PSY330 CARE #1

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Across
  1. 3. Data that is collected and recorded over a sequence of time intervals or points. Examples include stock prices, temperature measurements over time, or daily sales data.
  2. 4. The examination and interpretation of data collected during the experiment to determine patterns, relationships, and statistical significance.
  3. 7. A research question that seeks to understand the relationships between variables and establish causal explanations.
  4. 9. Data collected by sensors or devices that measure physical or environmental variables. Examples include data from temperature sensors, accelerometers, heart rate monitors, or GPS devices.
  5. 13. The evaluation of scientific work by experts in the field to ensure rigor, validity, and quality before publication or dissemination.
  6. 15. Data that consists of unstructured text, such as written documents, articles, social media posts, or customer reviews.
  7. 19. A research question that aims to investigate new or under explored areas to generate insights and hypotheses for further study.
  8. 21. A group in an experiment that does not receive the experimental treatment and serves as a baseline for comparison with the experimental group.
  9. 25. The philosophical approach that places emphasis on reason, logic, and critical thinking as the basis for knowledge and understanding.
  10. 26. A multidisciplinary field that combines scientific methods, algorithms, and systems to extract insights and knowledge from data.
  11. 28. The understanding of scientific concepts, principles, and processes that enables individuals to engage with and evaluate scientific information critically.
  12. 32. Data that is associated with specific geographical locations or coordinates. Examples include latitude and longitude coordinates, addresses, or zip codes. Analyzing geographic data often involves techniques like geospatial analysis and mapping.
  13. 35. Categorical data that has a natural order or ranking associated with it. Examples include educational attainment levels (e.g., high school, college, graduate) or ratings (e.g., likert scale ratings).
  14. 36. The ability to analyze, evaluate, and interpret information objectively, considering evidence, logic, and reasoning.
  15. 37. The formulation of a clear and specific query about a phenomenon or topic of interest that guides the investigation.
  16. 40. Accepting knowledge or information as valid based on the credibility and expertise of a trusted source or authority figure.
  17. 41. A systematic and logical approach used in scientific inquiry to formulate hypotheses, conduct experiments, collect data, analyze results, and draw conclusions.
  18. 42. The philosophical approach that emphasizes knowledge gained through observation, experience, and evidence from the senses.
Down
  1. 1. Numerical data that can take on any value within a range. Examples include measurements like height, weight, temperature, and time.
  2. 2. The process of repeating an experiment or study to determine if the same results can be obtained, thus increasing the reliability and validity of the findings.
  3. 5. The systematic design and execution of controlled experiments to test hypotheses and collect data.
  4. 6. The tendency to favor or seek information that confirms pre-existing beliefs or hypotheses, potentially hindering objective evaluation and critical thinking.
  5. 8. The act of gathering information about the world through our senses or by accessing existing data.
  6. 10. A research question that focuses on making predictions or forecasts based on existing data and patterns.
  7. 11. The attitude of questioning and doubting claims until sufficient evidence is provided, promoting a scientific approach to understanding the world.
  8. 12. A research question that seeks to describe or characterize a particular phenomenon or population.
  9. 14. Claims, beliefs, or practices that are presented as scientific but lack scientific evidence, rigorous testing, or adherence to the scientific method.
  10. 16. Extremely large and complex datasets that require specialized tools and techniques for processing, analyzing, and extracting value.
  11. 17. A testable explanation or prediction based on observations and prior knowledge that serves as a starting point for scientific investigation.
  12. 18. A testable explanation or prediction based on existing knowledge and observations.
  13. 20. The process of discovering patterns, relationships, and useful information from large datasets, often using automated methods and statistical techniques.
  14. 22. A systematic approach used in scientific inquiry to investigate phenomena, involving a series of steps: observation, question, hypothesis, experimentation, analysis, and conclusion.
  15. 23. This research focuses on enhancing theoretical understanding, uncovering underlying principles, and exploring fundamental mechanisms of natural phenomena.
  16. 24. Numerical data that can only take specific values and cannot be further divided. Examples include counts of items, number of people, or number of occurrences.
  17. 27. Research involves the direct application of scientific knowledge and findings to solve real-world problems and generate practical outcomes.
  18. 29. Everyday knowledge and reasoning based on personal experiences and observations that may not always align with scientific evidence.
  19. 30. The process of repeating an experiment or study to determine if the same results can be obtained, thus increasing the reliability and validity of the findings.
  20. 31. Data or observations that are collected through direct experience or experimentation and serve as the foundation for scientific knowledge.
  21. 33. The ability to understand or know something instinctively, without the need for conscious reasoning or evidence.
  22. 34. Categorical data that represents qualities or characteristics without any inherent order or ranking. Examples include gender, eye color, or type of car.
  23. 36. The summary of findings based on the analysis, indicating whether the results support or refute the hypothesis.
  24. 38. A controlled procedure designed to test a hypothesis by manipulating independent variables and observing the effects on dependent variables.
  25. 39. Data that can take on one of two values, typically represented as 0 or 1. Examples include yes/no responses, true/false answers, or presence/absence indicators.