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Related Concept Videos

Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Systematic Sampling Method01:17

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Convenience Sampling Method00:55

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Survey Breakoffs in a Computer-Assisted Telephone Interview.

Katherine A McGonagle1

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Nearly 23% of telephone interviews experience temporary breakoffs, requiring multiple sessions. This study analyzes causes and consequences of these breakoffs in computer-assisted telephone interviews using new paradata.

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Area of Science:

  • Survey Methodology
  • Social Sciences Research Methods
  • Data Collection Techniques

Background:

  • High rates of temporary breakoffs (nearly 23%) in telephone interviews necessitate further investigation.
  • Existing research on survey breakoffs primarily focuses on self-administered web surveys, leaving a gap in understanding telephone interview dynamics.

Purpose of the Study:

  • To investigate the causes and consequences of temporary breakoffs in computer-assisted telephone interviews.
  • To utilize novel paradata to describe the prevalence, patterns, and contributing factors of telephone interview breakoffs.

Main Methods:

  • Analysis of paradata specifically collected on telephone interview breakoffs.
  • Examination of breakoff prevalence, associated field effort, and occurrence across instrument sections.
  • Categorization of breakoff sources: respondent-initiated, interviewer-initiated, or technical issues.
  • Investigation of associations between breakoffs and respondent/interviewer characteristics.

Main Results:

  • Detailed description of telephone interview breakoff prevalence and patterns.
  • Identification of specific survey sections and questions prone to breakoffs.
  • Understanding the primary sources of breakoffs (respondent, interviewer, or technical).
  • Insights into respondent and interviewer characteristics associated with breakoffs.

Conclusions:

  • Findings offer crucial information regarding the survey response process in telephone interviews.
  • Recommendations are provided for improving instrument design and interviewer training to mitigate breakoffs.
  • Highlights the need for collecting additional paradata to deepen understanding of the breakoff phenomenon.