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Questions and Answers
Which of the following best describes secondary data?
Which of the following best describes secondary data?
What is the primary purpose of qualitative data?
What is the primary purpose of qualitative data?
Which of the following is NOT a typical application of quantitative data?
Which of the following is NOT a typical application of quantitative data?
What would be an example of qualitative data generated by AI systems?
What would be an example of qualitative data generated by AI systems?
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Which of the following pieces of information should be recorded when referencing a primary source observation?
Which of the following pieces of information should be recorded when referencing a primary source observation?
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What is the key difference between structured and unstructured interviews?
What is the key difference between structured and unstructured interviews?
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What is the key benefit of using both quantitative and qualitative data in a research project?
What is the key benefit of using both quantitative and qualitative data in a research project?
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What is the primary purpose of the census data collected by the Australian Bureau of Statistics (ABS)?
What is the primary purpose of the census data collected by the Australian Bureau of Statistics (ABS)?
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Which of the following are considered ethical principles that should be considered when interpreting information?
Which of the following are considered ethical principles that should be considered when interpreting information?
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What is the primary purpose of data verification?
What is the primary purpose of data verification?
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Which of the following is an example of bias through timing?
Which of the following is an example of bias through timing?
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Which of the following best describes data integrity?
Which of the following best describes data integrity?
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Why is relevant data important for decision making?
Why is relevant data important for decision making?
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Which factor does not affect data accessibility?
Which factor does not affect data accessibility?
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What role does context play in the interpretation of data?
What role does context play in the interpretation of data?
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Which of the following best defines 'clear data'?
Which of the following best defines 'clear data'?
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What type of data representation will Milorad use to present the internet usage statistics to the local council?
What type of data representation will Milorad use to present the internet usage statistics to the local council?
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What does the term 'data integrity' refer to?
What does the term 'data integrity' refer to?
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Which of the following best describes a 'closed-ended question'?
Which of the following best describes a 'closed-ended question'?
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What is a differential backup?
What is a differential backup?
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What is the main concern regarding the use of inaccurate or incomplete data?
What is the main concern regarding the use of inaccurate or incomplete data?
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What role does transparency play in ethical data management?
What role does transparency play in ethical data management?
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Which data type can hold one of only two possible values, usually true or false?
Which data type can hold one of only two possible values, usually true or false?
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Which of the following is NOT a component of informed consent?
Which of the following is NOT a component of informed consent?
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Why might Milorad need permission to conduct his research?
Why might Milorad need permission to conduct his research?
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What does the term 'bias' refer to in data analysis?
What does the term 'bias' refer to in data analysis?
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Which ethical issue arises from the misuse of personal data and information?
Which ethical issue arises from the misuse of personal data and information?
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What is a potential effect of failing to provide clear information to users about data use?
What is a potential effect of failing to provide clear information to users about data use?
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How should Milorad interpret the results regarding internet usage?
How should Milorad interpret the results regarding internet usage?
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What ethical responsibility do organizations have regarding the data they manage?
What ethical responsibility do organizations have regarding the data they manage?
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What should data subjects be explicitly informed about regarding their data?
What should data subjects be explicitly informed about regarding their data?
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What issue arises when artificial intelligence systems repurpose and share data without consent?
What issue arises when artificial intelligence systems repurpose and share data without consent?
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What is the primary focus of privacy laws in research?
What is the primary focus of privacy laws in research?
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How should researchers store data collected during their research?
How should researchers store data collected during their research?
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Which entity replaced the National Privacy Principles in Australia?
Which entity replaced the National Privacy Principles in Australia?
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What does APP 2 allow individuals to do?
What does APP 2 allow individuals to do?
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What is required to verify users' rights to access a network?
What is required to verify users' rights to access a network?
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What does APP 11 require organizations to do regarding personal information?
What does APP 11 require organizations to do regarding personal information?
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What characteristic of cloud-computing companies makes them different from traditional storage methods?
What characteristic of cloud-computing companies makes them different from traditional storage methods?
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Under APP 6, when can personal information be used for a secondary purpose?
Under APP 6, when can personal information be used for a secondary purpose?
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What is a key aspect of a generative pre-trained transformer (GPT)?
What is a key aspect of a generative pre-trained transformer (GPT)?
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What can cause transcription errors when entering data into a computer?
What can cause transcription errors when entering data into a computer?
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Why is sample size important in data collection?
Why is sample size important in data collection?
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What is a potential consequence of having a respondent with a vested interest in a survey?
What is a potential consequence of having a respondent with a vested interest in a survey?
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How does timing affect data collection?
How does timing affect data collection?
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What is a primary benefit of conducting interviews compared to surveys?
What is a primary benefit of conducting interviews compared to surveys?
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Which statement best describes the nature of data on the internet?
Which statement best describes the nature of data on the internet?
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What does the American Psychological Association (APA) primarily assist with?
What does the American Psychological Association (APA) primarily assist with?
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Study Notes
Unit 1 Introduction
- VCE Applied Computing Unit 1 examines how software tools (like databases and spreadsheets) create data visualizations.
- Programming languages are also studied.
- The problem-solving methodology, analyzing data, and creating data visualizations are applied.
- Different data types are acquired and manipulated in software tools.
- Two outcomes are required.
Area of Study 1: Data Analysis
- Outcome 1: Students will gather and organize data, analyze it, and present the findings as visualizations.
- Data validation and appropriate formats and conventions must be applied to data visualizations.
- Solution requirements and designs will be provided by the teacher.
Area of Study 2: Programming
- Outcome 2: Students will design and develop software solutions using provided program requirements.
- Validation, debugging, and testing are essential parts of development.
- Programming languages will be used.
Chapter 1: Data Analysis
- Key knowledge on qualitative and quantitative data types, relevant software tools, quality, and characteristics of data.
- Australian Privacy Principles (APPs) for data management/communication, referencing primary and secondary data.
- Students will respond to a teacher-provided analysis of requirements to identify, collect, analyze data, and present visualizations.
- Chapters 1 and 2 cover the key knowledge to complete Unit 1, Outcome 1.
- Interpret teacher-provided solution requirements; collect and manipulate data; analyze patterns and relationships; and develop visualizations to present findings.
Understanding Research
- Theories are used to describe, explain, and predict events.
- Research questions help narrow the focus of investigations.
- Hypotheses are based on probabilities, tested by data collection tools (like surveys, interviews).
- There are qualitative and quantitative research methods.
- Quantitative data (numerical) is easier to graph, while qualitative data provides detailed insights.
Applied Computing VCE Units 1&2
- SPSS and Minitab are statistical software used to analyze quantitative data from surveys or other methods.
- NVivo is a software package for analyzing qualitative data (non-numerical).
- Quantitative studies use surveys for large samples that provide statistical validity.
- Qualitative studies provide richer, in-depth data but may not generalize to a wider population.
Data and Information
- Data: Raw, unorganized facts, figures, and symbols.
- Information: Data in a meaningful and useful form.
- Primary data: First-hand accounts, such as interviews/questionnaires.
- Secondary data: Processed or interpreted data (textbooks, websites, etc.).
Sources
- Primary sources: First-hand accounts of a person, object, event (e.g., interviews, observations).
- Secondary sources: Summarized or interpreted information from other sources (e.g., books, articles).
Techniques
- Surveys contain questions directly related to the research questions, using scales/alternatives.
- Interviews are used for in-depth, further questions (often conducted face-to-face).
Surveys
- Common method for collecting data, gather information on attitudes, beliefs, or preferences.
- Carefully designed to avoid misinterpretation or useless data.
Interviews
- Used to collect data about opinions and beliefs in a relaxed atmosphere.
- Can be structured, semi-structured, or unstructured.
Data Collection Methods
- Sensor data: Physical measurements (e.g., heart rate).
- Surveys/Interveiws/Observation: Collecting data from people.
Quantitative/Qualitative Data
- Quantitative Data: Data that is measurable or countable, used for numerical analysis, charts, and graphs.
- Qualitative Data: Data about qualities or attributes, used for detailed descriptions of experiences or observations.
Data Types
- Text: Character strings (e.g., names, addresses).
- Numeric: Numbers (e.g., quantities, prices).
- Boolean: Two possible values (e.g., true/false, yes/no).
Chapter 1 Data Analysis
- Data integrity: The quality of data (crucial aspect), used to transform data into useful info (correct info = reliable information).
- Data relevance: Data must be relevant to the question.
- Data clarity: Data is clear and understandable, and free of ambiguity and bias, easy to use and analyze.
- Data accuracy: Important to avoid issues of integrity, ensure accurate measurement, and maintain consistency.
- Accessibility: Data must be accessible to the relevant people and in a usable format.
Context
- Context is background information and circumstances (e.g., seasonality, recent events impacting data collection).
- Context helps in understanding and interpreting data.
- Important to avoid misunderstandings or misinterpretations.
Privacy
- Privacy is upholding the privacy of research participants.
- Preventing data misuse by people with access.
- Personal identifiers (names, dates) that are associated with individuals should be removed.
- De-identification must be comprehensive to protect individual identities.
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Description
Test your knowledge on research methods, focusing on the differences between qualitative and quantitative data, ethical principles, and data integrity. This quiz explores key concepts that are vital for conducting effective research. Perfect for students studying research methodologies.