Understanding Populations & Samples

Slides:



Advertisements
Similar presentations
Research Methodology For reader assistance, have an introductory paragraph in which attention is given to the organization of the section in relation to.
Advertisements

Research Methods in Crime and Justice
Sampling Plans.
SOWK 6003 Social Work Research Week 8 Sampling By Dr. Paul Wong.
sampling Dr Majed El-Farra
Beginning the Research Design
Sampling Prepared by Dr. Manal Moussa. Sampling Prepared by Dr. Manal Moussa.
11 Populations and Samples.
SAMPLING Chapter 7. DESIGNING A SAMPLING STRATEGY The major interest in sampling has to do with the generalizability of a research study’s findings Sampling.
Chapter 5 Copyright © Allyn & Bacon 2008 This multimedia product and its contents are protected under copyright law. The following are prohibited by law:
Sampling Concepts Population: Population refers to any group of people or objects that form the subject of study in a particular survey and are similar.
CHAPTER 7, the logic of sampling
Sampling Designs and Sampling Procedures
Copyright c 2001 The McGraw-Hill Companies, Inc.1 Chapter 7 Sampling, Significance Levels, and Hypothesis Testing Three scientific traditions critical.
Sample Design.
Copyright © 2008 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 13 Developing a Sampling Plan.
Sampling for Research. Types of Research Quantitative – the collection & analysis of data to describe, explain, predict, or control phenomena of interest.
Sampling January 9, Cardinal Rule of Sampling Never sample on the dependent variable! –Example: if you are interested in studying factors that lead.
1 Copyright © 2011 by Saunders, an imprint of Elsevier Inc. Chapter 9 Examining Populations and Samples in Research.
CHAPTER 12 – SAMPLING DESIGNS AND SAMPLING PROCEDURES Zikmund & Babin Essentials of Marketing Research – 5 th Edition © 2013 Cengage Learning. All Rights.
Sampling Methods in Quantitative and Qualitative Research
SAMPLING.
1 Hair, Babin, Money & Samouel, Essentials of Business Research, Wiley, Learning Objectives: 1.Understand the key principles in sampling. 2.Appreciate.
Sampling “Sampling is the process of choosing sample which is a group of people, items and objects. That are taken from population for measurement and.
Population and sample. Population: are complete sets of people or objects or events that posses some common characteristic of interest to the researcher.
Lecture 9 Prof. Development and Research Lecturer: R. Milyankova
SAMPLING. Basic Concepts Population: is the entire aggregation of cases that meet a designated set of criteria Population: is the entire aggregation of.
Unit 8 Populations and Samples. What is a Sample? Sample = small subset of a population. Populations are the things that possess specific attributes –
Research Design ED 592A Fall Research Concepts 1. Quantitative vs. Qualitative & Mixed Methods 2. Sampling 3. Instrumentation 4. Validity and Reliability.
McMillan Educational Research: Fundamentals for the Consumer, 6e © 2012 Pearson Education, Inc. All rights reserved. Educational Research: Fundamentals.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 7 Sampling, Significance Levels, and Hypothesis Testing Three scientific traditions.
Handbook for Health Care Research, Second Edition Chapter 7 © 2010 Jones and Bartlett Publishers, LLC CHAPTER 7 Designing the Experiment.
Donna B. Konradi, DNS, RN, CNE GERO 586 Populations and Samples.
CHAPTER 7, THE LOGIC OF SAMPLING. Chapter Outline  A Brief History of Sampling  Nonprobability Sampling  The Theory and Logic of Probability Sampling.
Copyright © 2011, 2005, 1998, 1993 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 13: Boundary Setting in Experimental-Type Designs A deductive.
Sampling Design A population: is the entire aggregation of cases that meets a designated set of criteria.  Eligibility criteria (delimitation): the criteria.
Sampling Concepts Nursing Research. Population  Population the group you are ultimately interested in knowing more about “entire aggregation of cases.
Population vs Sample Population = The full set of cases Sample = A portion of population The need to sample: More practical Budget constraint Time constraint.
CRITICALLY APPRAISING EVIDENCE Lisa Broughton, PhD, RN, CCRN.
Institute of Professional Studies School of Research and Graduate Studies Selecting Samples and Negotiating Access Lecture Eight.
Populations and Samples Nursing 200W Chapter 9. Objectives Define population, sample and sampling. Define population, sample and sampling. Distinguish.
Understanding Populations & Samples
Statistics & Evidence-Based Practice
Measurement & Data Collection
The Pennsylvania state university college of nursing Nursing 200w
ThiQar college of Medicine Family & Community medicine dept
Logic of Sampling Cornel Hart February 2007.
Session Six Jeff Driskell, MSW, PhD
Chapter 14 Sampling PowerPoint presentation developed by:
2a. WHO of RESEARCH Quantitative Research
Logic of Sampling (Babbie, E. & Mouton, J The Practice of Social Research. Cape Town:Oxford). C Hart February 2007.
Sampling Procedures Cs 12
Graduate School of Business Leadership
Population, Samples, and Sampling Descriptions
Population and samples
Sampling And Sampling Methods.
Questions: Are behavioral measures less valid and less reliable due to the amount of error that can occur during the tests compared to the other measures?
Meeting-6 SAMPLING DESIGN
Sampling Techniques & Samples Types
Chapter 2 Sociological Research Methods
Principles of Experiment
Welcome.
Section 5.1 Designing Samples
What is Correlational Research?
Sampling Designs and Sampling Procedures
BUSINESS MARKET RESEARCH
Sampling Chapter 6.
Data Collection and Sampling Techniques
NON -PROBABILITY SAMPLING
Presentation transcript:

Understanding Populations & Samples The Pennsylvania state university college of nursing Nursing 200w

What is a Sample? Defines the selected group of people or elements from which data are collected for a study.

What are concepts related to sampling? Selecting a group of people, events, behaviors, or other elements with which to conduct a study The sampling plan identifies the sampling method and defines the selection process Members of the sample can be called the subjects or participants.

What is considered the population? A particular group of individuals or elements who are the focus of the research Elements are the individual units of the population or sample

What are the components of a population? Target Population An entire set of individuals or elements who meet the sampling criteria Accessible Population The portion of the target population to which the researcher has reasonable access

What is generalization? Extending the findings from the sample under study to the larger population The extent is influenced by the quality of the study and consistency of the study’s findings.

Check Your Understanding: Question Sampling in research may be defined as: Insurance that each person has a chance of being included in the study. Establishment of criteria for eligibility to participate in a study. Identification of the population in which the researcher is interested. Selection of a subset of a population to represent the whole population.

Check Your Understanding: Answer ANSWER: D Sampling involves selecting a group of people, events, behaviors, or other elements with which to conduct a study.

What are inclusion criteria? Characteristics that the subject or element must possess to be part of the target population Examples: Between the ages of 18 and 45 Ability to speak English Admitted for gallbladder surgery Diagnosed with diabetes within past month

What are exclusion criteria? Characteristics that can cause a person or element to be excluded from the target population Examples: Diagnosis of mental illness Less than 18 years of age Diagnosis of cognitive dysfunction Unable to read or speak English

What are two ways to define sampling criteria? Homogeneous As similar as possible so that extraneous variables can be controlled Heterogeneous Broad, diverse range used when a narrow focus is not wanted

What is an inappropriate generalization? Samples cannot be generalized beyond their sampling criteria. This means that results cannot be inferred to populations that differ from the sample. This may lead to inappropriate generalizations: Because of language or reading ability To other types of illnesses or injuries

Check Your Understanding: Question Subjects who participate in a study of patients with inflammatory bowel disease are described as the: Accessible population. Element. Sample. Target population.

Check Your Understanding: Answer ANSWER: C A sample is that group of people who are representing the entire population and participating in the study. Samples are expected to represent an entire population. The accessible population is that portion of the entire population that the researcher can actually use. An element is an individual unit of a study population. The target population is the entire set of individuals who meet the sampling criteria.

What is a sampling error? Difference between the population mean and the mean of the sample Random variation is: The expected difference in values that occurs when different subjects from the same sample are examined Difference is random because some values will be higher and others lower than the average population values

What types of sampling errors can occur? Systematic variation or bias Consequence of selecting subjects whose measurement values differ in some specific way from those of the population These values do not vary randomly around the population mean.

What is the difference between random and systematic variations? Random variation is the expected difference in values that occurs when different subjects from same sample are examined Systematic variation or systematic bias is the consequence of selecting subjects whose measurement values differ in some way from those of the population

What is attrition and retention in reference to research samples? Sample attrition is the withdrawal or loss of subjects from a study Attrition rate = number of subjects withdrawing ÷ number of study subjects × 100 Sample retention is the number of subjects who remain in and complete a study

Sampling Frame and Sampling Plan Sampling frame: A listing of every member of the population, using the sampling criteria to define membership in the population Subjects are selected from the sampling frame Sampling plan: Outlines strategies used to obtain a sample for a study Probability sampling plans Nonprobability sampling plans

What is random sampling? Increases the representativeness of the sample based on the target population A control group is used in studies with random sampling A comparison group is not randomly determined

Types of Probability Sampling Simple random sampling Stratified random sampling Cluster sampling Systematic sampling

What determines sample size in quantitative research? Effect size Type of quantitative study conducted Number of variables Measurement sensitivity Data analysis techniques

What is effect size? The effect is the presence of the phenomenon being studied. The effect size is the extent to which the null hypothesis is false. When the effect size is large (large variation between groups), only a small sample is needed. Increasing the sample size increases the effect size.

How do you determine the number of variables? As the number of variables increases, the sample size may increase. The inclusion of multiple dependent variables also increases the sample size needed.

What is measurement sensitivity? The reliability and validity of the tool used to measure the variable of interest As the variance in the instrument scores increases, the sample size needed to obtain significance increases.

Check Your Understanding: Question The population from which the researcher selects the actual study sample is referred to as the: Accessible population. Scientific population. Target population. Theoretical population.

Check Your Understanding: Answer ANSWER: A The accessible population is the portion of the target population to which the researcher has reasonable access. The sample is obtained from the accessible population. Scientific population is not a correct term. The target population is the entire set of individuals who meet the sampling criteria. The theoretical population is the same as the target population, which is the entire set of individuals who meet the sampling criteria.

What is involved in critically appraising a study sample? Identifying the following: Elements Accessible population Target population Evaluating the: Appropriateness of generalizations or conclusions in quantitative studies based on the population of interest, sample used, and findings

Appraising the Sample Identify the sample criteria. Judge the appropriateness of the sampling criteria. Identify the sampling method.

What is nonprobability sampling? Used in qualitative research and includes the following types of samples: Purposive sampling Network or snowball sampling Theoretical sampling

Purposive Sampling Also called judgmental or selective sampling Efforts are made to include typical or atypical subjects. Sampling is based on the researcher’s judgment.

Network or Snowball Sampling Also called snowball sampling Takes advantage of social networks to get the sample One person in the sample asks another to join the sample, and so on.

Theoretical Sampling Used in grounded theory research Data are gathered from any individual or group that can provide relevant data for theory generation. The sample is saturated when the data collection is complete based on the researchers’ expectations. Diversity in the sample is encouraged.

How is sample size determined in qualitative research? Scope of the study Nature of the topic Quality of the data Study design

How is the sample adequacy determined in qualitative studies? Are the sampling inclusion and exclusion criteria appropriate? Is the sampling plan adequate to address the purpose of the study? Is the sample size adequate? What are the refusal and mortality rates?

How is the sample adequacy determined in qualitative studies? Are sample characteristics and quality described? Is there saturation of the data? Is the setting defined?

Questions? Comments? The end!