Probability And Non Probability Sampling Ppt. Presenter – Anil Koparkar Moderator – Bharambhe
Presenter – Anil Koparkar Moderator – Bharambhe sir. This document discusses nonprobability sampling designs and their major issues. khan jadoon * Characteristics of Probability Sampling The following are the main characteristics of probability sampling: 1. Mar 20, 2025 · Enabling Objectives: 1. There are several sampling techniques including simple random sampling, stratified sampling, cluster sampling, systematic sampling, and non-probability sampling. pptx - Free download as Powerpoint Presentation (. In addition, nonresponse effects may turn any probability design into a nonprobability design if the characteristics of nonresponse are not well understood, since nonresponse effectively modifies each element's probability of being sampled. SAMPLING TECHNIQUES Sampling techniques are used to economize (on the part of the researcher) the following: Time Effort Money 03/20/25 eccphd@yahoo. It describes convenience sampling as selecting subjects due to their easy accessibility to the researcher. Define nonprobability and probability sampling. Purposive Sampling (Penarikan Sampel Secara Sengaja) Cara ini membutuhkan kemampuan dan pengetahuan yang baik dari peneliti terhadap populasi penelitian. Census 2. Once the Quota for different sub groups are allocated, the sample could be drawn randomly or purposively. Aug 8, 2014 · Sampling. Jul 5, 2022 · Non-probability sampling Non-probability sampling designs are used in both quantitative and qualitative research when the number of units in the population is either unknown or impossible to individually identify. It defines key terms like sample, random sampling, and non-probability sampling. Probability sampling assigns all population members an equal chance of selection, allowing for random selection techniques like simple random sampling. Non-probability sampling involves selecting subjects based on accessibility and judgment rather than random selection, limiting the ability to generalize study findings. Apply the different sampling techniques. Example: snowball sampling methods (Edin and Lein) Why use such methods? This document summarizes probability and non-probability sampling methods. Jun 18, 2020 · What are probability samples and what are non-probability samples. It defines population as the entire set of items from which a sample can be drawn. Probability sampling is generally considered to be more representative and reliable than non-probability techniques as it allows for more accurate estimation of population parameters and reduces the potential for bias in the sample selection process. The document provides an overview of non-probability sampling techniques, detailing definitions and advantages of various types such as convenience, quota, purposive, and snowball sampling. 1. For each type, it provides a Non-probability sampling (pp. The purpose of these methods is to gather data There are two general types of sampling methods: probability sampling and non-probability sampling. It discusses different types of sampling methods including probability sampling (simple random, stratified, cluster, systematic) and non-probability sampling (convenience, judgmental, quota, snowball). Probability sampling methods have several disadvantages: They are often time-consuming and costly to implement, especially for large populations or those in remote locations. Find predesigned Probability Non Probability Sampling Ppt Powerpoint Presentation Model Skills Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. Oct 26, 2014 · Probability Sampling. The key differences Feb 4, 2023 · Non-probability sampling techniques have been discussed with the necessary example so that the readers can easily understand which method will be more appropriate for their study. Non-probability sampling does not give all members an equal chance, relying instead on subjective judgment in techniques like convenience sampling. It also discusses non-probability sampling and provides examples. The document explains when and how to use different sampling techniques and notes important factors to consider in the sampling process. It defines sampling as selecting a subset of individuals from a larger population to gather information about that population. In these types of research, the aim is not to test a hypothesis about a broad population, but to develop an initial understanding of a small or under-researched population. This document discusses different types of non-probability sampling techniques. Framework. Quota sampling ensures equal representation Find predesigned Non Probability Sampling Ppt Powerpoint Presentation Show Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. Accidental, Haphazard or Convenience Sampling Purposive Sampling Modal Instance Sampling Expert Sampling Quota Sampling Heterogeneity Sampling Snowball Sampling . Mar 29, 2015 · View Notes - Chapter7_PPT_Babbie13e from GOVT 19798 at Houston Community College. Non-probability techniques rely more on researcher judgment. Dec 1, 2024 · The differences between probability sampling techniques, including simple random sampling, stratified sampling, and cluster sampling, and non-probability methods, such as convenience sampling, purposive sampling, and snowball sampling, have been fully explained. Non-probability sampling (pp. SAMPLING VS. However, they can be easily associated with similar educational contexts. Some common probability techniques Probability and non-probability sampling techniques are used to select samples from populations. Chapter 7 The Logic of Sampling Chapter Outline A Brief History of Sampling Nonprobability Sampling The Theory and Dengan penarikan sample non probability, peneliti tidak dihadapkan pada cara-cara yang rumit. PROBABILITY SAMPLES. It then covers probability sampling methods like simple random sampling, systematic sampling, and stratified sampling. It provides examples to illustrate how each technique is implemented in practice. ppt), PDF File (. This presentation educates you about Non-Probability Sampling, Types of non-probability sampling, When to use non-probability sampling?, Advantages of non-probability sampling and difference. The key purpose of sampling is to select a group of individuals that represent the larger population to make generalizations about it. It defines key terms like population, sample, and frame. Feb 25, 2012 · SAMPLING PROCEDURES. It also defines key terms like Find predesigned Non Probability Sampling Advantages Ppt Powerpoint Presentation Icon Mockup Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. Probability sampling methods like simple random sampling, stratified random sampling, and systematic random sampling aim to provide an unbiased representation of the population. TYPES OF SAMPLING PLANS 4. PROCEDURE FOR DRAWING SAMPLE 3. Sampling is the process of selecting a subset of individuals from within a population to estimate characteristics of the whole population. Compare and contrast a population and a sample. It defines key terms like population, sample, probability sampling, and non-probability sampling. 20 – 21) Non-probability sampling methods cannot specify the probability that a given sample will be selected. It also discusses non-probability sampling techniques including convenience sampling, purposive sampling, and quota sampling. Identify the types of nonprobability and probability sampling strategies. Non Probability Sampling. This document provides an overview of different sampling methods, including probability and non-probability sampling. It describes several types of nonprobability samples, including accidental, purposive, expert, quota, snowball, and heterogeneity sampling. Selain itu, dokumen menjelaskan pentingnya akurasi dan relevansi data dalam Random sampling and probability are central to inferential statistics. Non-probability methods May 27, 2021 · In the last section, an application of two non-probability sampling techniques-convenience and voluntary sampling-in a research project about the use of formative assessment during COVID19's first Non Probability Sampling - Free download as Powerpoint Presentation (. Slideshow 5890140 by vielka-salas Dec 27, 2024 · Learn the process of sampling, types including probability and non-probability, and ensuring external validity in research. MKTG 3342 Fall 2008 Professor Edward Fox. The document focuses on the sampling process in research, defining key terms such as population, sample, and sampling methods. Wrong reporting or recording or processing of data can take place in a sample survey also. Probability can be approached from an a priori viewpoint, using theoretical probabilities, or an a posteriori viewpoint Jul 5, 2022 · Non-probability sampling Non-probability sampling designs are used in both quantitative and qualitative research when the number of units in the population is either unknown or impossible to individually identify. It defines a population as the entire group being studied, while a sample is a subset of the population. - Download as a PPT, PDF or view online for free Below, we name some of the most efficient and popular ones, organized into different classifications to make it easier for you to identify them. Introduction Need and advantages Methods of sampling Probability sampling Simple Random Sampling – With & Without Replacement Stratified Random Sampling Systematic Random Sampling Cluster Sampling It also discusses non-probability sampling methods such as convenience sampling, purposive sampling, quota sampling, snowball sampling, and self-selection sampling. For each method, it describes the process, advantages, and disadvantages. Dec 20, 2024 · What is probability sampling? Read this article to know how this method works, its importance in research, and how it improves the accuracy of research findings, explained with simple examples. Quota sampling is a non-probability sampling technique where researchers look for specific characteristics in respondents and take a tailored sample proportionate to the population. It begins by defining sampling and its purposes. Common methods are simple random, stratified, cluster, and systematic sampling. Non-Probability Sampling - Free download as Powerpoint Presentation (. SAMPLING PROCEDURES. Probability Sampling (Scientific) Non Probability Sampling. It details various types of sampling techniques such as simple random sampling, stratified sampling, systematic sampling, cluster sampling, and sequential sampling, along with their merits and demerits. . Sampling. Types of probability sample including simple random sample and stratified random sample. It details various techniques within these categories, such as simple random sampling, stratified sampling, and cluster sampling, emphasizing their advantages and limitations. Simple random sampling involves selecting a sample that gives each individual an equal Non Probability Sampling PowerPoint Template ₹ 264 Features: Widescreen 16:9 You can change the color of the icons You can change the size, color and orientation of the shape Replace the text as per your need Replace an image as per your requirement Probability sampling is a technique that ensures all individuals in a population have equal chances of being selected. This document discusses different probability sampling techniques: simple random sampling, systematic sampling, stratified sampling, and cluster sampling. It then describes various probability sampling techniques like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling. Understand sampling definitions, stages, and types like simple random, systematic, stratified, and cluster sampling. On the other hand, a non-probabilistic sampling technique is the method of choice when the population is not created equal and some participants are more desirable in advancing the research project´s objectives. The key takeaway is Jan 2, 2020 · Probability versus Non-probability Sampling Techniques • In probability sampling • Representation is determined by the fact that every unit has an equal chance of being selected, based on probability theory • In non-probability sampling • There is an assumption that there is an even distribution of characteristics within the population Find predesigned Non Probability Sampling Ppt Powerpoint Presentation Show Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. Non-probability techniques like convenience, judgmental, snowball, and quota sampling rely Oct 5, 2014 · Nonprobability Sampling Designs. Additionally, it outlines the steps involved in the sampling process and considerations for selecting Dokumen ini membahas teknik sampling dan pengumpulan data, termasuk berbagai jenis variabel dan skala pengukuran seperti skala Likert, Guttman, dan semantik deferensial. These techniques are essential for accurately representing populations in surveys and It also covers non-probability sampling techniques such as convenience sampling, purposive sampling, volunteer sampling, quota sampling, snowball sampling, and consecutive sampling. CHAPTER 7 THE LOGIC OF SAMPLING Chapter Outline Introduction A Brief History of Sampling Nonprobability Sampling The This document discusses different sampling methods used in research. 01/05/2020 G. For topics stay tuned with Learnbay. Advantages and disadvantages of each technique are also outlined. Likely to misrepresent the population May be difficult or impossible to detect this misrepresentation. In the last section, an application of two non-probability sampling techniques – convenience and voluntary sam KEYWORDS: probability sampling, non-probability sampling, qualitative research methods, quantitative research methods. The document discusses probability and non-probability sampling methods. Example: snowball sampling methods (Edin and Lein) Why use such methods? Sep 19, 2019 · Non-probability sampling techniques are often used in exploratory and qualitative research. It also covers non-probability sampling techniques such as convenience sampling, purposive sampling, volunteer sampling, quota sampling, snowball sampling, and consecutive sampling. This document discusses non-probability sampling methods. pptx from RSCH 5700 at Johnson and Wales University. Remember that non-sampling error, as its name suggests, has nothing to do with our sampling process. k. The results should not be used to make generalizations about a larger population because the respondents were not randomly selected and may not be representative of the larger population. Define the concept of sampling 2. Key steps are described for each technique, such as numbering units, calculating Non-Probability Sampling - Free download as Powerpoint Presentation (. Various types include purposive, convenience, volunteer, consecutive, quota, snowball, and genealogy sampling, each with its advantages and disadvantages. There are two general types of sampling methods: probability sampling and non-probability sampling. ppt / . There are two types of random sampling - sampling with replacement, where selected members are returned before the next selection, and sampling without replacement, where members are not returned. pptx), PDF File (. Definitions Simple Random Sampling Stratified Sampling Systematic Sampling. INTRODUCTION: Sampling vs. Consecutive sampling is similar but seeks to include all accessible subjects. Non probability Sampling techniques. Oct 20, 2014 · Please consider footnoting this phrase in a report that uses non-probability sampling: “This survey used non-probability sampling to select participants. Dec 27, 2024 · Learn the process of sampling, types including probability and non-probability, and ensuring external validity in research. Terdapat penjelasan mengenai prosedur pengambilan sampel, teknik sampling, serta metode pengumpulan data seperti wawancara, observasi, dan kuesioner. The key differences Aug 23, 2021 · This presentation educates you about Non-Probability Sampling, Types of non-probability sampling, When to use non-probability sampling?, Advantages of non-probability sampling and difference. The document outlines various sampling methods, categorizing them into probability and nonprobability sampling. The discussion is aimed at 1. Jul 23, 2025 · Sampling is a crucial aspect of research that involves selecting a subset of individuals or items from a larger population to infer conclusions about the entire population. com 4. Types of Nonprobability Samples. While non-probability sampling is often used due to constraints like Get amazing professional PPTs from Advantages Non Probability Sampling presentation templates and Google slides. Introduction Need and advantages Methods of sampling Probability sampling Simple Random Sampling – With & Without Replacement Stratified Random Sampling Systematic Random Sampling Cluster Sampling Non-probability Sampling: If there is no such idea of probability then the method of sampling is known as non- probability sampling. Non-probability Sampling: If there is no such idea of probability then the method of sampling is known as non- probability sampling. Various types include random sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling, each with specific methods and examples for implementation. Various methods are outlined, including convenience sampling, purposive sampling, quota sampling, and snowball sampling, each with its own advantages and disadvantages. PPT Presentation - Free download as Powerpoint Presentation (. But for external validity, or generalizability, it’s best to use probability sampling methods, which allow for stronger statistical inferences. - Download as a PPT, PDF or view online for free Why Sampling Probability vs non-probability sampling methods Sampling with replacement vs without replacement Random Sampling Methods Simple random sampling with and without replacement Simple random sampling without replacement Simple random sampling with replacement Jan 8, 2025 · Learn about the importance of sampling in research, factors to consider in sample design, nature of sampling elements, inference process, estimation, hypothesis testing, sampling techniques, sample size determination, sampling errors, and types of sampling methods. The document concludes by explaining the different types of sampling errors like sample errors and non-sample errors. It defines non-probability sampling as selecting samples based on the researcher's judgment rather than random selection. The discussion is aimed at This document summarizes probability and non-probability sampling methods. This document discusses sampling methods in research, categorizing them into probability and non-probability sampling. Common techniques include convenience sampling, quota sampling, judgmental sampling, and snowball sampling, each with specific applications and pros and cons such as ease of data Feb 2, 2024 · This article discusses the major issues with nonprobability sampling designs, such as the likelihood of misrepresenting the population and the difficulty in detecting this misrepresentation. This document discusses different types of sampling methods used in qualitative research. Padre Fred / MLT/CSHS: Research Methodology; 2011 – 12 Learning Outcomes (cont’d) Discuss the contribution of nonprobability and probability sampling strategies to strength of evidence provided by study findings. Beberapa Teknik Non Probability Sampling 1. Researchers first divide the population into groups, determine Aug 8, 2012 · Non-Probability sampling methods Probability Sampling What you actually observe in the data What you want to talk about Population Sampling Process Sample Sampling Frame Inference Using data to say something (make aninference) with confidence, about a whole (population) based on the study of a only a few (sample). Each type is This document discusses non-probability sampling, a technique where the likelihood of selecting any member for a sample cannot be calculated. 3. Probability sampling involves methods where the probability of selection of each individual is known, such as simple random sampling, systematic random sampling, stratified random sampling, and cluster random sampling. Convenience sampling involves selecting subjects because they are easily accessible to the researcher. The results emerging from non-probability samples are sometimes subjective and cannot be generalized to the population. There are two main types of sampling: probability sampling, where every member has an equal chance of being selected, and non-probability sampling, where members do not have an equal chance. It then describes several common non-probability sampling methods: convenience sampling, which uses readily available participants; snowball sampling, which uses referrals from initial participants to recruit more; purposive sampling This presentation educates you about Non-Probability Sampling, Types of non-probability sampling, When to use non-probability sampling?, Advantages of non-probability sampling and difference. This document discusses various sampling methods used in research. Advantages and Probability and non probability of sampling - Free download as Powerpoint Presentation (. Two primary categories of sampling techniques are probability sampling and non-probability sampling. understand the difference of probability sampling and Non-probability sampling. Non-probability sampling refers to methods where researchers select participants based on subjective judgment rather than randomization, leading to unequal chances of selection for units in the target population. Accidental, haphazard, convenience Modal instance Purposive Expert Quota Snowball Heterogeneity sampling. There are two main types of sampling: probability sampling and non-probability sampling. Outline 1. Non-probability sampling techniques are the best approach for qualitative research. This document discusses sampling techniques used in educational research. Get amazing professional PPTs from Advantages Non Probability Sampling presentation templates and Google slides. These methods include convenience sampling, quota sampling, judgment sampling, and network sampling, each with their own advantages and disadvantages, often used for qualitative research or when time and budget This document discusses sampling techniques used in research. The first type of sampling is probability sampling, which involves a random or probabilistic process to select participants. probability and non-probability sampling - Free download as Powerpoint Presentation (. It emphasizes that non-probability sampling does not offer equal chances for all population members to be selected, which affects reliability and representativeness of results. Such samples are called non-probability samples. Aug 8, 2012 · Non-Probability sampling methods Probability Sampling What you actually observe in the data What you want to talk about Population Sampling Process Sample Sampling Frame Inference Using data to say something (make aninference) with confidence, about a whole (population) based on the study of a only a few (sample). txt) or view presentation slides online. It then explains different sampling techniques in more detail, including simple random sampling, systematic random sampling, stratified random sampling, multi-stage cluster sampling, convenience sampling, snowball sampling onal contexts within the country of Malta. Compare the advantages and disadvantages of specific nonprobability and probability sampling strategies. Probability sampling uses random selection so each member has an equal chance of selection, allowing results to be generalized. Judgment sampling involves the researcher choosing samples based on their professional knowledge. SAMPLING METHODS Nonprobability sampling methods include convenience sampling, quota sampling, and purposive sampling. Non-probability sampling methods allow researchers to select sample subjects without assigning probabilities, which can lead to findings that are not generalizable to the population. Quota sampling determines the sample size first and then fixes quotas for different population categories that Jul 12, 2014 · Sampling Techniques. Oct 25, 2025 · Probability vs non-probability sampling explained with definitions, examples, scenarios, and the role of AI-powered survey platforms like TheySaid. Apr 14, 2018 · View Babbie_7e_PPT_ch_07. pdf), Text File (. Aug 16, 2021 · You can use either probability or non-probability sampling methods in single-stage and multi-stage sampling. Let’s take a closer look at these two methods of sampling. 2. The document provides an overview of sampling methods used in research, distinguishing between probability sampling and non-probability sampling. Jul 12, 2014 · Sampling Techniques. The difference between probability and non-probability sampling are discussed in detail in this article. Types of Sampling Sampling in market action research is of two types – probability sampling and non-probability sampling. It also explores different types of nonprobability samples, including accidental, haphazard, convenience, modal instance, purposive, expert, quota, snowball, and heterogeneity sampling. Non -Probability Sampling (1) - Free download as Powerpoint Presentation (. This document discusses non-probability sampling techniques. Jul 31, 2023 · Quota sampling is a non-probability sampling method where the researcher selects participants based on specific characteristics, ensuring they represent certain attributes in proportion to their prevalence in the population. The different types of probability and non-probability samples are enumerated in the following sections of this chapter. This document provides an overview of key concepts in sampling and statistics. Examples are provided for each. Probability sampling techniques like simple random sampling and systematic sampling are preferred as they allow for statistical generalization to the overall population. Non-Probability Sampling-- Quota Sampling: The sample is drawn first by fixing quota for different sections which the research aims to study. Mar 25, 2024 · Non-probability sampling is a sampling technique in which samples are selected based on non-random criteria, often influenced by the researcher’s judgment or convenience. Non-probability sampling is used when the population parameters are either unknown or not possible to individually identify. It details both probability sampling techniques, like simple random and stratified sampling, and non-probability methods, including convenience and snowball sampling, along with their advantages and disadvantages. It then describes probability sampling methods like systematic sampling and non-probability sampling methods like purposive sampling. It begins by defining key terms like population, sample, and sampling techniques. Click to learn how to differentiate probability and non-probability sampling. In this blog, we will explain these two types of sampling and when it is appropriate to use them. An Example. Jul 20, 2022 · Non-probability sampling is a sampling method that uses non-random criteria like the availability, geographical proximity, or expert knowledge of the individuals you want to research in order to answer a research question. 18 hours ago · A non-probability convenience sampling technique was used for selecting 200 junior college students who set in the criteria for data collection, Major findings: The data suggests a positive shift in knowledge scores following the intervention, with a marked reduction in poor knowledge and increases in both average and good knowledge levels. NONPROBABILITY SAMPLES 5. In probability sampling, the sampler chooses the representative to be part of the sample randomly, whereas in nonprobability sampling, the subject is chosen arbitrarily, to belong to the sample by the researcher. Major Issues. CENSUS . Discuss the eligibility criteria for sample selection. Sep 21, 2021 · Here are the types of probability and non-probability sampling in research. Quota Sampling - Free download as Powerpoint Presentation (.