Learn Before
Checking Raw Data
Once data is secured, researchers should review the raw data for completeness and accuracy. This involves looking for illegible or missing responses, as well as obvious misunderstandings or suspicious entries (e.g., a response of on a -to- rating scale). Identifying these issues early is crucial for determining if a participant's data is usable for statistical analysis.
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Research Methods in Psychology - 4th American Edition @ KPU
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Data Preparation Process
Securing Raw Data
Checking Raw Data
Data File
What does the term 'raw data' refer to in the context of psychological research?
After a researcher has collected written observational notes and transcribed them into an organized, coded digital file, that newly coded file is still considered the study's raw data.
In psychological research, raw data takes various forms depending on the study's design. Match each research method with the specific item that serves as its raw data before any organization or analysis occurs.
A researcher is conducting an observational study on social interaction in a classroom. Arrange the following items in order, starting with the form that represents the most raw data and ending with the most processed form of information.
Which of the following is an example of 'raw data' in a psychological research study?
A researcher has just finished recording 20 hours of clinical interviews on digital video files. At this point, before any transcripts are made or specific behaviors are categorized, how should this information be classified?
In a formal critique of a psychology study's transparency, a reviewer discovers that the researcher only kept spreadsheets of organized scores and deleted the initial, uncleaned participant responses. The reviewer concludes that the researcher failed to preserve the _____ data, making it impossible to verify the accuracy of the coding and cleaning process.
In a study on cognitive aging, a computer program outputs a text file containing the exact millisecond timestamps of every keypress. If the researcher uses a script to remove outlier trials where participants took longer than 10 seconds, this filtered dataset is still considered the study's raw data.
Analyze the following research scenarios and match the state of the data with the description that represents its current form in the research workflow.
A researcher claims their study's data file is 'raw' because no inferential statistics have been run on it, even though they have already removed outliers and imputed missing values. When evaluating this claim, a methodologist would correct the researcher, pointing out that because cleaning has occurred, the dataset is no longer _____ data.
Learn After
Excluding Participant Data
A researcher has just finished collecting survey data from 200 participants who rated their stress levels on a 1-to-10 scale. Before running any statistical analyses, the researcher reviews the raw dataset and notices that one participant recorded a value of 15. What does this example best illustrate?
A researcher is reviewing the raw data from a survey on academic stress. Match each specific issue found in the dataset with the correct category of raw data error.
A researcher asks participants to rate their anxiety before an exam on a scale from 1 to 7. While reviewing the completed surveys, she notices that one participant circled '0' and another left their rating completely blank. She decides to include both responses in her dataset and proceeds directly to statistical analysis. This is an appropriate way to handle the raw data review stage.
A psychology researcher has just exported their survey results and is reviewing the records for integrity. Arrange the following steps in the logical order necessary to analyze the usability of the dataset.
While reviewing a raw dataset, a researcher finds a response of '12' on a stress scale that only ranges from 1 to 10. By choosing to exclude this participant's data rather than guessing their intended response, the researcher is making a methodological judgment to prioritize the ______ of the study's conclusions over the total number of participants.
You are designing a 'Data Quality Protocol' for a laboratory conducting psychology surveys that use a -to- rating scale. Which of the following sets of instructions would you construct to most effectively guide research assistants through the process of checking raw data before it is used for statistical analysis?
Once data is secured, researchers should review the ______ data for completeness and accuracy to determine if it is usable for statistical analysis.
True or False: Once data is secured, a researcher can bypass checking the raw data and immediately proceed to statistical analysis, as modern statistical software is designed to automatically detect and correct participant misunderstandings or missing responses.
A researcher is auditing completed surveys from a psychology study that used a 1-to-10 stress rating scale. For each data anomaly discovered in the dataset, match it to the specific analytical consequence that makes the entry problematic for statistical analysis.
A researcher has exported survey data and notices that one participant's record contains a mix of missing items, an out-of-range value, and a smudged illegible response. Order the following steps from first (1) to last (5) to best evaluate whether this participant's data should be retained or excluded from statistical analysis.
Once data is secured, what two primary qualities should a researcher review the raw data for, and what are the three specific types of response issues they should look for to determine data usability?
Diagnose the specific raw data issues represented by these three anomalous surveys, and explain why identifying these issues at this stage is crucial for the instructor's subsequent statistical analysis.
Suppose you have just secured survey data where participants rated their stress on a -to- scale, and you discover a response of . Apply the rules of checking raw data to explain what this specific response represents and what decision you must make because of it.