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Related Concept Videos

Surveys02:16

Surveys

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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 Research02:20

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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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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Life Tables01:22

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Applications of Life Tables01:22

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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Related Experiment Video

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Setting up a life course questionnaire.

Francesca Sampogna1

  • 1Health Services Research Unit, Istituto Dermopatico dell’Immacolata (IDI)-IRCCS, Rome, Italy. fg.sampogna@gmail.com

Current Problems in Dermatology
|June 26, 2013
PubMed
Summary

This chapter provides guidelines for creating life course questionnaires to measure cumulative life course impairment (CLCI). It emphasizes the importance of validity, reliability, and longitudinal data collection for assessing health trajectories.

Area of Science:

  • Health Measurement
  • Longitudinal Studies
  • Psychometrics

Background:

  • Measuring abstract concepts is crucial for practical application.
  • Life course questionnaires require specific properties like validity and reliability.
  • Cumulative Life Course Impairment (CLCI) is a longitudinal construct assessing risk accumulation and timing.

Purpose of the Study:

  • To provide guidelines for developing life course questionnaires.
  • To define the measurement properties of a valid instrument.
  • To introduce the concept and measurement of Cumulative Life Course Impairment (CLCI).

Main Methods:

  • Defining measurement concepts and instrument properties (validity, reliability, responsiveness, interpretability).
  • Establishing the construct of Cumulative Life Course Impairment (CLCI).

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  • Incorporating the longitudinal nature of CLCI and time into questionnaire design.

    • Main Results:

    • CLCI measurement necessitates accounting for the accumulation and timing of risks over an individual's life.
    • Questionnaires assess disease impact, including comorbidities, stigma, and coping mechanisms.
    • Personal and clinical factors influence life trajectory deviations from an unaffected course.

    Conclusions:

    • A well-defined construct and validated measurement tools are essential for life course research.
    • Longitudinal assessment is critical for understanding cumulative health impacts.
    • The chapter proposes an example life course questionnaire for practical application.