.
Unique deviation IQ scores emerged from different age group samples.
The 1960 Stanford-Binet Revision and Deviation IQ (SB-LM)
Efforts were made to integrate the best features of earlier editions, building upon the 1937 scale's strengths.
A deviation IQ model was adopted, with a mean of 100 and a standard deviation of 16.
Updated IQ tables reflected performance across scores, age, and percentiles.
Although a new standardization sample was not available immediately, one was developed by 1972, with further revisions in 1987 and 2003 to enhance the assessment process.
The Modern Binet Scale
The model for the Fourth and Fifth Editions of the Binet Scale combined psychometric and theoretical concepts.
It expanded beyond Spearman’s g model and incorporated the gf-gc framework, where:
g remains at the apex of the model.
The second level consists of three components:
Crystallized abilities
Fluid-analytic abilities
Short-term memory
Additionally, Thurstone’s multidimensional model introduced the concept of primary mental abilities, further enriching the understanding of intelligence.
Characteristics of the 1986 Revision
This revision aimed to leverage the strengths while reducing the weaknesses of previous editions.
Notably, the previous age-scale format was removed in favor of separate tests featuring similar items.
Characteristics of the 2003 Fifth Edition
The Fifth Edition integrated age-scale and point-scale assessments effectively and introduced verbal and nonverbal routing measures.
Key structural elements include defined starting points, and basal and ceiling scores for improved scoring accuracy.
Psychometric Properties of the 2003 Fifth Edition
The mean was retained at 100, while the standard deviation was adjusted to 15.
The age range for testing was extended to cover individuals from 2 to over 85 years.
The standardization sample underwent enhancements for increased diversity, and reliability measures showed substantial performance across the revised test.
Some research challenges the assertion that the fifth edition effectively measures five distinct factors of intelligence.
Median Validity
Four primary types of evidence support the validity of the Binet test:
Content Validity: Evaluates whether the test covers the intended material.
Construct Validity: Assesses whether the test accurately reflects its intended theoretical constructs.
Empirical Item Analysis: Involves statistical examination of item performance within the context of the test.
Criterion-related Evidence: Looks at the correlation between test scores and other measures of the same construct.