Latest News And Announcements

Call for Abstracts IMPS 2020

The Psychometric Society invites you to submit an abstract for an individual oral presentation, individual poster presentation, or symposium for IMPS 2020.

This year IMPS is using new software to collect abstracts and to help organize our conference program. All abstract submissions will occur through the weblink: https://imps2020.exordo.com. The deadline for all submissions is February 15, 2020.

An individual oral presentation is an approximately 15-minute lecture-style presentation having one or more authors. The individual oral presentations will be organized into sessions of approximately five presentations based on topic similarity. An individual poster presentation is a poster-style presentation having one or more authors. The individual poster presentations will occur concurrently over an approximately two-hour period at a special poster session during the conference. The poster session occurs at a time at which no other conference sessions are running.

symposium is a group of talks that will appear in one session, and are brought together by a symposium organizer. For each submitted symposium, the symposium organizer should first submit a symposium overview abstract. This abstract should provide a brief (<250 words) description of the overarching theme of the presentations to be included in the symposium as well as the last names of the symposium presenters for each talk. The only author listed for the symposium overview submission abstract should be the symposium organizer.

Renew Your Membership Today!

It is time to renew your membership in the Psychometric Society.  The Society is in the process of redesigning its website and moving to a more dynamic web platform.  One part of that process requires a new system for our membership database.

Regardless of whether or not you signed up for a recurring membership in the past, we need all members to follow the process below in order to be registered in the new system.  To ensure your personal information remains secure, no credit card information was transferred to the new platform and must be reentered.

When you click on the link below, you will be directed to a login page. Please click on “I forgot my login name or password” under the Log In button.  You will be sent a password recovery link to the email address in your membership file. Follow these instructions to set a new password and pay your membership dues.

https://psychometricsociety.z2systems.com/np/clients/psychometricsociety/login.jsp

If you don’t receive the email message within an hour, please first check your spam filter.  If the message is not there, email info@psychometricsociety.org and a Member Service representative will contact you to assist.

Thank you for your continued support of the Psychometric Society!

Psychometrika call for papers: Special issue on forecasting with intensive longitudinal data

Psychometrika - CALL FOR PAPERS

Special issue on: Forecasting with Intensive Longitudinal Data

The collection of longitudinal data in the social and behavioral sciences has been revolutionized by the widespread availability of information technologies such as smart phones, social media, physiological sensors, online games and simulations, virtual and augmented reality, and the internet more generally. We use the term intensive longitudinal data (ILD) inclusively, to encompass data coming from a broad range of data collection methods and research designs that are characterized by a relatively large number (e.g., > 60 time points) of multivariate observations collected over time from multiple respondents. ILD present challenges in the application of conventional “large N, small T” methods for longitudinal data (e.g., growth curves, panel models) as well as “small N, large T” methods such as time series analysis and signal processing. One challenge in particular that has received relatively little attention in the social science literature is that of forecasting constructs of interests such as behaviors (e.g., substance abuse) and emotions (e.g., depressive states). Forecasting allows for real-time inferences to be made on the basis of ongoing data collection, which is a key methodological step toward harnessing the full potential of ILD. The purpose of this special issue is to promote contributions that apply or develop new methods to address the problem of forecasting of future events in ILD.

The types of forecasting applications we have in mind are characterized by the following. This list is intended to be illustrative, not exhaustive.

  • Data-based protocols for clinical interventions (e.g., nudges, just-in-time interventions).

  • The use of educational technologies to support optimal learning trajectories.

Cast your vote!

Dear Psychometric Society Member,

Please take a moment to vote for the new President of the Psychometric Society, two new members of the Board of Trustees, and one new member of the Editorial Council. We greatly value your participation.

Information about all candidates (pictures and bios) is posted here.

Online voting is easy. Simply go to the electronic ballot and rank the candidates. This will require you to log in as a member. If you don't remember your username or password, you can easliy reset both by selecting "Request New Password." Elections close on November 15 (5:00 p.m., PST).
 

Special issue on Network Psychometrics in Action - Applications and Case Studies

Psychometrika - CALL FOR PAPERS
Special issue on: Network Psychometrics in Action - Applications and Case Studies

The idea that properties measured by psychological tests are best seen as complex systems in which specific emotions, thoughts, and behaviors interact with one another has inspired the network approach in psychometrics. Graphical models, or networks, have become a popular alternative to classic psychometric approaches using latent variables. This popularity is partly due to the development of new methods and new software that have made it easy for researchers to estimate graphical models based on psychological data, visualize the estimated structures, and conduct psychometric analyses of the estimated networks. These tools have made the network approach highly accessible, and thus facilitated a flourishing literature on applied network approaches to, among others, psychopathology, intelligence, personality, and political attitudes.

 

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