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

Longitudinal Research02:20

Longitudinal Research

12.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.8K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

5.8K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
5.8K
Archival Research01:40

Archival Research

16.7K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.7K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

876
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
876
Longitudinal Studies01:26

Longitudinal Studies

297
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
297
Case Studies01:22

Case Studies

12.8K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
12.8K

You might also read

Related Articles

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

Sort by
Same author

Reduction of Mental Health-Related Emergency Department Admissions for Youth and Young Adults Following a Remote Intensive Outpatient Program: Quality Improvement Analysis.

JMIR formative research·2023
Same author

Predicting Youth and Young Adult Treatment Engagement in a Transdiagnostic Remote Intensive Outpatient Program: Latent Profile Analysis.

JMIR formative research·2023
Same author

The Impact of Family Therapy Participation on Youths and Young Adult Engagement and Retention in a Telehealth Intensive Outpatient Program: Quality Improvement Analysis.

JMIR formative research·2023
Same author

Mental Health Outcomes for Youths With Public Versus Private Health Insurance Attending a Telehealth Intensive Outpatient Program: Quality Improvement Analysis.

JMIR formative research·2022
Same author

Resilience in the system: COVID-19 and immigrant- and refugee-serving health and human service providers.

Families, systems & health : the journal of collaborative family healthcare·2021
Same author

Association between medical student debt and choice of specialty: a 6-year retrospective study.

BMC medical education·2019

Related Experiment Video

Updated: Oct 31, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

8.7K

Missing Data in Research on Youth and Family Programs.

Jaime Ballard1, Adeya Richmond1, Suzanne van den Hoogenhof1

  • 1Department of Agricultural Economics, Sociology and Education, Pennsylvania State University, State College, PA, USA.

Psychological Reports
|July 1, 2021
PubMed
Summary

Site-level missing data is a significant issue in multilevel studies, impacting youth and family programs. Addressing this requires new statistical and research design methods to improve data accuracy.

Keywords:
Applications of statistical techniquecorrect use of statistical techniquesmissing datapsychometricsservice provision

More Related Videos

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
07:56

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Published on: September 19, 2019

10.2K
Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.1K

Related Experiment Videos

Last Updated: Oct 31, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

8.7K
Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
07:56

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Published on: September 19, 2019

10.2K
Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.1K

Area of Science:

  • Multilevel Data Analysis
  • Program Evaluation
  • Missing Data Methods

Background:

  • Multilevel data present unique challenges with missing information at both individual and higher levels (e.g., program sites).
  • Understanding higher-level missing data is crucial for effective evaluation design and statistical analysis.

Purpose of the Study:

  • To investigate the prevalence and patterns of missing data at individual and program site levels in a large-scale youth and family program evaluation.
  • To identify factors contributing to missing data and inform strategies for mitigation.

Main Methods:

  • Analysis of data from 9,514 individuals across 47 youth and family programs nationwide.
  • Data were assessed for missingness at item, scale, and wave levels for individuals and program sites before and after participation.

Main Results:

  • Site-level missing data constituted a substantial proportion, ranging from 0-46% at pre-test and 35-71% at post-test.
  • Youth missing data was common, potentially due to survey fatigue, but site-level data missingness was not associated with participant age.

Conclusions:

  • A significant portion of individual missing data is attributable to program sites not administering assessments.
  • There is a critical need for statistical methods accounting for site-level missing data and research designs to minimize its occurrence and impact.
  • Recommendations include enhancing site collaboration, revising problematic items, and reporting missing data mechanisms in multilevel research.