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Erratum to 'Measuring the unmeasurable? A method to quantify adoption of integrated pest management practices in temperate arable farming systems'.
Pest Management Science ( IF 3.8 ) Pub Date : 2020-07-09 , DOI: 10.1002/ps.5953


The authors have identified several errors in the article by Creissen et al .1 These occurred because of a small error in the dataset on which the analysis was based. These errors do not affect the overall results reported, nor the conclusions made.

The authors have supplied the following corrections to the published article:

  1. In the Abstract, the range of IPM scores for farmers in the sample should be: (minimum 32.6 points, mean score of 67.1).
  2. In the Abstract, the number of farmers scoring more than 85 of a possible 100 on the metric should be: 15 of 225 farmers (6.7%).
  3. In Section 3.3, the range farmer IPM scores should be: 32.6–91.3, with a mean of 67.1 and a standard deviation of 13.1 (coefficient of variation 19.6%).
  4. In Section 3.3, as mentioned at (1) above, only 15 of 225 farmers (6.7%) scored more than 85 on a possible IPM scale of 100.
  5. Figure 2 has been slightly modified, but remains very similar to the originally published version. The corrected version is presented here.
  6. Appendix S5 has been slightly modified, but remains very similar to the originally published version. The corrected version is presented here.
  7. A revised Table 6 is presented below. Previously expressed conclusions about the coherence of individual measures with the IPM construct are unchanged.
  8. In Section 4, the minimum IPM score for farmers in the sample should be > 30.

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Figure 2
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Distribution of sample by IPM score.
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Appendix S5
Open in figure viewerPowerPoint
Normal probability‐probability plot of the data
Table 6. Correlation of component questions with overall IPM score and Cronbach's alpha test
Specific question within the survey Correlation with total (standardised scores) Alphaaa High alpha scores (> 0.7) for a specific question indicate a high correlation of that question with the overall score.
Q3. What proportion of land on your farm is in continuous cereals production? 0.291407 0.711150
Q5. Why do you typically use an arable rotation? 0.445569 0.679078
Q7. What influences your choice of crop variety? 0.328368 0.703651
Q8a. What preventive measures are used to control weeds 0.485073 0.670518
Q8b. What preventive measures are used to control diseases 0.568066 0.652071
Q8c. What preventive measures are used to control insects 0.395714 0.689679
Q9. What factors do you consider when deciding on your pest management plan? 0.467030 0.674445
Q14. Membership of an agronomy/crop discussion group? 0.280090 0.713423
  • a High alpha scores (> 0.7) for a specific question indicate a high correlation of that question with the overall score.


中文翻译:

勘误到“测量无法测量?一种量化在温带耕作系统中采用病虫害综合治理方法的方法。

作者在Creissen等人的文章中发现了一些错误。1发生这些是由于分析所基于的数据集中的一个小错误。这些错误不会影响所报告的总体结果或结论。

作者对发表的文章进行了以下更正:

  1. 摘要中,样本中农民的IPM得分范围应为:(最低32.6分,平均得分67.1)。
  2. 在摘要中,得分超过100(可能为100)的农民人数应为:225位农民中的15位(6.7%)。
  3. 在第3.3节中,范围内农民IPM得分应为:32.6–91.3,平均值为67.1,标准差为13.1(变异系数为19.6%)。
  4. 如上文(1)所述,在第3.3节中,在IPM可能为100的情况下,225名农民中只有15名(6.7%)得分超过85。
  5. 图2已稍作修改,但与原始发布的版本非常相似。此处显示了更正的版本。
  6. 附录S5已稍作修改,但与原始发布的版本非常相似。此处显示了更正的版本。
  7. 修改后的表6如下所示。先前表达的关于单个措施与IPM构造的一致性的结论没有改变。
  8. 在第4节中,样本中农民的IPM最低分数应大于30。

图片
图2
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通过IPM分数分配样本。
图片
附录S5
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数据的正态概率概率图
表6.组件问题与整体IPM分数和Cronbach's alpha检验的相关性
调查中的特定问题 与总数的相关性(标准化分数) 阿尔法a一个 特定问题高alpha分数( > 0.7)表示该问题与总分数的高度相关性。
Q3。您的农场中有多少土地用于谷物的连续生产? 0.291407 0.711150
Q5。为什么通常使用耕种轮换方式? 0.445569 0.679078
Q7。是什么影响您选择的农作物品种? 0.328368 0.703651
Q8a。哪些预防措施用于控制杂草 0.485073 0.670518
Q8b。哪些预防措施用于控制疾病 0.568066 0.652071
Q8c。哪些预防措施用于控制昆虫 0.395714 0.689679
Q9。在决定有害生物管理计划时,您会考虑哪些因素? 0.467030 0.674445
Q14。农学/作物讨论小组的成员? 0.280090 0.713423
  • 一个 特定问题高alpha分数( > 0.7)表示该问题与总分数的高度相关性。
更新日期:2020-07-09
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