L4 | CONT

• FACTORS TO CONSIDER IN DETERMINING SAMPLE SIZE

  1. Homogeneity of the population
  2. Degree of precision desired
  3. Types of sampling procedure
  4. Use of formulas
• HOMOGENEITY OF THE POPULATION

  • The higher the degree of variation within the population, the smaller the sample size can be utilized
• DEGREE OF PRECISION DESIRED BY THE RESEARCHER

  • A larger sample size will result in greater precision or accuracy of the results
• TYPES OF SAMPLING PROCEDURE

  • Probability sampling utilizes smaller sample sizes than non probability sampling
• SLOVIN'S FORMULA

  • Used to compute sample size
  • Used when you have limited information about the characteristics of the population and are using non probability sampling procedure
• CALMORIN'S FORMULA

  • Used when the population is more than 100 and the researcher decides to utilize scientific sampling
• • Sample sizes as small as 30 are adequate to ensure that sampling distribution of the mean will approximate the normal curve
• UNIVERSAL SAMPLING

  • When the total population is equal to or less than 100, this number may serve as the sample size
• ACCEPTABLE SIZES FOR DIFFERENT TYPES OF RESEARCH

  • 10-20% - descriptive
  • 30 - correlation
  • 15/group - comparative
  • 15-30/group - experimental
• SAMPLING

  • Technique used to select members of the target population to identify characteristics of the whole population
• TYPES OF SAMPLING METHODS

  1. Probability sampling
  2. Non probability sampling
• PROBABILITY SAMPLING

  • Also known as random sampling
  • Researcher randomly chooses members of the target population
  • The members have an equal chance to be selected
• NON PROBABILITY SAMPLING

  • Also known as non random sampling
  • Researcher selects participants based on research goals
• PROBABILITY SAMPLING

  1. Simple random sampling
  2. Cluster sampling
  3. Systematic sampling
  4. Stratified random sampling
• SIMPLE RANDOM SAMPLING

  • Every participant is chosen randomly
• CLUSTER SAMPLING

  • Researcher divides the whole population into sections or clusters which will represent a population
  • Determined based on specific demographic factors
• SYSTEMATIC SAMPLING

  • Researcher chooses at regular intervals except for the first one chosen
  • Every nth time
• STRATIFIED RANDOM SAMPLING

  • Researcher divides the population into smaller groups or subgroups based on similarity
• NON PROBABILITY SAMPLING

  1. Convenience sampling
  2. Purposive sampling
  3. Snowball sampling
  4. Quota sampling
• CONVENIENCE SAMPLING

  • Relies on accessibility or proximity and availability of participants
• PURPOSIVE SAMPLING

  • Researcher takes into account the purpose of the study and the capability of the target participants
• SNOWBALL SAMPLING

  • Also known as referral sampling
  • Subjects are not easily traceable
  • People who have already responded are asked to invite people they know to participate in the same study
• QUOTA SAMPLING

  • Conducted based on a preset standard