Elementary survey sampling Scheaffer, Richard L.

Elementary survey sampling / Scheaffer, Richard L.

Applied survey sampling / Blair, Edward, 1923- author.

Audit sampling : an introduction / Guy, Dan M.

Matched sampling for causal effects / Rubin, Donald B.

Introduction to Statistical Sampling in auditing Guy, Dan M

An introduction to statistical sampling in auditing / Guy, Dan M.

Power-efficient high-speed parallel-sampling ADCs for broadband multi-carrier systems / Lin, Yu

Sampling essentials : practical guidelines for making sampling choices / Daniel, Johnnie.

Field sampling : principles and practices in environmental analysis / Conklin, Alfred R.

Then is now : sampling from the past for today's graphics, a handbook for contemporary design /

Introduction to distance sampling : estimating abundance of biological populations / Buckland, S. T

action research -- The quantitative research process -- Surveys and the use of questionnaires -- Sampling

: Research Ethics -- Chapter 4: Identifying Scientific Variables -- Chapter 5: Sampling From Populations

Questionnaire -- Chapter 10: Sampling in Quantitative, Qualitative, and Mixed Methods Research -- Chapter 11

: probability and sampling -- Making statistical inferences -- Statistical models for prediction and planning

Research -- Conceptualization and Measurement -- Sampling -- Causation and Research Design -- Experimental

-- Negotiating Access to Research Sites and Participants – Sampling -- Qualitative Data Collection Part I

-- Preliminary engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue

Sampling ; Stratified Random Sampling ; Cluster Sampling ; Nonprobability Sampling ; Convenience Sampling

The research context -- Sampling -- Descriptive statistics -- Correlational statistics

Sampling (Statistics)

, acknowledging the steps in planning a study, designing studies with increasing complexity, planning sampling

-- Measurement of attitude -- Sampling design -- Secondary data -- Survey research -- Questionnaire

typologies -- The logic of sampling -- Part 3. Modes of observation -- Experiments -- Survey research

literature review -- Conceptualisation -- Constructing arguments in research -- Sampling -- Quantitative data

(computerized information systems) -- New technologies -- Audit sampling and other relevant testing methods

questionnaires -- Sampling -- Statistical analysis I: Descriptive statistics -- Statistical analysis II

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

Overview -- 4.1 Introduction -- 4.2 Universalism -- 4.3 Sampling and generalisation -- 4.4

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

-- Sampling and sampling distributions -- Interval estimation -- Hypothesis Testing -- Comparisons involving

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

styles of research -- The participants: sampling and ethics -- Methods of collecting data -- Analysing

, Qualitative, and Mixed Research ; How to Construct a Questionnaire ; Sampling in Quantitative, Qualitative

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

uncertainty: research design -- Chapter 9: Measurements and uncertainty Chapter 10: Sampling and

-- 2.Sampling -- 3.Collecting Quantitative Data -- 4.Quantitative Data Analysis -- 5.Quality and Rigour

introduction -- Research methodology and design -- Understanding populations and sampling -- Writing the

. 6. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE. 7. Sampling and Sampling

: Acceptance Sampling -- 11. Aggregate Planning and Master Scheduling -- 12. MRP and ERP -- 13. Inventory

Note continued: Sampling To Develop Norms -- Types of Norms -- Fixed Reference Group Scoring

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

) -- New technologies -- Audit sampling and other relevant testing methods -- The auditor and internal

-Train Sampling -- 6.1.2.Sampling with a Zero-Order Hold -- 6.1.3.Quantization and Coding -- 6.2.Classification of

. Probability -- 4. Random variables and probability distributions -- 5. Sampling distributions -- 6. Inferences

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

-- Quantitative research methodology: sampling messages and people -- Quantitative research methodology: survey

Distributions -- 6. Continuous Probability Distributions -- 7. Sampling and Sampling Distributions -- 8

-- Conceptualization, operationalization, and measurement -- Indexes, scales, and typologies -- The logic of sampling

process -- Surveys and the use of questionnaires -- Sampling -- Statistical analysis I: Descriptive

-- Part IV: SAMPLING AND STATISTICAL THEORY -- 12. Sampling designs and sampling procedures -- 13. Big

-sectional study and introduction to sampling -- Applied analytic approaches -- Confounding and interaction

typologies ; The logic of sampling -- Modes of operation : quantitative and qualitative: Experiments ; Survey

qualitative measurement instruments -- pt. 5. Sampling and surveys -- Surveys -- Sampling : quantitative and

: Starting to work in Adobe Photoshop ; Using the tools ; Sampling a color ; Working with tools and tool

; Ornament ; Frames and borders ; Sampling ; Parody ; Vernacular ; Vintage ephemera -- Communicate a message

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

Sampling -- Application 4.2 Examples of Nonprobability Sampling -- Beyond Description -- Practice 4.3

Selection and Random Assignment -- Systematic Sampling -- Stratified Sampling -- Cluster Sampling

interview -- Handling sampling and recruiting : selecting participants for online interviews -- Addressing

-- Reliability and validity -- Effective measurement -- Sampling -- Experiments and threats to validity -- Survey

-- Randomized controlled trials for psychosocial interventions / Phyllis Solomon and Mary Cavanaugh -- Sampling

Sequential and Emergence-Driven Sampling Strategies and Options -- Module 37 Analytically Focused Sampling

funded grant applications using mixed methods -- Assessing quality in mixed methods studies -- Sampling

-- Theoretical sampling -- Context -- Process -- Techniques for achieving theoretical integration -- The use of

problems, aims, questions and hypotheses -- 8. Sampling -- 9. Understanding data collection techniques

models -- 5. Inferential statistics: confidence intervals, hypothesis testing, and sampling -- 6

research designs / Laura F. Salazar, Richard A. Crosby, and Ralph J. DiClemente -- Principles of sampling

-- Chapter 7: Sampling and Collecting Data in a Mixed Methods Action Research Study -- Chapter 8: Analyzing

Overview -- Transforming variables -- Selecting and sampling cases -- Organization and presentation

: sampling and couponing -- Consumer sales promotion: premiums and other promotions -- pt. 5. Other IMC tools

-- Using The Performance Explorer -- Configuring A Sampling Session -- Configuring An Instrumentation

-- The concept of sampling -- Sampling terminology -- Principles of sampling -- Factors affecting the

research design -- Qualitative and quantitative measurement -- Qualitative and quantitative sampling

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

engagement activities and planning -- Materiality, risk and fraud -- Audit sampling -- The revenue and

) -- Probability and probability distributions (events management) -- Sampling and tests of hypotheses (car

-- Appendix C Sampling and Sample Sizes -- Appendix D Null Hypothesis, Statistical Decision Making, and

. Indexes, scales, and typologies -- 7. The logic of sampling -- 8. Experiments -- 9. Survey research -- 10

Key Terms -- 4. Literature Reviews -- 5. Measurement -- 6. Sampling -- 7. Analysis -- 8. Ethics -- 9

research -- Research ethics and philosophies -- Conceptualization and measurement -- Sampling -- Causation

inferential statistics: sampling distributions and population parameter estimation -- Bivariate hypothesis

-- Designs for quantitative evaluation -- Approaches to qualitative evaluation -- Sampling for evaluation

-- Sampling distributions -- Decision theory -- Point estimation -- Interval estimation -- Hypothesis testing

Analysis -- 4. Measurement -- 5. Sampling -- 6. Reliability -- 7. Validity -- 8. Data Analysis -- 9

Sampling (Statistics)

Construct a Questionnaire -- Methods of Data Collection -- Sampling in Quantitative, Qualitative, and Mixed

-- Learning Objectives -- Introduction -- Introduction to Sampling -- The Sampling Process -- Define the

Sampling (Statistics)

-- 8.Research Design: Mixed Methods -- 9.Sampling Strategies -- 10.Designing Descriptive and Analytical

-- Planning interview studies -- Sampling: How many and who to interview? -- Conclusion -- Key points

assertions: substantive testing -- Audit sampling and computer assisted auditing techniques (CAATs

evaluations -- Choosing designs for effect evaluations -- Sampling designs and data sources for effect

-- Convenience Sampling -- Purposive or Judgmental Sampling -- Quota Sampling -- Network or Snowball Sampling

of global business and economics. You'll get an introduction on sampling and graphs, and discover how

management : introduction -- "Threatened" and "sensitive" species and habitats -- Sampling and recording

? -- 3. Measuring, sampling and error -- 4. Questionnaires -- 5. The studies -- 6. Descriptive statistics

Introduction -- Sampling and measurement -- Descriptive statistics -- Probability distributions

-- Random Sampling and Data Description -- Sampling Distributions and Point Estimation of Parameters

methodological quality (Part 1-Research design and sampling) -- Searching and screening: methodological quality

Statistical Sampling -- Six Sigma -- How Is Six Sigma Quality Control Unique? -- Six Sigma and

literature review -- Conceptualisation -- Constructing arguments in research -- Sampling -- Quantitative data

: Data gathering methods -- 9. Sampling -- 10. Surveys and questionnaires -- 11. Interviews and focus

research findings -- Section 2: Quantitative research techniques. Collecting quantitative data: sampling

-- Sampling and reconstruction of signals -- The discrete Fourier transform: its properties and application

-- SECTION C: CAUSAL RESEARCH -- CHAPTER 13 Experimentation -- SECTION D: SAMPLING -- CHAPTER 14 Sampling

-- 4.1.Sampling and Statistics -- 4.1.1.Histogram Estimates of pmfs and pdfs -- 4.2.Confidence

Overview -- Transforming Variables -- Selecting and Sampling Cases -- Organization and Presentation

Marketing Effectiveness -- 12 Questionnaire Design -- 13 Basic Sampling Issues -- 14 Sample Size

-- Getting it together: some practical concersn -- Sampling -- Survey design: environmental control

Approaches -- Purposeful Sampling Strategy -- Participants in the Sample -- Types of Sampling -- Sample Size

-- 6. Sampling -- 7. Recording/ coding -- 8. Data languages -- 9. Analytical constructs -- Pt III

-- Exercises -- 7.Sampling from Populations and Processes -- 7.1.Introduction -- 7.2.Sampling from Populations

.Implementation of a Particle Filter -- 9.6.2.Implementation of an Auxiliary Sampling/Importance Resampling (ASIR

Research Designs -- 9.Sampling -- 10.Statistical Data Analysis -- 11.Data Display: Tables, Graphs, Maps

properties of air pollutants -- Sampling and analysis for health assessments -- Visibility, climate and the

-- Regression -- Observational Methods -- Box 4.2 The Experience Sampling Method -- Summary -- Exercises -- 5

/ Heather Waterman -- pt. III Quantitative Methods and Health -- 9.Health Research Sampling Methods / Martin

the research the research proposal sampling research ethics methods including case studies, surveys

.Measurement -- 7.Primary Data Collection -- 8.Designing the Data-gathering Instrument -- 9.Sampling Methods

/Organizational Psychology / Robert P. Gephart, Jr. -- ch. 10 Experience Sampling Methodology / Timothy A. Judge

Assignment" versus "Random Sampling^^^^^

; Variability ; Probability and theoretical distributions ; The standard normal distribution ; The sampling

"Good Test"? -- Reliability -- Validity -- Other Considerations -- Norms -- Sampling To Develop Norms

-differentiable terminal conditions -- Importance sampling method -- Statistical romberg method -- Problems -- Stochastic

methods; Appendix A. Shannon sampling theorem; Appendix B. Solution of Laplace's equation in spherical

Take a random sampling of managers and executives and you will inevitably encounter the good, the

Ores -- Sampling and estimation.

-- Sources of Sampling Error: Sampling Bias and Plain Bad Luck -- A Sampling Distribution -- Types of

Contents note continued: Sampling and Theoretical Sampling -- Analysis -- Designs Using More Than

discussion -- 7.Additional random sampling and policy simulations -- 8.Concluding remarks -- 17.Modelling

Introduction -- Spatial autocorrelation -- Spatial sampling -- Spatial composition and

Representativeness -- Chapter 4. Using Large Data Sets with Probability Sampling Frameworks: Debunking the Myth of

estimation and sampling -- 14.2.4.Default Probabilities for Credit Derivatives -- 15.Parameter Calibration

research -- 3. Ethical and scientific guidelines for social work research -- 4. Measurement -- 5. Sampling

-- 19 Consumer Sales Promotion: Sampling and Couponing -- 20 Consumer Sales Promotion: Premiums and

-- Project monitoring and evaluation -- Research planning and design -- Sampling -- Data Collection: Basic

-- Part 2 Data collection -- 3. Secondary data -- 4. Primary data -- 5. Sampling -- 6. Questionnaires and

definition -- 12. Measurement: Scaling, reliability, validity -- 13. Sampling -- 14. Quantitative data

reading -- 5.Sampling distributions and estimating -- Overview -- Learning objectives -- 5.1.Introduction

. Mathematical Expectation -- Ch. 4. Special Probability Distributions -- Ch. 5. Sampling Theory -- Ch. 6

-- 7. Methods of sampling - Sumaya Laher and Anja Botha --8. Survey research - Melody Mentz -- 9

assessment, work sampling systems, and observation skills. Readers will walk away with strategies for

and Measurement 5. Sampling 6. Causation and Research Design 7. Survey Research 8. Qualitative Methods

' question / Eric M. Uslaner -- pt. II Qualitative Research -- 8.Access and non-probability sampling in

: measurement -- Research design : making causal inferences -- Sampling -- Making empirical observations

frame -- Choosing the sample: random probability sampling -- Sampling error -- How you ask: interview

DNA searches -- Forensic DNA phenotyping -- Surreptitious biological sampling -- Exonerations : when

, ordinal, or continuous; satisfying assumptions; sampling; and the source of variability in the population

Huguet, Shayna D. Cunningham, and Jason T. Newsom -- Weighting and complex sampling design adjustments in

material on Web surveys along with more information on data analysis and sampling theory for qualitative

-- The Nature of Samples -- Probability Sampling -- Sampling Methods -- Nonprobability Sampling

Confidence Intervals -- 4.1.Random Sampling -- 4.2.Sampling Distributions -- 4.2.1.Sampling Distribution of

loop -- 3.3.Weights -- Frequency weights -- Analytic weights -- Sampling weights -- 3.4.Exercises -- 4

causal inferences -- Sampling -- Making empirical observations: direct and indirect observation