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edited by Charles R. Henderson, Marcos D. Caballero, Alexis V. Knaub, and John M. Aiken
Quantitative research is used throughout Physical Review Physics Education Research (PER) to study student and faculty achievement, demographics, and even behavior both online and in the classroom. These data are powerful as they go on to guide policy and practice in both localized and national settings. As a result of this power, many tools and analysis techniques have become standard ways to measure student learning and outcomes, faculty teaching behaviors, departmental changes, and more. As PER matures and research progresses, new tools and analysis techniques are becoming available. Introducing these new tools and techniques means researchers must make decisions about which are appropriate for particular studies. Differences among these tools, even ones that have the same general measurement goal, are not always clear to PER researchers or the broader PER community.

The goal of this Focused Collection is to provide a set of research articles that critically examine current tools and analysis techniques used in PER for quantitative data as well as those that offer new and interesting methods that might not be currently used in PER. We invite manuscripts that examine and challenge standard quantitative research methods in PER as well as those that use novel analysis techniques to provide new insights into data. Rather than simply present what is available, this collection will delve into differences among current tools and techniques to support researchers in making informed choices for their quantitative work.
Subjects Levels Resource Types
Education - Applied Research
- Technology
Education - Basic Research
- Assessment
= Instruments
- Research Design & Methodology
= Data
= Evaluation
= Literature
= Statistics
Mathematical Tools
- Statistics
- Graduate/Professional
- Collection
- Reference Material
= Nonfiction Reference
PER-Central Type Intended Users Ratings
- PER Literature
- Professional/Practitioners
- Researchers
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Free access
License:
This material is released under a Creative Commons Attribution 4.0 license. Additional information is available.
Rights Holder:
American Physical Society
Keywords:
data analysis collection, data collection tools, data interpretation tools
Record Creator:
Metadata instance created March 1, 2023 by Caroline Hall
Record Updated:
March 1, 2023 by Caroline Hall
Last Update
when Cataloged:
June 5, 2017
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Record Link
AIP Format
, edited by C. Henderson, M. Caballero, A. Knaub, and J. Aiken (2017), WWW Document, (https://journals.aps.org/prper/collections/quantitative-methods).
AJP/PRST-PER
Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination , edited by C. Henderson, M. Caballero, A. Knaub, and J. Aiken (2017), <https://journals.aps.org/prper/collections/quantitative-methods>.
APA Format
Henderson, C., Caballero, M., Knaub, A., & Aiken, J. (Eds.). (2017, June 5). Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination . Retrieved February 29, 2024, from https://journals.aps.org/prper/collections/quantitative-methods
Chicago Format
Henderson, C, M. Caballero, A. Knaub, and J. Aiken, eds. Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination . June 5, 2017. https://journals.aps.org/prper/collections/quantitative-methods (accessed 29 February 2024).
MLA Format
Henderson, Charles, Marcos D. Caballero, Alexis Knaub, and John Aiken, eds. Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination . 2017. 5 June 2017. 29 Feb. 2024 <https://journals.aps.org/prper/collections/quantitative-methods>.
BibTeX Export Format
@misc{ Title = {Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination }, Volume = {2024}, Number = {29 February 2024}, Month = {June 5, 2017}, Year = {2017} }
Refer Export Format

%A Charles Henderson %A Marcos D. Caballero %A Alexis Knaub %A John Aiken, (eds) %T Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination %D June 5, 2017 %U https://journals.aps.org/prper/collections/quantitative-methods %O text/html

EndNote Export Format

%0 Electronic Source %D June 5, 2017 %T Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination %E Henderson, Charles %E Caballero, Marcos D. %E Knaub, Alexis %E Aiken, John %V 2024 %N 29 February 2024 %8 June 5, 2017 %9 text/html %U https://journals.aps.org/prper/collections/quantitative-methods


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Citation Source Information

The AIP Style presented is based on information from the AIP Style Manual.

The AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles.

The APA Style presented is based on information from APA Style.org: Electronic References.

The Chicago Style presented is based on information from Examples of Chicago-Style Documentation.

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Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination :

Contains Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples

One of the 13 selected articles appearing in this special 2017 collection.

relation by Caroline Hall
Contains Beyond linear regression: A reference for analyzing common data types in discipline based education research

One of the 13 juried reference papers contained in the 2019 APS special collection, "Quantitative Methods in PER: A Critical Examination".

relation by Caroline Hall
Contains Longitudinal predictions using regression-corrected grouping to reduce regression to the mean

One of the 13 juried reference papers contained in this special 2019 collection.

relation by Caroline Hall
Contains Modernizing use of regression models in physics education research: A review of hierarchical linear modeling

One of the 13 invited articles included in this special 2019 collection.

relation by Caroline Hall
Contains Missing data and bias in physics education research: A case for using multiple imputation

One of the 13 juried articles contained in this special APS collection.

relation by Caroline Hall

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