Understand and Analyze

To present new findings that are unrelated to past research.

To list sources without summarizing their content.

To understand the current state of knowledge on a topic.

To prove that no previous work has been done on the topic.

After publishing study results

While conducting the literature review

At the conclusion of the study

Before starting the study

Utilize open-ended questions exclusively to capture detailed personal experiences.

Collect data at various times of day to ensure different demographics are included.

Randomly select participants from the population rather than allowing volunteers only.

Increase the length of surveys to gather more comprehensive data per respondent.

Personal opinion will always align with available data.

Data from one source is usually sufficient for valid results.

More sources can confuse readers about what to believe.

To ensure comprehensive understanding & avoid bias.

Ensuring informed consent and confidentiality.

Selecting only those participants who support the researcher's hypothesis.

Choosing participants based solely on their availability and ease of access.

Focusing on recruiting the maximum number of participants regardless of demographic diversity.

To ensure relevance and accuracy in light of recent developments.

Because all high-quality research must cite only contemporary works.

To guarantee there are enough references older than ten years.

Solely to meet word count requirements through numerous citations.

Implementing various methods to ensure data collection remains relevant and accurate over time.

Maintaining engagement levels and interest from participants over the extended timeline of the study.

Balancing the need for comprehensive data collection with the potential impact on participants' wellbeing.

Verifying that adolescents have understood and agreed to participate independently from parental influence.

Ignoring variations in gender expression throughout different literary periods.

Emphasizing biological differences as primary determinants of gender roles.

Focusing solely on historical context without considering gender implications.

Highlighting power dynamics and inequalities present in character relationships and themes.

The sample may not be representative of the entire population.

Participants are unlikely to provide truthful responses.

Data becomes too complex to analyze statistically.

The approach is less cost-effective than random sampling.

What are common themes found within climate change narratives across various cultures?

How do differing climate change narratives presented at United Nations conferences shape subsequent national policy reforms related to carbon emissions reduction commitments?

How often do policymakers refer to scientific data when discussing climate change narratives?

Do climate change narratives have any impact on public awareness about global warming issues?