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How Can We Learn About Developmental Processes From Cross-Sectional Studies, or Can We?
OBJECTIVE: Cross-sectional studies are often used in psychiatric research as a basis of longitudinal inferences about developmental or disease processes. While the limitations of such usage are often acknowledged, these are often understated. The authors describe how such inferences are often, and s...
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Published in: | The American journal of psychiatry 2000-02, Vol.157 (2), p.163-171 |
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creator | Kraemer, Helena Chmura Yesavage, Jerome A. Taylor, Joy L. Kupfer, David |
description | OBJECTIVE: Cross-sectional studies are often used in psychiatric research as a basis of longitudinal inferences about developmental or disease processes. While the limitations of such usage are often acknowledged, these are often understated. The authors describe how such inferences are often, and sometimes seriously, misleading. METHOD: Why and how these inferences mislead are here demonstrated on an intuitive level, by using simulated data inspired by real problems in psychiatric research. >RESULTS: Four factors with major roles in the relationship between cross-sectional studies and longitudinal inferences are selection of time scale, type of developmental process studied, reliability of measurement, and clarity of terminology. The authors suggest how to recognize inferential errors when they occur, describe how to protect against such errors in future research, and delineate the circumstances in which only longitudinal studies can answer crucial questions. CONCLUSIONS: The simple conclusion is that one must always use the results of cross-sectional studies to draw inferences about longitudinal processes with trepidation. |
doi_str_mv | 10.1176/appi.ajp.157.2.163 |
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While the limitations of such usage are often acknowledged, these are often understated. The authors describe how such inferences are often, and sometimes seriously, misleading. METHOD: Why and how these inferences mislead are here demonstrated on an intuitive level, by using simulated data inspired by real problems in psychiatric research. >RESULTS: Four factors with major roles in the relationship between cross-sectional studies and longitudinal inferences are selection of time scale, type of developmental process studied, reliability of measurement, and clarity of terminology. The authors suggest how to recognize inferential errors when they occur, describe how to protect against such errors in future research, and delineate the circumstances in which only longitudinal studies can answer crucial questions. CONCLUSIONS: The simple conclusion is that one must always use the results of cross-sectional studies to draw inferences about longitudinal processes with trepidation.</description><identifier>ISSN: 0002-953X</identifier><identifier>EISSN: 1535-7228</identifier><identifier>DOI: 10.1176/appi.ajp.157.2.163</identifier><identifier>PMID: 10671382</identifier><identifier>CODEN: AJPSAO</identifier><language>eng</language><publisher>Washington, DC: American Psychiatric Publishing</publisher><subject>Aging - physiology ; Biological and medical sciences ; Cross-Sectional Studies ; Disease Progression ; Epidemiologic Factors ; Errors ; Evaluation ; Human Development ; Humans ; Longitudinal Studies ; Medical sciences ; Mental disorders ; Mental Disorders - diagnosis ; Mental Disorders - epidemiology ; Methodology. Experimentation ; Processes ; Psychiatry ; Psychiatry - standards ; Psychiatry - statistics & numerical data ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. 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While the limitations of such usage are often acknowledged, these are often understated. The authors describe how such inferences are often, and sometimes seriously, misleading. METHOD: Why and how these inferences mislead are here demonstrated on an intuitive level, by using simulated data inspired by real problems in psychiatric research. >RESULTS: Four factors with major roles in the relationship between cross-sectional studies and longitudinal inferences are selection of time scale, type of developmental process studied, reliability of measurement, and clarity of terminology. The authors suggest how to recognize inferential errors when they occur, describe how to protect against such errors in future research, and delineate the circumstances in which only longitudinal studies can answer crucial questions. CONCLUSIONS: The simple conclusion is that one must always use the results of cross-sectional studies to draw inferences about longitudinal processes with trepidation.</description><subject>Aging - physiology</subject><subject>Biological and medical sciences</subject><subject>Cross-Sectional Studies</subject><subject>Disease Progression</subject><subject>Epidemiologic Factors</subject><subject>Errors</subject><subject>Evaluation</subject><subject>Human Development</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Medical sciences</subject><subject>Mental disorders</subject><subject>Mental Disorders - diagnosis</subject><subject>Mental Disorders - epidemiology</subject><subject>Methodology. Experimentation</subject><subject>Processes</subject><subject>Psychiatry</subject><subject>Psychiatry - standards</subject><subject>Psychiatry - statistics & numerical data</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. 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source | Applied Social Sciences Index & Abstracts (ASSIA); American Psychiatric Publishing Journals (1997-Present) |
subjects | Aging - physiology Biological and medical sciences Cross-Sectional Studies Disease Progression Epidemiologic Factors Errors Evaluation Human Development Humans Longitudinal Studies Medical sciences Mental disorders Mental Disorders - diagnosis Mental Disorders - epidemiology Methodology. Experimentation Processes Psychiatry Psychiatry - standards Psychiatry - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Reproducibility of Results Research Design - standards Research Design - statistics & numerical data Techniques and methods Terminology as Topic Time Factors |
title | How Can We Learn About Developmental Processes From Cross-Sectional Studies, or Can We? |
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