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Research Methods & Evidence-Based Practice Flashcards

7 cards from real CPP practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Research Methods & Evidence-Based Practice flashcards as text
  1. Which evaluation framework assesses parking programs on inputs, activities, outputs, and outcomes in a sequential model?

    Answer: Logic model

    A logic model maps the chain from inputs through activities and outputs to short- and long-term outcomes.

  2. When reviewing published parking studies, a practitioner should primarily assess which to gauge reliability of findings?

    Answer: The methodology and sample size

    Evaluating methodology and sample size helps determine whether findings are trustworthy and generalizable.

  3. A before-and-after study of a new parking guidance system lacks a control group. This design is called:

    Answer: Quasi-experimental

    Quasi-experimental designs test interventions without random assignment to a control group, limiting causal conclusions.

  4. Which measure of central tendency is most resistant to extreme outliers in parking transaction data?

    Answer: Median

    The median is the middle value and is not affected by very high or low outliers the way the mean is.

  5. A parking authority publishes an annual report based solely on its own operational data without external verification. This is an example of:

    Answer: Primary source research

    Primary source research is data collected directly by the reporting organization from its own operations.

  6. In parking research, 'interrater reliability' is most important when:

    Answer: Two or more observers classify the same parking events

    Interrater reliability measures the degree of agreement when multiple observers independently code or classify the same data.

  7. A parking researcher uses existing city permit records rather than collecting new data. This approach is called:

    Answer: Secondary data analysis

    Secondary data analysis uses data previously collected for another purpose, saving time and resources.