Module 1: Foundations of Sampling and Statistical Inference

·       The population, sample, and sampling frame: Clear definitions and distinction

·       Rationale for sampling: Cost reduction, speed, and accuracy

·       Sources of error: Sampling error versus non-sampling error

·       Key concepts: Parameter estimation, confidence intervals, and margin of error

·       Practical session: Calculating and interpreting confidence intervals for an estimated population mean from a simple random sample.

Module 2: Simple Random Sampling (SRS) and Estimation

·       Definition and mechanism of Simple Random Sampling (SRS)

·       Procedures for drawing an SRS sample with and without replacement

·       Estimation of population mean, total, and proportion under SRS

·       Calculating the variance and standard error of SRS estimates

·       Practical session: Using a random number generator to select an SRS from a simulated population list (sampling frame).

Module 3: Systematic and Cluster Sampling Techniques

·       Systematic Sampling: Definition, advantages, and risk of periodicity bias

·       Cluster Sampling: Definition, rationale, and identification of primary and secondary sampling units

·       Estimation of mean and total under single-stage cluster sampling

·       Comparing efficiency (design effect) of cluster sampling versus SRS

·       Practical session: Designing a Systematic Sample for quality control and simulating the impact of clustering on variance estimation.

Module 4: Stratified Random Sampling

·       Definition of strata and the conditions for effective stratification

·       Methods of allocation: Proportional allocation and optimum (Neyman) allocation

·       Estimation of population parameters under stratified sampling

·       Comparing stratified sampling to SRS: The benefit of variance reduction

·       Practical session: Analyzing a dataset to define optimal strata boundaries and calculating the required sample allocation for minimum variance.

Module 5: Complex Survey Designs: Multi-Stage and Multi-Phase

·       Multi-Stage Sampling: The sequential selection of sampling units (e.g., region  district  household)

·       Estimation procedures under two-stage sampling (e.g., selecting clusters, then elements within clusters)

·       Multi-Phase Sampling: Using initial phase data for subsequent phase selection or estimation

·       Variance estimation methods for multi-stage designs (e.g., Taylor Series Linearization)

·       Practical session: Constructing a two-stage sampling frame hierarchy for a national survey of businesses.

Module 6: Probability Proportional to Size (PPS) Sampling

·       The concept of Measure of Size (MOS) and its role in PPS sampling

·       Why PPS is preferred for large surveys: Controlling variance and ensuring self-weighting at lower stages

·       Sampling with Replacement (WR) vs. Without Replacement (WOR) in PPS

·       Hansen-Hurwitz and Des Raj estimators for PPS samples

·       Practical session: Calculating cumulative measures of size and selecting Primary Sampling Units (PSUs) using the PPS method.

Module 7: Non-Probability Sampling Methods and Limitations

·       Overview of non-probability techniques: Convenience, Judgment, Quota, and Snowball sampling

·       The inability to calculate sampling error and potential for selection bias

·       Uses and misuses of non-probability methods in market research and qualitative studies

·       Techniques for assessing the representativeness of non-probability samples

·       Practical session: Critique of a case study report that misused a non-probability sample to draw inference about a large population.

Module 8: Sample Size Determination and Power Analysis

·       Factors influencing sample size: Margin of error, confidence level, and population variance

·       Sample size formulas for estimating means and proportions under SRS and Stratified designs

·      Introduction to Statistical Power: Defining , , and the minimum detectable effect size

·       Calculating sample size needed for Hypothesis Testing (Power Analysis)

·       Practical session: Determining the minimum required sample size for an organizational quality audit to achieve a  confidence level and  margin of error.

Module 9: Bias, Non-response, and Weighting Adjustments

·       Understanding common sources of survey bias: Coverage error, measurement error, and non-response bias

·       Methods for reducing non-response error: Protocols, incentives, and follow-up strategies

·       Weighting adjustments: Raking, post-stratification, and calibration techniques to correct for non-response

·       The impact of weighting on the final variance of estimates

·       Practical session: Applying post-stratification weights to a sample dataset to align it with known population totals (e.g., age or gender distribution).

Module 10: Designing a Comprehensive Sampling Plan

·       Integrating design decisions: The systematic flow from objective to final sample selection

·       Documenting the sampling plan: Justification, procedures, and required resources

·       Practical implementation challenges: Mapping, field logistics, and interviewer training

·       Methods for quality assurance and control during data collection

·       Practical session: Developing a complete, documented sampling plan, including budget and timeline, for a fictional product satisfaction survey.

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588