Genetic Modification in Agriculture

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37 Questions

How was the questionnaire implemented?

Online survey

What scale was used to evaluate health risk-taking behavior?

Five-point likelihood scale

The sample size for the survey was less than 3000 participants.

False

What was the main outcome of the study related to genetically modified food?

personal acceptance of GM-food

What is the mean score for personal acceptance of GM-food for females?

3.89

Investment in science is negatively correlated with personal acceptance of GM-food.

True

Which age range has the highest mean score for personal acceptance of GM-food?

18–24

What is the mean score for personal acceptance of GM-food for individuals with a Household Income of over £65,000?

4.33

What did regression models show as the primary negative determinants of public acceptance of GM-food?

Metaphysical beliefs about the sanctity of food and an emotional dislike of GM-food

What was a secondary positive determinant of public acceptance of GM-food according to the study?

Belief in the value of science

True or False: Rational argument alone about the risks and benefits of GM-food can change public perceptions of GM-technology.

False

What version of SPSS was used for the analysis?

2.15

How was the data segmented in the final part of the analysis?

K-means cluster analysis

Household income was found to be positively associated with GM-food acceptance.

False

What was the average knowledge score of the GM-debate measure?

8.8

What socio-cultural factor measure had the strongest impact on acceptance of GM-food?

Belief in the sanctity of food

Emotional dislike of GM-food was positively related to acceptance of GM-food.

False

What type of belief had a direct influence on acceptance of GM-food?

belief in the sanctity of food

Which emotional response was dominant in predicting acceptance of GM-food?

emotional dislike of GM-food

Match the following factor measures with their impact on acceptance of GM-food:

Benefits-to-risks rating = Positive impact on acceptance Trust in government and MNCs regarding GM = Minor impact on acceptance GM agri-food eco-friendliness = Positive impact on acceptance Perception of naturalness in food = Descriptive association but not multivariate impact

What model posits that rational and affective thought work together to influence decision-making?

dual process

Which survey mentioned in the text reported that concern about food integrity strongly predicted negativity towards GM-content?

Mohr and Golley 2016

Science-philes cluster showed a negative attitude towards GM-food.

False

The Science-philes cluster had a high benefits-to-risks rating for GM-food, suggesting their positive ____________ attitude.

attitude

Clusters Affective and rational thought about food, science, and the environment and the benefits and risks were weighted towards ______ and non-vegetarian men and older vegetarian women, respectively.

white

What sociocultural underpinnings influence how genetically modified food is perceived?

Cultural beliefs

Rational argument alone can effectively address public rejection of genetically modified food.

False

Who is described as having little impact on people's fear of agri-food technology?

Rational argument

What percentage of people identified as Vegetarian in the 'Further Education' category?

12.2%

Are Non-vegetarians more common than Vegetarians in the 'Postgraduate degree' category?

True

What is the cluster that scored the highest on emotional dislike of GM-food?

Neophobes

The highest proportion of black and ethnic minority respondents was in the __________ cluster.

Cautious Greens

Match the following socio-cultural measures with their respective groups:

Investment in science is important for the future = Science-philes Belief in the sanctity of food = Cautious Greens Trust in the integrity of government and MNCs regarding GM = Unconcerned Emotional dislike of GM-food = Disaffected Benefits-to-risks rating = Risk-takers

What did the individual study to in her MSc?

Biometry

After finding few jobs in ecological statistics, what did she join as?

Medical statistician

Apart from the molecular perception of chemicals, the laboratory also studies the functional relationships between root exudation chemistry and root-associated ________ communities.

microbial

In addition to her laboratory's research, what other position does she hold at UoS?

Co-director of the P3 Institute

Study Notes

Food Security and Genetic Modification

  • Genetic modification (GM) of crops is essential for delivering global food security, but public opposition to GM-food is significant.
  • A study was conducted to understand why rational argument fails to shift public perception of GM-food, focusing on social, cultural, and affective contexts.

The Debate Surrounding GM-Food

  • The debate on GM-food involves risk communication, but public acceptance is influenced by metaphysical beliefs about the sanctity of food and emotional dislike of GM-food.
  • Belief in the value of science and favorable evaluation of benefits-to-risks are secondary positive determinants of GM-food acceptance.

Factors Influencing GM-Food Acceptance

  • Socio-economic and demographic antecedents of opinion have been less studied, despite descriptive data being available.
  • Emotion (affect) plays a significant role in shaping public perception of GM-food, going beyond reason-based decision-making.

Methodology of the Study

  • A nationally representative sample of 3340 adults in the UK was surveyed online, with 3116 qualifying responses collected.
  • The questionnaire explored interrelationships among acceptance of GM-food, attitudes to GM-food, and theoretical antecedents.

Key Findings

  • Principal component analysis (PCA) was used to identify factors influencing GM-food acceptance.
  • Eight factors from socio-cultural attitudinal questions and eight factors from GM-attitudinal questions were identified.
  • Regression analysis was used to identify measures with the most effect on personal acceptance of GM-food.

Understanding the Results

  • Personal acceptance of GM-food is influenced by broader socio-cultural attitudes to food processing and worldviews, such as environmentalism and universalism.
  • The study highlights the complex and nuanced nature of public perception of GM-food, going beyond reason-based decision-making.### Study of Genetically Modified Food Acceptance

Demographic Characteristics of the Sample

  • 3116 participants, 48.5% male, 51.5% female
  • Age range: 18-65 years, average age 41.5 years
  • Household size: 2.9, standard deviation 1.5
  • Household income: £35,400, standard deviation £23,300
  • Educational attainment: 24.8% G.C.S.E., 23.2% AS/A Level, 14.7% further education, 26% degree, 11.3% postgraduate
  • Urban or rural: 78.9% urban, 21.1% rural
  • Regional distribution: England (84.8%), Scotland (8.1%), Wales (4.8%), Northern Ireland (2.4%)
  • Dietary identity: 1.7% vegan, 4.1% lacto-vegetarian, 5.1% semi-vegetarian, 3.0% flexitarian, 86.1% non-vegetarian

Acceptance of Genetically Modified Food

  • Personal acceptance score: 4.2 out of 7, standard deviation 1.4
  • Factors influencing acceptance:
    • Gender: males more accepting than females (mean score 4.43 vs 3.89)
    • Age: younger adults (18-24 years) more accepting than older adults
    • Household size: no significant difference
    • Household income: higher income associated with greater acceptance (p = 0.019)
    • Educational attainment: science-based education associated with greater acceptance (p < 0.001)
    • Dietary identity: non-vegetarians more accepting than vegetarians and vegans

Attitudinal Measures

  • Eight socio-cultural attitudinal measures, eight GM-attitudinal measures, and one knowledge of the GM-debate measure
  • Cronbach's alpha coefficient ranged between 0.71 and 0.96 for the measures
  • Mediation analysis used to explore influences on acceptance of GM food### Demographic and Socio-Cultural Factors Influencing GM-Food Acceptance
  • A study analyzed the influences of demographic and socio-cultural measures on personal acceptance of genetically modified (GM) food.
  • The study found that:
    • Education level has a significant impact on GM-food acceptance, with those holding a postgraduate degree being more accepting.
    • Science-based education and belief in the sanctity of food are strong predictors of GM-food acceptance.
    • Urban dwellers are more accepting of GM-food compared to those living in rural areas.
    • Regionally, there are differences in GM-food acceptance, with the North East and West Midlands being more accepting.
    • Dietary identity affects GM-food acceptance, with vegans being less accepting.

Attitudinal Measures Influencing GM-Food Acceptance

  • The study identified four dominant GM-attitudinal measures that influence personal acceptance of GM-food:
    • Emotional dislike of GM-food: a strong predictor of non-acceptance.
    • Benefits-to-risks rating: a positive rating increases acceptance.
    • Trust in government and multinational corporations (MNCs) regarding GM-food: increased trust increases acceptance.
    • GM-agri-food being eco-friendly: belief in eco-friendliness increases acceptance.

Interplay Between Socio-Cultural and GM-Attitudinal Measures

  • The study explored the interplay between socio-cultural factors and GM-attitudinal measures influencing GM-food acceptance.
  • Belief in the sanctity of food and emotional dislike of GM-food are strong predictors of non-acceptance.
  • Benefits-to-risks rating and trust in government and MNCs regarding GM-food have a positive influence on acceptance.
  • Investment in science and science having benefited the world positively influence acceptance.

Mediation Analysis

  • Mediation analysis revealed that:
    • Belief in the sanctity of food influences acceptance through emotional dislike of GM-food and benefits-to-risks rating.
    • Investment in science and science having benefited the world influence acceptance through benefits-to-risks rating.

Key Findings

  • Socio-cultural factors, such as education level and dietary identity, influence GM-food acceptance.
  • GM-attitudinal measures, including emotional dislike of GM-food and benefits-to-risks rating, are strong predictors of acceptance.
  • Interplay between socio-cultural and GM-attitudinal measures influences GM-food acceptance.
  • Belief in the sanctity of food and emotional dislike of GM-food are strong predictors of non-acceptance.
  • Investment in science and benefits-to-risks rating positively influence acceptance.

This quiz explores the role of genetic modification in agriculture, including its potential benefits and the challenges of rational argument in the debate.

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