SOC 2111 Lecture Notes - Lecture 11: Simple Random Sample, Sampling Frame, Cluster Sampling

• School: University of Ottawa
• Department: Sociology
• Course: SOC 2111
• Professor: Catherine Tuey

Document Summary

Mathematically random procedure where each sampling element has an equal probability of being selected. Example: population 900 and want to sample 100. Determine number of digits you"ll need in random numbers you. Count the larger number of digits you"ll need for the sample: tens (10-99) 2 digits, hundreds (100-999) 3 digits, thousands (1000 -9999) 4 digits. To create number of random numbers needed. How to move across table (down, up, across) Where to start (columns and row; random) Ignore any numbers greater than population (e. g. 988) or. Return to list and find the 100 random numbers collected. Type of random sample where a researcher calculates sampling interval to select every kth case in sampling frame. Sampling interval: 1 in k, where k is the number. Example: population 900; sample 300: sampling interval = 900/300 = 3, k=3, select every 1/3 cases. Systematic sample in action: number list, determine where to start (random) (e. g. 30, select every k name (e. g. 3)