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Data Collection & Analysis Flashcards

7 cards from real CRP 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 Data Collection & Analysis flashcards as text
  1. When using systematic random sampling, a researcher selects every 10th person from a list of 500. What is the sampling interval?

    Answer: 10

    The sampling interval is 10 because every 10th element is selected from the population list.

  2. Which data collection method is most appropriate for capturing sensitive or stigmatized behaviors in a research study?

    Answer: Self-administered questionnaires

    Self-administered questionnaires reduce social desirability bias, making respondents more likely to disclose sensitive information honestly.

  3. A researcher notices that survey response rates drop significantly after question 20 in a 40-question survey. This phenomenon is best described as:

    Answer: Respondent fatigue

    Respondent fatigue occurs when participants become tired or disengaged during long surveys, leading to lower quality responses or dropout.

  4. In content analysis, the unit of analysis refers to:

    Answer: The specific element of content that is categorized and counted

    The unit of analysis is the specific element (word, phrase, theme, paragraph) that researchers identify, categorize, and count in content analysis.

  5. Which level of measurement allows for the calculation of a meaningful ratio between values?

    Answer: Ratio

    Ratio measurement has a true zero point, which allows meaningful ratios to be computed (e.g., one value is twice another).

  6. A researcher wants to compare average satisfaction scores across three treatment groups. The most appropriate statistical test is:

    Answer: One-way ANOVA

    One-way ANOVA is used to compare means across three or more independent groups simultaneously.

  7. Inter-rater reliability in qualitative coding is commonly measured using:

    Answer: Cohen's kappa

    Cohen's kappa is the standard statistic for measuring agreement between two raters on categorical coding decisions, accounting for chance agreement.