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Working and ageing - Cedefop - Europa

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<strong>Working</strong> <strong>and</strong> <strong>ageing</strong><br />

Guidance <strong>and</strong> counselling for mature learners<br />

5.2. Methodological considerations<br />

There are several methodological considerations when discussing cognitive<br />

<strong>ageing</strong>. As mentioned above pathological <strong>and</strong> non-pathological <strong>ageing</strong> form<br />

a continuum, so it is inevitable that some studies will include participants with<br />

a pathological condition in their sample. Another issue is isolating the age<br />

factor when interpreting results. Cognitive <strong>ageing</strong> is a multifaceted<br />

phenomenon affected by various factors which makes it difficult to find cause<br />

<strong>and</strong> effect relationships even in the most controlled studies. Most empirical<br />

evidence is based on cross-sectional studies that typically compare younger<br />

with older adults simultaneously. The observed differences in performance<br />

are explained in relation to the age factor but there are other possible<br />

explanations; for example premorbid intelligence is considered a significant<br />

predictor of cognitive performance in older adults. In addition, there may be<br />

other confounding variables, such as lifelong training <strong>and</strong> lifestyle that may<br />

improve or underpin differences between the two populations (Hedden <strong>and</strong><br />

Gabrieli, 2004). Ideally, longitudinal studies, which involve following-up the<br />

same participants across the life span, would provide more coherent<br />

information on cognitive <strong>ageing</strong>. Such studies are more difficult to perform as<br />

they require long-term data collection <strong>and</strong> need a large cohort that will<br />

inevitably decrease over the years.<br />

Deary et al. (2009) noted that although the profile of normal <strong>ageing</strong> is well<br />

established, with some cognitive abilities being more affected than others, the<br />

factors that underpin cognitive decline are weakly supported by empirical data.<br />

Most studies show small effect sizes (

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