Survey Sample

A data collection method that selects a small portion of the population to represent the whole. This approach is used to obtain accurate information efficiently in terms of time and cost.

Questionnaire Review

An evaluation process that ensures questions in the survey are clear, relevant, and unbiased, aiming to gather valid and reliable data.

Questionnaire Scripting

Questionnaire scripting involves creating digital questionnaires using software to facilitate data collection, skip logic, and automatic validation.

Respondent Recruitment

Respondent recruitment is the process of gathering data by finding individuals to participate in research or surveys to obtain a representative sample.

Online Project Dashboard

A website that displays project data in real-time, making it easier to monitor progress and performance through graphical visualization to support decision-making.

Quality Control (QC) is the process of ensuring survey accuracy by re-contacting 20% of respondents and checking for "liners" (uniform answers) and "speeders" (rapid responses) before conducting statistical data analysis.

Data Analysis

The process of collecting, processing, and evaluating data to discover patterns, trends, or useful information. Its goal is to assist in decision-making, problem-solving, and understanding situations or phenomena based on the available data.

Merging Datasets

Merging datasets is the process of combining two or more datasets into one for a more comprehensive and holistic analysis.

Data Cleaning

Data cleaning is the process of identifying and correcting or removing inaccurate, incomplete, or irrelevant data from a dataset to improve the quality and reliability of data analysis.

Cross tabulations

Cross tabulations are an analysis method that displays the distribution of two or more variables in a table to identify relationships between variables, making it easier to understand correlations and compare data in detail.

T-Test and Z-Test

The t-test is a statistical method used to compare the means of two small sample groups to determine if there is a significant difference. The z-test, on the other hand, is used to compare the means of two large sample groups or when population variance is known, to assess the significance of the difference.

Significance

A color-coding system is used to indicate significance, with green representing higher values and red for lower values, helping to visualize differences quickly and clearly.

Weighting

Weighting is a method of adjusting data to ensure the representativeness of the sample by assigning greater weight to some respondents so that the analysis results reflect the actual population.