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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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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...
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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Longitudinal Studies01:26

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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...
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Burden and Inattentive Responding in a 12-Month Intensive Longitudinal Study: Interview Study Among Young Adults.

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Summary
This summary is machine-generated.

Intensive longitudinal data (ILD) studies face challenges with participant inattentive responding (IR). Understanding factors like social context and motivation is key to improving data quality in ecological momentary assessment (EMA) surveys.

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burdencareless respondingdata qualityecological momentary assessmentexit interviewintensive longitudinal data collectionmobile phone

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Area of Science:

  • Social and behavioral research
  • Psychology
  • Health behavior studies

Background:

  • Intensive longitudinal data (ILD) collection is valuable for understanding behavior over time.
  • Participant burden in ILD studies can lead to inattentive responding (IR), impacting data quality.
  • Previous research has not fully explored the underlying processes of IR in ILD.

Purpose of the Study:

  • To qualitatively explore the processes and factors contributing to inattentive responding (IR) in intensive longitudinal data (ILD) studies.
  • To generate hypotheses for future research aimed at improving data quality in long-term studies.

Main Methods:

  • Conducted semistructured qualitative exit interviews with 31 young adult participants (aged 18-29).
  • Participants completed a 12-month health behavior study using daily and hourly smartphone-based ecological momentary assessment (EMA) surveys.
  • Interviews assessed motivations, contextual impacts, changes in response patterns, and perceptions of attention check questions (ACQs).

Main Results:

  • Five themes emerged regarding factors influencing participant engagement and data quality.
  • Social influences (friends/family), desire for speed, survey repetitiveness, effectiveness of ACQs, and varying participant motivations were identified.
  • Neutral responses and the impact of social context on survey tolerance were significant findings.

Conclusions:

  • Participant perceptions reveal key factors influencing inattentive responding (IR) in intensive longitudinal data (ILD) studies.
  • Findings suggest improving EMA survey design by considering social context, dynamic motivations, and strategic use of attention check questions (ACQs).
  • Addressing these factors can enhance participant engagement and maximize the scientific value of long-term studies.