Cohort Effects
Cohort Effects - Related Videos
08:53
Preparation of Single-cohort Colonies and Hormone Treatment of Worker Honeybees to Analyze Physiology Associated with Role and/or Endocrine System
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Cited by 5 •
2016
Here we describe our detailed protocol for the preparation of single-cohort honeybee colonies – a useful tool for analyzing the role-associated worker physiology. We also describe detailed protocols for treating workers with juvenile hormone and ecdysone to evaluate the involvement of these hormones in the regulation of worker behavior and/or physiology.
02:19
Buffer Effectiveness
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2020
Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised. The buffer capacity is the amount of acid or base that can be added to a given volume...
03:26
Framing Effects
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2020
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in different ways based on the...
09:16
A General Method for Evaluating Deep Brain Stimulation Effects on Intravenous Methamphetamine Self-Administration
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Cited by 5 •
2016
This article describes the delivery of intracranial electrical stimulation that is temporally and spatially separate from the drug-use environment for the treatment of IV methamphetamine dependence.
02:59
Biological Effects of Radiation
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2020
All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they produce ions...
FAQs
Researchers compare whether a difference follows people who share a birth period, appears as individuals mature, or affects people broadly during the same calendar period. A pattern associated with one generation suggests a cohort influence, whereas changes linked to development suggest age. Separating these possibilities prevents historical circumstances from being misinterpreted as universal psychological maturation.
Experiences during education and other formative periods can shape attitudes, behaviors, abilities, and health outcomes in ways that remain visible later in life. The influence may reflect the distinctive conditions encountered by a particular group rather than a temporary response to age. Consequently, researchers may observe lasting differences even when cohorts are assessed at similar ages.
Changes in technology, education, economic conditions, and major social events can provide different developmental environments for successive birth groups. These conditions may influence how people learn, behave, form attitudes, or experience health outcomes. Examining the historical context of each cohort therefore helps explain why groups can differ without assuming that one group is simply older or younger.
An age-group difference may reflect several influences at once: maturation, the historical period of measurement, and experiences shared by a birth cohort. For example, a difference observed between younger and older participants cannot automatically be attributed to development. This complication requires psychologists to consider historical context alongside age when interpreting group comparisons and developmental findings.
Researchers should ask whether the study design separates differences between age groups from differences between birth cohorts and measurement periods. Cross-sectional findings can confuse these influences because groups of different ages may also have different histories. Longitudinal findings provide observations across time, but interpretation still requires attention to the cohort’s formative circumstances and changing historical context.
Cohort effects help researchers determine whether observed changes reflect individual maturation, historical context, or both. This distinction can refine developmental theories by showing when a finding may apply broadly and when it may be specific to people shaped by particular conditions. The same reasoning supports interpretation of research on attitudes, behaviors, abilities, and health outcomes.