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Table 1 Variables and Definitions Used in Systematic Review

From: A systematic review of the quality of homeopathic clinical trials

Variable

Definition

Sample size

Number of subjects who participated in the research at the initiation of the study

Gender

Percent of sample male/female

Age

Average age of sample

Ethnicity

Percent of identified racial or ethnic categories

Response rate

Sample size divided by the total number of people approached for participation

Attrition rate

Number of subjects finishing study divided by sample size

Sampling Frame

How sample was identified–random, systematic, mixed, none, not indicated

Research Design

Prospective, cross-sectional or retrospective design

Statistics

Based on highest level used: descriptive, univariate, or multivariate

Funding Source

Who paid for research

Control Group

Whether or not a control group was used in design

Reliability

Any indication of the reliability of any measure used.

Random assignment

Use of random assignment to groups

Confounding variable

Any measurement or statistical applications that attempt to identify and control for variables that might influence outcomes independent of treatment.

Threats to validity

Threats to Statistical Conclusion Validity

Low statistical power

Rated as any groups < 10 or correlations with fewer than 30 pairs.

Violated assumption

Evidence of non-normal distributions with parametric statistics

Fishing/error rate

More than 10 statistical tests without a Bonferroni (or similar) correction.

Reliability of measures

Failure to test, note or reference information on measures

Reliability of treatment

Failure to test or note consistently of the application of treatments

Random irrelevancies

Absence of effort to make measurements reasonably consistent.

Random heterogeneity representative

Absence of effort to ensure that sample is reasonably

Threats to Internal validity

History

Repeated measures without temporal control

Maturation

Repeated measures without temporal control on developmentally sensitive outcomes.

Testing

Use of measures that are sensitive to the testing process.

Instrumentation

Use of poorly or uncalibrated measures.

Statistical regression

Study of cases selected from extremes without control group

Mortality

More than 30% of sample did not complete study

Interaction with selection

Evidence that selection into groups might interact with history, maturation, or testing.

Ambiguity of cause

An association that can be interpreted in either direction vis-à-vis cause and effect.

Diffusion of treatment

Contact between experimental and control subjects.

Compensatory work to Equalization

Evidence that groups are knowledgeable about design and might Equal things out.

Compensatory rivalry

Evidence that groups are knowledge about design and might compete with other group members.

Resentful demoralization

Evidence that one group feels disadvantaged through group assignment process.

Threats to Construct Validity

Inadequate explication

Evidence that choice of measurement operations does not represent the construct.

Mono-operation bias

Use of only one question for central outcome

Mono-method bias

Use of only one measurement approach (e.g self report) for central outcome

Hypothesis guessing

Evidence that subjects might attempt to guess what results should be (absence of appropriate blinding procedures).

Evaluation apprehension

Evidence that subjects might become anxious during assessments.

Experimenter bias

Absence of controls to keep invested parties from participating in the measurement procedures.

Confounding constructs

Range restriction in measurement

With level of constructs

 

Threats to External Validity

Interaction of different Treatment

Failure to assess additional treatment received during study.

Interaction of testing And treatment

Evidence that testing might be related to the treatment so that subjects complete tests differently after treatment.

Restricted generalizability

Evidence of a limited measurement approach that may not generalize.

Sample bias

Evidence of a poorly chosen sample that does not represent the population considered.

Interaction of selection And treatment

Evidence that group assignment is influenced by variables related to the likelihood of response to treatment

Interaction of setting And treatment

Evidence that treatment works only in some settings.

Interaction of history And treatment

Evidence that the time during which the study was done may have an impact on findings.