Related Experiment Video
Updated: Jun 7, 2026

06:54
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
Published on: June 21, 2019
Random time sampling with self-observation for library cost studies: unit costs of reference questions
Bulletin of the Medical Library Association
|January 1, 1980
Summary
This study reveals the average cost of reference librarian time, with directional questions costing $1.98 and extended queries $4.57. Random time sampling offers a reliable and cost-effective method for libraries to track staff time.
Area of Science:
- Library and Information Science
- Workforce Management
Background:
- Assessing the time allocation and associated costs of reference librarians is crucial for efficient library operations.
- Understanding the cost of different types of reference interactions can inform resource allocation and service improvement.
Purpose of the Study:
- To quantify the average wage costs associated with different categories of reference questions.
- To evaluate the effectiveness of random time sampling with self-observation as a data collection method in library settings.
Main Methods:
- Utilized random alarm devices and a structured checklist to sample reference librarian working time.
- Categorized reference questions into mutually exclusive types (e.g., directional, extended).
- Applied average wage rates to calculated time percentages to determine cost per question type.
Main Results:
- Average wage cost for directional reference questions was $1.98.
- Average wage cost for extended reference queries was $4.57.
- Random time sampling demonstrated acceptable reliability with minimal service interference and data distortion.
Conclusions:
- Random time sampling with self-observation is a viable, low-cost method for library managers to assess staff time allocation.
- The findings provide a quantitative basis for understanding the financial implications of different reference service demands.
Related Concept Videos
Surveys
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.
Systematic Sampling Method
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.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
Convenience Sampling Method
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.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Stratified Sampling Method
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...
To choose a stratified sample, divide the population into groups called strata and then take a...
Cluster Sampling Method
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...
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...
Random Sampling Method
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. Among the various sampling methods used by...

