SECONDARY DATA ANALYSIS. Overview Background Components Examples Challenges Opportunities.
-
Upload
christian-lane -
Category
Documents
-
view
218 -
download
0
Transcript of SECONDARY DATA ANALYSIS. Overview Background Components Examples Challenges Opportunities.
SECONDARY DATA ANALYSIS
Overview
Background Components Examples Challenges Opportunities
What is it? (Hint: You’re already doing it)
Secondary data analysis Analyzes data from an existing data set
Data you did not collect yourself (colleague, collaborator, professor)
Data from a study focused on something else (primary analyses/papers already complete)
Data collected for some other purpose (medical records, transcripts, etc.)
Also called “primary analysis of existing data” or “archival data analysis” Distinguishes from merely re-testing the same
hypotheses
Data Sets: Examples
Inter-university Consortium for Political and Social Research (ICPSR) http://www.icpsr.umich.edu/icpsrweb/ICPSR/
access/subject.jsp Catalogue of many public data sources
Midlife in the United States (MIDUS) http://www.midus.wisc.edu/ National longitudinal study of health and
well-being
Components
1. Permission Often requires a “data usage agreement”
Rules about which analyses will be conducted, authorship, timeliness
May require IRB approval
2. Data dictionary Protocol, measures, descriptive statistics Quality varies: Non-existent, paper files,
Excel, PDF
3. Data file SPSS, Excel, SAS
Challenges
Upfront investment: Varying quality of data dictionaries and collaborators
Imperfect measures You might want a quality measure of
extraversion, and all they have is a single item on optimism
Politics: Some psychology departments quantify science in terms of studies-per-paper rather than papers-per-study may be viewed as lesser science, or may require theses/dissertations to use “original” data collection
Opportunities
Upfront investment = delayed gratification Efficient on many levels
Implementation, publishing, funding Significance
High-quality studies May begin by asking the PI, “What is the most
important finding in the data set you’ve never had time to publish?”
Can be symbiotic (mutually beneficial) Own posters/presentations/publications, PI is
happy for added productivity (publications are good, helps with funders)
Salzman study as of 9/24/15
Data Set
PI
Mentees ExternalCollaborators
Failed Aim 1
Article
ArticleManuscriptSubmitted
Manuscript
Manuscript
Manuscript
ManuscriptSubmitted
Manuscript
Manuscript
FundedGrant
FundedGrant
FundedGrant
ManuscriptSubmitted
MastersThesis
ManuscriptSubmitted
Manuscript
Manuscript
Manuscript
FundedGrant
FundedGrant
FundedGrant
Also: 16 conference posters/presentations, 3 promotions, 3 students advancing on to higher degree programs, 4 students who were able to attend a national conference