Secondary data IA's

Secondary data IA's

In ESS you don't have to collect primary data from a lab or fieldwork for your IA. You may collect data from a reliable and reputable website instead. This is known as secondary data generation. I only add reputable ones to this site so use these

Context Section (6 marks)

Some people think (I mean ESS teachers) that it is hard to score well using secondary data. This doesn't have to be true as long as you don't fall in to some of the common traps other students do. The most important thing to establish is a relevant, coherent and focused research question. You can't just start finding data on the websites below without a good understanding of what you want to achieve. In order to do this you must have a face to face session with me so you can be confident in your IA choice. Here is Malik's IA which score 22/30. You can have a read through this to see what a good (but not perfect) IA looks like

Throughout your IA you should use your checklist wisely to make sure you have all the elements needed for a good IA score





Student ESS IA Checklist
IB Internal assessment: Is there a correlation between the GDP per capita and SDW

Global Data banks

Here are all the great data websites - they should provide you will all the information you need to complete your IA

Gapminder is a great source of demographic data like income levels, child morality rates, birth rates and death rates

Search on this database for data on global issues and banking. The World Bank Data is an open data initiative of World Bank group that collects statistical data that are essential to help alleviate poverty. Bulk of the data comes from the member countries of the World Bank.

Worldometer shows estimated current numbers based on statistics and projections from the most reputable official organisations such as United Nations Population Division, World Health Organisation (WHO), Food and Agriculture Organisation (FAO), International Monetary Fund (IMF), and World Bank.

Search on this database for global issues data such as poverty, disease, hunger, climate change, war, existential risks, and inequality. Our World in data is an online scientific publication that works on making progress against the world’s largest problems by providing research and data about it. The publication is a collaborative efforts between researchers of University of Oxford and non-profit organization Global Change Data Lab.

Information on food and agriculture/fisheries (topic 4/5)

Agriculture Market Database

search world and country specific supply and demand data of commodities -- maize, wheat, rice, and soy bean.

FAOSTAT

agriculture production, emission, economy, land use, and forestry.

Food and Agriculture Infographics

information about various topics in agriculture such as forest, agriculture child labor, land and indigenous people, biodiversity, food, livestock, etc.

Global Food and Agriculture Data

statistics of water resources and management, fishery and aquaculture, food consumption behaviour, domestic animals, and genetic modified plants

World Rice Statistics

rice related data.

The State of World Fisheries and Aquaculture 2018

extensive data related to world fisheries and aquaculture such as fish capature, global fishing trend, aquaculture production, fising employment, etc.

Energy and Climate Change (topic 7)

IRENA Statistics

the latest statistics on renewable energy.

International Energy Agency Data and Statistics

data related to energy such as supply and consumption, import/export, waste, and carbon emission. Data avaialbe can be filtered by energy type i.e. natural gas, coal, etc.

OPEC

data about petroleum.

WTO Data

WTO Data portal contains statistical data related to WTO issues. (WTO is an intergovernmental organization that is concerned with the regulation of international trade between nations.)

BP Statistical Review of World Energy 2019

exhaustive statistics on world energy from the one of the world's seven oil and gas "supermajor companies", BP.

Biodiversity and general data sources

Facts and Figures on Forests

descriptive statistic on the current state of the forests in the world.

World Tropical Forest Loss

summarised statistics of global forest lost.

Interactive Data Map

raw data on forest change, land cover, land use, climate, and biodiversity of a specific country.


IUCN Red List Summary Statistics

Click here to read the summart statistics of threatened species.

Facts and Figures on Biodiversity

Click here to read a descriptive statistics on current world biodiversity.

Global Footprint Network Open Data

Click here to search data related to ecological footprint.

Plastic Statistics

plastic pollution and use around the world.


Air Pollution (topic 6)


State of the Global Air Data

explore raw data and other resources on air pollution and health data.


Methodology

The method section is a set of instructions that can be followed by someone else so they can repeat what you have done to get the same or similar data. For secondary data collection it should look something like this

  1. To collect data for (x) go to the following website www.______.com

  2. countries will be selected after being ranked from lowest to highest GDP per capita, then every 10th country will be selected for sampling

  3. collect data on gdp per capita for the countries selected through the systematic sampling method detailed above

  4. repeat this data collection for two additional websites (list them) and record in the table 1

  5. If there is no data available for a selected country the country below this will be selected

  6. to collect data for (y) go to the following website

  7. record the data in table 1

  8. repeat for the following websites

  9. once data collection has been finalised average, standard deviation, anomalies and further r squared correlation coefficients will be calculated.

The highlighted sections below give a model for a highly scoring secondary data IA


Justification of methodology

Ethical and risk assessment


Use three reliable websites to collect your data if possible - this will decrease the risk of unreliable data.

Safety: Screen time - not spending too much time at the computer - take regular breaks and stand up stretch - wear a visor to reduce glare and headaches.

Results, analysis and conclusion section (6 marks)

Make sure you have a clear section named results, analysis and conclusion and see the checklist to see what you have to include

normally you will calculate average, standard deviation and a r squared correlation coefficient if you are looking at correlation

like this:

Phrases to Use

This study found that...

The results should be interpreted with caution...

Findings from this study should be considered in light of several limitations.

Many/several variables that could contribute to this research were not accounted for as...

The data supports / does not support the hypothesis because...

Although the data shows a correlation / indicates support for...

There is strong / weak support for the conclusion as...

The data supports a conclusion that

More data is needed to provide support for this initial conclusion.

The reliability of the data is high / low due as shown by the low / high standard deviation of each mean.

Supporting Conclusions with Statistics

The standard deviation bars overlap and therefore there is too much variation in the data to draw a strong conclusion.

The standard deviation bars do not overlap suggesting confidence in the reliability of the data.

The correlation between the two variables is strong with an R2 value approaching 1.

The correlation between the two variables is weak / does not exist as the R2 value is low, approaching 0.

The t-test at 95% confidence supports the hypothesis that there is a significant difference between the two [locations].

There is a negative / positive correlation between x and y. As the x becomes [warmer] the y decreases. This is supported by a Pearson coefficient R2 value of 0.3 which indicates a weak correlation, however with further statistical analysis, using the Spearman Rank coefficie


Discussion and Evaluation

You should use the following 4 subheadings for this section.

  1. Evaluation of conclusion

    • start with the research question and answer it clearly - "the evidence presented in this investigation support/do not support the hypothesis. There is evidence to suggest a there is a correlation between x and y. AND - how does is it link to the environmental issue - what light does it throw onto the subject

  2. Evaluation of method; You must mention strengths and weaknesses of method and limitations

  3. Modifications to method; show how you could address each weakness with an improvement to the method

  4. Further research: Explain what else could be studied and what research should be done to improve the understanding of the EI more

There are 3 aspects in this section

  1. evaluates the conclusion in the context of the environmental issue

  2. discusses strengths, weaknesses and limitations within the method used

  3. suggests modifications addressing one or more significant weaknesses with large effect and further areas of research.


  1. What is the examiner looking for in the evaluation?

  • evaluation of the conclusion with respect to the RQ and EI

  • Discussion: strengths, weaknesses and limitations of the method

  • Evaluation of the investigation

  • proposed modifications

You have to discuss and evaluate the conclusion separately from stating them in the RAC. You must start with the original RQ then see if secondary data/research to support/refutes the conclusion. Is there evidence to suggest the conclusion is in agreement with what else you have read. Is the conclusion surprising? Are there reasons why?

2. Strengths and weaknesses and limitations

What is the examiner looking for in the evaluation?

  • a discussion of strengths - this might be general or refer to specific parts that worked well.

  • discussion of the reliability of the data

  • identification of weaknesses in the method

  • the evaluation of the relative impact of a weakness in the investigation

If you only address practical issues by saying just carrying out the procedure better, then you can only get a maximum 4. If you only give one element of strengths, weaknesses and limitations is completely missed out then the maximum is a 4 in this aspect. So give strengths, weaknesses and limitations.

3. Modifications and further research

What is the examiner looking for in the modifications and further research section?

  • suggestions of modifications

  • Focus on one or two significant issues

  • Further areas of research

Suggestions modifications/further research should be precise, focused and relevant to the investigation. You must discuss how the modifications you suggest might bring the experimental results closer to what is expected.

so;

  1. suggest a modification that is related to one of the weaknesses you have identified

  2. then say how this modification will contribute to the reliability, precision and accuracy of the results

  3. do this for two modifications

The further research suggested should follow on from the research in a meaningful way and go beyond the original method of investigation to show how it will enhance understanding of the EI or RQ

Here is what the examiner said about the Malaysian stream investigation; this only scored a 3 so the weakest part of the investigation.

" Discussion is more a link to, a continuation or repetition of the CXT. Very little connection between the conclusion and the EI. No strengths, weaknesses/limitations described. Suggests modifications and further areas of research. No strengths so max 4 in that band; in 1-2 for modifications, and further research is weak. Overall a 3"


Application