Chapter 14 Ledford Flashcards
synthesis
reviewing results of similar studies and drawing broad conclusions about the state of the evidence
meta-analysis
a way to synthesize outcomes
- a technique for encoding and analyzing the statistics that summarize research findings
three reasons for careful consideration of using syntheses of outcomes across studies
- they are critical tools for guiding decision-making regarding evidence-based practices
- can be helpful in identifying variation in treatment effects in different contexts or different participants
- can contribute to advancements in SCD methodology
research question steps
- participants
- intervention
- comparators
- outcomes
- study
gray literature
conference abstracts, dissertations, theses
coding steps
- identify what information should be coded at each level
- write and pilot a detailed coding manual’- code all studies using the coding manual
- summarize information
data extraction
a multi-step process for determining and recording the x and y values of data points
benefits of meta-analysis of SCD
- average treatment effects reported in primary studies can be estimated with greater power
- variation in the overall treatment effect between studies can be explored and explained
effect size
an estimation of the overall magnitude of behavior change
3 approaches for synthesizing SCDs
- comparing overlap across conditions
- comparing means across conditions
- modeling data patterns across conditions
overlap metrics
- designed for use with visual analysis to describe the magnitude of intervention effectiveness
- measures the degree of non-overlap between adjacent conditions via pairwise comparisons or evaluations of overlap in the highest or lowest levels of a condition
drawbacks of overlap metrics
- inconsistencies between overlap metrics and visual analysis are likely to occur given the failure of overlap metrics to account for all characteristics of data, magnitude of differences, or consistency of effects
mean-based metrics
an alternative approach to synthesizing SCD outcomes that provide traditional standardized effect size measurements of the magnitude of behavior change
log response ratio (LRR)
- a mean-based effect size index that quantifies the magnitude of behavior change between two adjacent conditions
- can be calculated for outcomes with positive (LRR increasing) or negative (LRR decreasing) valence