Measurement models based on vaguely quantified behavioral frequency reports differ in structure from those based on numerically quantified reports¶
Claim · All claims
Evidence · 1 study · causalr?·q2
Currency · newest study 2012 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? The structure of measurement models built from vaguely quantified frequency data differs from the structure of models built from numerically quantified frequency data. → Jamie Lynn Marincic 2012
Evidence¶
Jamie Lynn Marincic 2012¶
Jamie Lynn Marincic. (2012). Measurement Models for Behavioral Frequencies: A Comparison Between Numerically and Vaguely Quantified Reports. Working Paper 10. Princeton, NJ: Mathematica Policy Research. https://www.mathematica.org/publications/measurement-models-for-behavioral-frequencies-a-comparison-between-numerically-and-vaguely-quantified-reports
q2 · i? · causal · r?
An experiment embedded in the 2006 National Survey of Student Engagement compared frequency reports collected in numerically versus vaguely quantified formats. The paper reports that "the structure of measurement models based on vaguely and numerically quantified data differs"; no effect size is printed.
"Using data from an experiment embedded in the 2006 National Survey of Student Engagement, this working paper finds that the structure of measurement models based on vaguely and numerically quantified data differs"
Discussion¶
Related Claims¶
- The format used to quantify behavioral frequency reports directly influences substantive findings — related
- Latent variable models can be used to detect individual variability in the interpretation of vague quantifiers of behavioral frequency — related
- Differential interpretation of vague quantifiers is best represented as variability between latent interpretation classes — related
- Multidimensional latent variable models rarely support more than about four to six latent variables, limiting fine-grained SKIVE modeling — related
- Scovel argued anxiety is not a simple, unitary construct quantifiable into high or low amounts — related
- Defining and quantifying reliability and measurement error is particularly challenging in epistemic games for three principal reasons — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
vague-vs-numeric-frequency-measurement-models-differ |
title |
Measurement models based on vaguely quantified behavioral frequency reports differ in structure from those based on numerically quantified reports |
description |
Measurement models based on vaguely quantified behavioral frequency reports differ in structure from those based on numerically quantified reports |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2012 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jamie-lynn-marincic-2012 |
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