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Table 1 Scoring sheet for quality assessment at study level (adapted from Schindler et al. [62])

From: Effectiveness of management interventions for control of invasive Common ragweed Ambrosia artemisiifolia: a systematic review protocol

Bias and generic data quality features

Specific data quality features

Design of assessed study

Quality score

Selection and performance bias: study design

Temporal repetition

Complete before–after (BA) time series (>1 replicates before and after)

25

Interrupted BA time series (>1 replicates before and after)

20

BA comparison (1 before, >1 after)

15

BA comparison (>1 before, 1 after)

14

BA comparison (1 before, 1 after)

10

Deficient BA comparison (e.g. before-data from archives or not from exactly the same sites)

2

No BA comparison

0

Spatial repetition

Gradient of intervention intensity including “zero-control”-sites

25

Site comparison/control-impact (CI) (>1 replicates control and impact)

20

Site comparison/control-impact (CI) (1 control, >1 impact)

15

Site comparison/control-impact (CI) (>1 control, 1 impact)

14

Site comparison/control-impact (CI) (1 control, 1 impact)

10

Gradient of intervention intensity without “zero-control”-sites

5

Deficient CI comparison (e.g. control-data from archives or not from the same period)

1

No CI comparison

0

Assessment bias: measurement of outcome

Replicates per treatment (number of sites)

Well replicated (>9 replications) and measured at independent sites

20

Well replicated (>9 replications) and measured at neighbouring sites

15

Replicated (4–9 replications) and measured at independent sites

10

Replicated (4–9 replications) and measured at neighbouring sites

8

Poorly replicated (2–3 replications) and measured at independent sites

4

Poorly replicated (2–3 replications) and measured at neighbouring sites

3

Unreplicated observations of objective parameters

1

Data gathered by expert opinion or questionnaire

0

Method to measure outcome

Method to measure outcome perfectly appropriate for purpose

4

Method to measure outcome of limited suitability

0

Coverage

Large scale (large plots, or large overall extent)

2

Intermediate scale

1

Small scale

0

Selection and performance bias: baseline comparison (heterogeneity between treatment and control arms with respect to defined confounding factors before treatment)

Sampling

Treatment and control arms homogenous

2

Treatment and control arms hardly comparable due to different sampling OR insufficient information

0

Habitat type

Treatment and control arms homogenous

2

Treatment and control arms hardly comparable due to different habitat OR insufficient information

0

Other confounding environmental factors

Treatment and control arms homogenous

2

Treatment and control arms hardly comparable with respect to confounding factors OR insufficient information

0

Selection and performance bias: intra treatment variation (heterogeneity within both treatment and control arms with respect to confounding factors)

Intervention type and intensity

No heterogeneity within treatment and control arms

2

Replicates within treatment and control arms hardly comparable

0

Habitat type

No heterogeneity within treatment and control arms

2

Replicates within treatment and control arms hardly comparable

0

Bias linked to clarity and publication bias

Overall consistency and clarity of the paper

High

2

Low

0

Statistical approaches appropriate

Yes

4

No

0

Clarity of the description of the method incl. statistical models used

High

2

Low

0

Clarity of the presentation of the results (incl. statistics)

High

2

Low

0

Missing values for nonsignificant results causing publication/reporting bias

No

4

Yes

0

  1. For each specific data quality feature one option listed under “design of assessed study” must be chosen