Sample interview questions: Can you explain the process of collecting and analyzing data on television program performance?
Sample answer:
1. Data Collection:
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Set Clear Objectives: Clearly define the purpose of your research and the key performance indicators (KPIs) you want to track. This will guide your data collection efforts.
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Identify Data Sources: Determine the most relevant sources of data for your analysis. Common sources include:
- Nielsen Ratings: Provides audience size, demographics, reach, and frequency information for TV programs.
- People Meters: Captures viewing behavior at the household level, including channel selection, program duration, and commercial breaks.
- Online Surveys: Collects feedback and preferences from viewers through online surveys and questionnaires.
- Social Media Data: Gathers information from social media platforms about viewer engagement, sentiment, and buzz.
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Focus Groups: Conducts discussions with small groups of viewers to gain qualitative insights into their viewing habits and preferences.
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Gather Data: Use appropriate data collection methods to gather relevant data from the identified sources. This may involve:
- Automating Data Feeds: Set up automated systems to continuously collect data from sources like Nielsen Ratings and people meters.
- Conducting Surveys: Design and administer surveys to collect viewer feedback and preferences.
- Monitoring Social Media: Use social media monitoring tools to track viewer engagement and sentiment.
- Organizing Focus Groups: Recruit and conduct focus group discussions with viewers.
2. Data Processing and Cleaning:
- Data Integration: Combine data from various sources into a centralized repository for analysis.
- Data Cleaning: Review and cleanse the collected data to remove errors, inconsistencies, and outliers.
- Data Transformation: Convert the data into a format suitable for analysis, such as creating pivot tables or normalizing data.
3. Data Analysis:
- Descriptive Analysis: Summarize the data using descriptive statistics such as averages, medians, modes, and frequencies. This provides a basic understanding of the data distribution and trends.
- Inferential Analysis: Use inferential statistics, such as hypothesis testing and regression analysis, to draw conclusions and make predictions based on the data. Read full answer
Source: https://hireabo.com/job/8_2_43/Television%20Research%20Analyst