A statistical technique that combines results across a number of studies

captures the overall conclusions from individual reports

reviews often represent the particular bias of the writer and

may lack systematic comparison across different studies

Refers to the strength of the relationship between or magnitude of the difference of two variables

a meta-analysis could compare

the effect sizes across different studies

effect sizes can be assessed based on a single study or single measure (nonstandardized) or based on

converted measures that can be used to compare across studies or measures (standardized)

correlation coefficient (r) or Cohen's d are

types of standardized measures of effect size

meta-analysis key steps (based on the research question)

method for locating studies, establish criteria for including studies; selection of variables; classify, combine and code data

methods for locating studies

references from earlier meta-analytic studies; Review literature databases; Search the PsychLIT and Dissertation Abstracts

influences (but does not causally explain) the direction and/or strength of relationship between two other variables

Advantages of Meta-analysis

no data collection; large sample of studies; objective way to compare findings; evaluate effectiveness of an intervention

Disadvantages of Meta-analysis:

lack of high-quality research reports; file-drawer problem; search for studies, coding, and conducting the analysis need time and expertise

Bias in published research resulting from non-significant studies not being published (or even submitted)

file-drawer problem may lead to

concluding more of a scientific consensus than actually exists.

Be aware of participant reactivity and techniques for managing it,

such as concealment and habituation.

Carefully choose a system for coding observational data, taking

into account the need for both reliability and validity

Consider using a case study if you come across an individual

with an interesting set of behavioral characteristics.

Consider archival research if you are looking for a more efficient and more economical

approach to answering your research question

Be aware of the file drawer problem;

null findings on a particular phenomenon may be underreported.

As part of a literature review, consider using meta-analysis to

combine and analyze results across multiple studies

nonexpertmental designs

observational, case study, archival research, or meta-analysis

Meta-analysis requires: locating studies, determining criteria for inclusion into your study,

selecting variables, and finding the standardized effect size

Help

Options

focusNode

Didn't know it?
click below

Knew it?
click below

Don't Know

Remaining cards (0)

Know

retry

shuffle

restart

0:00

Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

Normal Size Small Size show me how

psy400ch10p245

META-ANALYSIS p245-

Term	Definition
Meta-analysis	A statistical technique that combines results across a number of studies
a review paper	captures the overall conclusions from individual reports
reviews often represent the particular bias of the writer and	may lack systematic comparison across different studies
Effect size	Refers to the strength of the relationship between or magnitude of the difference of two variables
a meta-analysis could compare	the effect sizes across different studies
effect sizes can be assessed based on a single study or single measure (nonstandardized) or based on	converted measures that can be used to compare across studies or measures (standardized)
correlation coefficient (r) or Cohen's d are	types of standardized measures of effect size
meta-analysis key steps (based on the research question)	method for locating studies, establish criteria for including studies; selection of variables; classify, combine and code data
methods for locating studies	references from earlier meta-analytic studies; Review literature databases; Search the PsychLIT and Dissertation Abstracts
Moderating variable	influences (but does not causally explain) the direction and/or strength of relationship between two other variables
Advantages of Meta-analysis	no data collection; large sample of studies; objective way to compare findings; evaluate effectiveness of an intervention
Disadvantages of Meta-analysis:	lack of high-quality research reports; file-drawer problem; search for studies, coding, and conducting the analysis need time and expertise
file-drawer problem	Bias in published research resulting from non-significant studies not being published (or even submitted)
file-drawer problem may lead to	concluding more of a scientific consensus than actually exists.
remedy to file-drawer problem is	a clinical trial registry
Be aware of participant reactivity and techniques for managing it,	such as concealment and habituation.
Carefully choose a system for coding observational data, taking	into account the need for both reliability and validity
Consider using a case study if you come across an individual	with an interesting set of behavioral characteristics.
Consider archival research if you are looking for a more efficient and more economical	approach to answering your research question
Be aware of the file drawer problem;	null findings on a particular phenomenon may be underreported.
As part of a literature review, consider using meta-analysis to	combine and analyze results across multiple studies
nonexpertmental designs	observational, case study, archival research, or meta-analysis
Meta-analysis requires: locating studies, determining criteria for inclusion into your study,	selecting variables, and finding the standardized effect size

Created by: james22222222

"Know" box contains:
Time elapsed:
Retries: