Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Attention and social problems are uniquely associated with academic achievement beyond overall psychopathology: multicohort replication in 3,800 participants.

Journal of child psychology and psychiatry, and allied disciplines·2026
Same author

ManyNumbers 3: A Multi-Lab Study of Demographic Correlates of Early Number Knowledge.

Developmental science·2026
Same author

Early Identification of Children at Risk for Long-Term Difficulties with Mathematics Learning and Innumeracy in Adolescence.

Journal of pediatric neuropsychology·2026
Same author

Exploring Vocabulary Growth in African American English-Speaking Toddlers: Bridging Linguistic and Cultural Perspectives.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Biological and cultural influences on the expression of sex differences: Commentary on Costello et al. (2026).

The American psychologist·2026
Same author

Replication of Strategic and Interactive Writing Instruction in a Nationwide Randomized Controlled Trial.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

Automaticity of Word Recognition is a Unique Predictor of Reading Fluency in Middle-School Students.

Journal of educational psychology·2026
Same journal

Engaging Latinx or Hispanic-Identifying Families in Science Education: A Longitudinal Intervention Study.

Journal of educational psychology·2026
Same journal

Supporting Parents to Support Children: A U.K. Randomized Controlled Trial Testing a Text Message Intervention to Cultivate the Home Learning Environment.

Journal of educational psychology·2025
Same journal

Sit Still or Move More? The Impact of Fidgeting on Creativity.

Journal of educational psychology·2025
Same journal

Transfer between Reading Comprehension and Word-Problem Solving among Children with Learning Difficulty in Both Domains.

Journal of educational psychology·2025
Same journal

Mediators that Matter: Psychological Distress, Developmental Assets, and Educational Outcomes among Black Youth.

Journal of educational psychology·2025
See all related articles

Related Experiment Video

Updated: Jun 14, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.9K

Individual Differences in Addition Strategy Choice: A Psychometric Evaluation.

Katherine T Rhodes1, Sarah Lukowski2, Lee Branum-Martin3

  • 1Department of Psychology, The Ohio State University.

Journal of Educational Psychology
|August 30, 2024
PubMed
Summary
This summary is machine-generated.

The Strategy Choice Model (SCM) was empirically tested using Explanatory Item Response Theory (EIRT). This study confirms SCM

Keywords:
Explanatory Item Response TheoryStrategy Choice Modeladolescent cognitive additionarithmetic problem-solvingindividual differences

More Related Videos

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

Related Experiment Videos

Last Updated: Jun 14, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.9K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Psychometrics

Background:

  • The Strategy Choice Model (SCM) is a key theory in human problem-solving.
  • A core tenet of SCM, accounting for both item and person variance, lacks empirical validation.
  • Individual differences in problem-solving strategies are crucial for understanding academic achievement.

Purpose of the Study:

  • To empirically test the central tenet of the Strategy Choice Model (SCM).
  • To investigate the contribution of item and person variance in problem-solving outcomes.
  • To identify problem-solving strategies of adolescents struggling with arithmetic.

Main Methods:

  • Explanatory Item Response Theory (EIRT) was employed for simultaneous estimation of item and person effects.
  • The study involved 376 adolescents solving addition problems.
  • EIRT was used to validate the SCM's core assumptions.

Main Results:

  • The central tenet of the Strategy Choice Model (SCM) was empirically confirmed using EIRT.
  • The study successfully identified specific strategy choices of adolescents experiencing difficulties with basic arithmetic.
  • Both item and person variance were shown to significantly contribute to problem-solving outcomes.

Conclusions:

  • The integration of SCM and EIRT provides a robust framework for studying individual differences in problem-solving.
  • This approach can identify students at risk for poor academic achievement based on their problem-solving patterns.
  • Findings have implications for targeted interventions in mathematics education.