Integrative data analysis in clinical psychology research.
paper
Cited
Public
- Authors
- Hussong, Andrea M; Curran, Patrick J; Bauer, Daniel J
- Year
- 2013
- Journal
- Annual review of clinical psychology
- PMID
- 23394226
- DOI
- 10.1146/annurev-clinpsy-050212-185522
- PMCID
- PMC3924786
Integrative data analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining longitudinal studies to cover a broader swath of the lifespan), and the opportunity to build a more cumulative science (i.e., examining the similarity of effects across studies and potential reasons for dissimilarities). There are also methodological challenges associated with IDA, including the need to account for sampling heterogeneity across studies, to develop commensurate measures across studies, and to account for multiple sources of study differences as they impact hypothesis testing. In this review, we outline potential solutions to these challenges and describe future avenues for developing IDA as a framework for studies in clinical psychology.
Building Commensurate Measures for IDA
Age and Study Trends in Select Items
Boxplots of factor score estimates by age and study with mean trends depicted by smoothed lines.
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| 20 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Model-based and Design-based Approaches | be both subjective and fallible. In response to these concerns, Neyman (1934) developed aβ¦ |
| 21 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Model-based and Design-based Approaches | The degree to which design- versus model-based approaches are used in practice varies by disciplineβ¦ |
| 22 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Extending Single-study Model-based Approaches to IDA | Whereas sampling of individual observations within a single study is characterized by more than aβ¦ |
| 23 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Extending Single-study Model-based Approaches to IDA | patients within a hospital). This two-tiered sampling framework allows for the estimation of randomβ¦ |
| 24 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Extending Single-study Model-based Approaches to IDA | In the absence of a large number of contributing studies, we may instead prefer a model-basedβ¦ |
| 25 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Extending Single-study Model-based Approaches to IDA | The fixed-effect approach, while powerful and practical, does not allow one to generalize results toβ¦ |
| 26 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Extending Single-study Model-based Approaches to IDA | For the purposes of study integration, this fixed-effects approach to modeling between-sampleβ¦ |
| 27 | BETWEEN-SAMPLE HETEROGENEITY DUE TO SAMPLING β Summary | In sum, any IDA application must carefully consider both the mechanism that resulted in the sampleβ¦ |
| 28 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT | A second fundamental issue in IDA is measurement. Often an initial stumbling block in conducting IDA⦠|
| 29 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β IDA Measurement Scenarios | It might seem that the ideal IDA scenario occurs when identical measures are used acrossβ¦ |
| 30 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β IDA Measurement Scenarios | This underlying issue is often clearer within more complex IDA measurement scenarios. As shown inβ¦ |
| 31 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β IDA Measurement Scenarios | other response options to create comparable frequency intervals across studies, thereby obtaining aβ¦ |
| 32 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β IDA Measurement Scenarios | A third and still more difficult measurement scenario, again drawing from our own work, involvesβ¦ |
| 33 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework | All of the previous scenarios involve single-item measures; often, contributing studies useβ¦ |
| 34 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework | Multi-item scales offer two key advantages for creating commensurate measures. First, for identicalβ¦ |
| 35 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework | We will illustrate these steps through an example from our own work, namely the scoring ofβ¦ |
| 36 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework β Preliminary feasibility analysis | A critical first step in the IDA framework for developing commensurate measures is to conduct aβ¦ |
| 37 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework β Selecting an item set | The second step in developing commensurate measures is item selection. This includes a review of allβ¦ |
| 38 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework β Selecting an item set | In our example, we selected items assessing internalizing symptoms administered as part of the Childβ¦ |
| 39 | BETWEEN-SAMPLE HETEROGENEITY DUE TO MEASUREMENT β Commensurate Measures in the IDA framework β Selecting an item set | In the next step, we examined descriptive statistics and performed graphical analysis for theseβ¦ |
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| A Dyadic Perspective of Felt Security: Does Partners' Security Buffer the Effects of Actors' Insecurity on Daily Commitment? | Sasaki E et al. | β | 2020 | β |
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| Characterizing the phenomenology of passive suicidal ideation: a systematic review and meta-analysis of its prevalence, psychiatric comorbidity, correlates, and comparisons with active suicidal ideation. | Liu RT et al. | β | 2020 | β |
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| Development of an international data repository and research resource: the Prospective studies of Acute Child Trauma and Recovery (PACT/R) Data Archive. | Kassam-Adams N et al. | β | 2020 | β |
| Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium. | Luningham JM et al. | β | 2020 | β |
| Intergenerational associations in onset of cannabis use during adolescence: A data synthesis approach. | Tiberio SS et al. | β | 2020 | β |
| Introduction to the special section on the intergenerational transmission of risk for substance use. | Kerr DCR et al. | β | 2020 | β |
| Mapping the Research Domain Criteria Social Processes Constructs to the Social Responsiveness Scale. | UljareviΔ M et al. | β | 2020 | β |
| Psychometric Data Linking Across HIV and Substance Use Cohorts. | Schalet BD et al. | β | 2020 | β |
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| The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims. | Sibley MH et al. | β | 2020 | β |
| World Health Organization risk drinking level reductions are associated with improved functioning and are sustained among patients with mild, moderate and severe alcohol dependence in clinical trials in the United States and United Kingdom. | Witkiewitz K et al. | β | 2020 | β |
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| Are older men more vulnerable to depression than women after losing their spouse? Evidence from three German old-age cohorts (AgeDifferent.de platform). | FΓΆrster F et al. | β | 2019 | β |
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| General Health and Life Satisfaction in Children With Chronic Illness. | Blackwell CK et al. | β | 2019 | β |
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| Not all alcohol use disorder criteria are equally severe: Toward severity grading of individual criteria in college drinkers. | Boness CL et al. | β | 2019 | β |
| What Affects the Completion of Ecological Momentary Assessments in Chronic Pain Research? An Individual Patient Data Meta-Analysis. | Ono M et al. | β | 2019 | β |
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| All for One and One for All: Mental Disorders in One Dimension. | Caspi A et al. | β | 2018 | β |
| Assessing distress in the community: psychometric properties and crosswalk comparison of eight measures of psychological distress. | Batterham PJ et al. | β | 2018 | β |
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| High agreement was obtained across scores from multiple equated scales for social anxiety disorder using item response theory. | Sunderland M et al. | β | 2018 | β |
| Impact of Behavioral Drug Abuse Treatment on Sexual Risk Behaviors: An Integrative Data Analysis of Eight Trials Conducted Within the National Drug Abuse Treatment Clinical Trials Network. | Brown JL et al. | β | 2018 | β |
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| The effects of exposure to images of others' suffering and vulnerability on altruistic, trust-based, and reciprocated economic decision-making. | Powell PA et al. | β | 2018 | β |
| Two-Year Impact of Prevention Programs on Adolescent Depression: an Integrative Data Analysis Approach. | Brown CH et al. | β | 2018 | β |
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| The measurement properties of the spence children's anxiety scale-parent version in a large international pooled sample of young people with autism spectrum disorder. | Magiati I et al. | β | 2017 | β |
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| Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders--promises and limitations. | Zhao Y et al. | β | 2016 | β |
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| Factors of Resilience in Informal Caregivers of People with Dementia from Integrative International Data Analysis. | Joling KJ et al. | β | 2016 | β |
| Neighborhood Γ Serotonin Transporter Linked Polymorphic Region (5-HTTLPR) interactions for substance use from ages 10 to 24 years using a harmonized data set of African American children. | Windle M et al. | β | 2016 | β |
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| Are there secondary effects on marijuana use from brief alcohol interventions for college students? | White HR et al. | β | 2015 | β |
| Cancer survivors' uptake and adherence in diet and exercise intervention trials: an integrative data analysis. | Adams RN et al. | β | 2015 | β |
| Candidate gene-environment interaction research: reflections and recommendations. | Dick DM et al. | β | 2015 | β |
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| Testing measurement invariance of the GHQ-28 in stroke patients. | Munyombwe T et al. | β | 2015 | β |
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