Graphing Age Trajectories: Vector Graphs, Synthetic and Virtual Cohort Projections, and Virtual Cohort Projections, and Cross-Sectional Profiles of Depression  

Oleh:

Mirowsky, John ; Kim, Jinyoung

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 35 no. 04 (May 2007), page 497-541.
Topik: Depression; Life Course; Latent Growth Models; Age-Period-Cohort
Fulltext: SMR vol.35 no.4 p.497 May 2007_win.pdf (798.7KB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Surveys often sample adults across a broad range of ages, measuring the same outcomes in several interviews spaced during a period of years and comparing the changes observed across segments of the adult life course. Put in sequence, those change vectors provide a composite image of the outcome's life course trajectory. To illustrate, the authors estimate depression vectors in a sample of U.S. adults ages 18 and older at baseline in 1995, with follow-up interviews in 1998 and 2001. They show the vector equations and their graphs and also their synthetic-cohort projection. The authors introduce the trend-function and virtual-cohort projection, showing how they provide tests of ``convergence'' and other hypotheses about trajectories and trends. Results show depression dropping and then rising across adulthood more steeply than suggested by cross-sectional differences among age groups. They also indicate a rise and fall in age-specific levels of depression across cohorts.

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