Multistage Sampling Overview

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Questions and Answers

Match the following terms with their definitions related to sampling:

Sampling frame = A listing of the units from which the sample selection is made First-stage unit = The primary unit selected in multi-stage sampling Stratification = Division of a population into homogeneous subgroups Variance = A measure of the dispersion of a set of values

Match the following sampling types with their characteristics:

Stratified sampling = Combines advantages of both stratification and multi-stage sampling Multi-stage sampling = Selecting units in stages, often using clusters Probability proportional to size = Sampling technique that adjusts selection based on population size Simple random sampling = Every unit has an equal chance of being selected

Match the following concepts with their outcomes in sampling efficiency:

Homogeneity within strata = Increased efficiency and reduced variance Heterogeneity between strata = Allows for better representation of variances Auxiliary information = Facilitates specialized sampling techniques Small sample size from strata = Can lead to effective representation of population

Match the following statistical terms with their applications:

Mean = The average of a set of values Cluster sampling = Used for efficiency in large populations Estimation techniques = Methods to infer population parameters from sample statistics Demographic information = Auxiliary data used in specialized sampling Signup and view all the answers

Match the following sampling steps with their roles:

Identifying the population = Establishes the scope of study Creating the sampling frame = Ensures accurate representation of the population Selecting sampling units = Obtains the actual subjects for study Applying estimation techniques = Derives parameters from sample data Signup and view all the answers

Match the following statistical measures with their descriptions:

Population mean = Average value across a complete population Variance in sampling = Indicates the spread of sample data Stratum = A subset of the population for stratified sampling Cluster = A group of subunits identified for sampling purposes Signup and view all the answers

Match the following processes with their significance in research:

Multi-stage sampling = Enhances cost efficiency in large studies Stratification = Improves sample quality through organized groupings Preparation of sampling frames = Critical for valid sampling methods Application of probability sampling = Ensures impartial selection of units Signup and view all the answers

Match the survey components with their descriptions:

Objectives = Clearly specified goals for the survey Sampling Plan = Design outlining selection and estimation procedures Timeliness = How soon results are needed after data collection Selection Process = Choice of design after assessing survey objectives Signup and view all the answers

Match the following sampling designs with their advantages:

Stratified multi-stage sampling = Combines costs and efficiency benefits Cluster sampling = Simplifies the logistics of data collection Simple random sampling = Reduces bias in selection Systematic sampling = Easier implementation with fixed intervals Signup and view all the answers

Match the elements of survey design with their importance:

Level of Accuracy = Specification of tolerable errors Population Definition = Identification of who will be studied Desired Information = Clear statistical terms for data collection Breakdowns = Categories for tabulating results Signup and view all the answers

Match the characteristics of data to their descriptions:

Reliability = Consistency of results over time Validity = Accuracy in measuring what it intends to measure Cost-effectiveness = Meeting specifications at the lowest expense Geographic Coverage = Scope of the area included in the survey Signup and view all the answers

Match the types of estimates with their significance:

Descriptive Statistics = Summarizing data features Inferential Statistics = Making predictions based on a sample Point Estimates = Single value estimate of a population parameter Interval Estimates = Range of values within which a parameter lies Signup and view all the answers

Match the considerations for survey design with their actions:

Assessment of Objectives = Evaluate initial goals Identification of Variables = Determine what will be measured Cost Restrictions = Budget limitations on data collection User Requirements = Understand data application needs Signup and view all the answers

Match the types of surveys with their examples:

Cross-Sectional Survey = Snapshot of a population at a point in time Longitudinal Survey = Data collected over multiple time periods Descriptive Survey = General information about a population Experimental Survey = Testing hypotheses in controlled conditions Signup and view all the answers

Match the stages of survey development with their focus:

Preliminary Investigation = Establishing groundwork for the survey Design Phase = Planning methodology and logistics Data Collection = Gathering information from participants Data Analysis = Interpreting collected information Signup and view all the answers

Match the aspects of survey planning with their relevance:

Stakeholder Input = Gaining insights from experts involved Variable Selection = Determining what data to collect Survey Coverage = Defining the geographic and demographic scope Cost Considerations = Balancing budget with survey objectives Signup and view all the answers

Match the disadvantages with their respective response types:

Closed response = Respondent cannot guess answers Open-ended response = Much irrelevant information collected Signup and view all the answers

Match the advantages with their respective response types:

Open-ended response = Encourages creativity and self-expression Closed response = Simplifies response categorization Signup and view all the answers

Match the characteristics with their respective response types:

Closed response = More prone to enumerator error Open-ended response = Permits exploration of unanticipated findings Signup and view all the answers

Match the issues with their respective response types:

Closed response = Less detectable misunderstandings Open-ended response = Coding responses presents challenges Signup and view all the answers

Match the examples of questions with response types:

Closed response = How often do you exercise? Open-ended response = Describe your ideal vacation Signup and view all the answers

Match the terms with their definitions:

Open-ended questions = Unstructured and allow free-form answers Closed questions = Limit responses to specific categories Qualitative data = Rich detail and context from responses Quantitative data = Standardized responses for analysis Signup and view all the answers

Match the potential outcomes with the response types:

Closed response = Risk of inaccurate categorization due to enumerator error Open-ended response = Opportunity for unexpected insights Signup and view all the answers

Match the type of question with its definition:

Open-ended question = Responses are unrestricted and provide freedom of expression Closed-ended question = Respondent chooses from a predetermined list of responses Dichotomous question = Respondent selects from two possible responses Multiple-choice question = Respondent can choose one or more options from the list Signup and view all the answers

Match the type of multiple-choice question with its characteristic:

Single coded question = Only one response can be selected Multi-coded question = Allows the selection of multiple applicable responses Dichotomous question = Options limited to yes or no Closed-response category = Responses are limited to predefined selections Signup and view all the answers

Match the advantages with the key terms:

Open-ended response = Facilitates self-expression Closed response = Reduces the cognitive load on respondents Signup and view all the answers

Match the closed-ended question example with its description:

Do you have a bank account? = A question with binary options: yes or no How many children have you ever borne? = A ranged response categorized by numbers Which type of soft drink(s) does your household consume? = Allows selection from multiple specified brands What is your age group? = Categorical options presented for age ranges Signup and view all the answers

Match the advantage of closed-response categories with its benefit:

Easier and quicker for respondents = Respondents can complete surveys faster Standardized answers for comparison = Facilitates comparative analysis among responses Easier coding and statistical analysis = Streamlines data processing and interpretation Greater clarity of question meaning = Enhances understanding through defined response options Signup and view all the answers

Match the type of question to its example:

Dichotomous question = Do you prefer coffee or tea? Single coded question = Choose your favorite season: Spring, Summer, Fall, Winter Multi-coded question = Select all languages you speak: English, Spanish, French, Others Open-ended question = What are your thoughts on climate change? Signup and view all the answers

Match the term with its corresponding definition:

Closed-ended question = A question limiting answers to specific options Predetermined list = A set of possible responses defined before the survey Mark alongside a category = A method of indicating responses in surveys Sensitive topics = Subjects that may elicit discomfort in respondents Signup and view all the answers

Match the type of survey question with its context:

Dichotomous question = Used in surveys to gauge binary opinions Single coded question = Commonly used in demographic surveys Multi-coded question = Ideal for understanding preferences among several options Closed-ended question = Often used in market research for quantitative data Signup and view all the answers

Match the characteristic of closed response categories with its benefit:

Easier for coding = Facilitates statistical analysis of results Standardization = Allows uniform comparison of data Comprehensive answers = Ensures all relevant categories are addressed Sensitivity handling = Encourages truthful responses to delicate subjects Signup and view all the answers

Match the sampling unit stages with their respective terminologies:

Districts = Primary Sampling Units (PSUs) EA (kebeles) = Secondary Sampling Units (SSUs) Housing units = Ultimate Sampling Units (USUs) Woredas = Primary Sampling Units (PSUs) Signup and view all the answers

Match the types of sampling frames with their descriptions:

Area frames = Units labelled as county, district, or village List frames = Frame made up of a list of target population units Master sample frames = A stable framework for selecting sub-samples over time Clustered frames = Used when a good population frame for USUs is unavailable Signup and view all the answers

Match the desirable properties of sampling frames with their categories:

Minimizing coverage error = Quality Related Properties Recognized boundaries on maps = Quality Related Properties Cost-effectiveness = Cost Related Properties Unique numerical identifiers = Quality Related Properties Signup and view all the answers

Match the terms related to sampling frames with their correct definitions:

PSUs = First stage of sampling used to cover the entire population SSUs = Intermediate units in a multistage design USUs = Final units that are sampled in a survey Area sampling frame = Frame with units defined by geographical areas Signup and view all the answers

Match the type of error with its related property in sampling frames:

Non-sampling errors = Coverage errors due to deficiencies in the frame Efficiency properties = Related to the cost of sample selection Quality properties = Minimizing errors and ensuring well-defined units Cost properties = Impact of frame construction on overall survey costs Signup and view all the answers

Match the primary identifier functions with their descriptions:

Unique numerical identifiers = Primary means of identification for frame units Secondary identifiers = Additional identifiers like names and addresses Well-defined units = Ensures that boundaries are clearly delineated Adequate identification = Refers to necessary identification for effective sampling Signup and view all the answers

Match the stages in a three-stage sampling design with their examples:

PSUs = Districts or Woredas SSUs = EA or Kebeles USUs = Individual households or housing units Final stage sampling = Defined sampling units for survey implementation Signup and view all the answers

Match the following sampling frame types with their features:

Clustered frames = Used when there's not a good population frame List frames = Contains a straightforward list of population units Master sample frames = Designed for long-term survey stability Area frames = Divided into geographical units like counties and villages Signup and view all the answers

Match the following questionnaire layouts with their descriptions:

Verbatim listing = Complete wording and progression instructions Specific order listing = Questions in a specific order without full wording Tabular format = Coded responses in a row and column Checklist of topics = Key facts without structured answers Signup and view all the answers

Match the following types of problematic question writing with their descriptions:

Leading questions = Encourage a biased response Multiple questions = Combine distinct questions into one Ambiguous questions = Open to interpretation and confusion Sensitive topics = Topics that may embarrass respondents Signup and view all the answers

Match the following principles of question phrasing with their objectives:

Clear meaning = Ensure uniform interpretation among respondents Simple language = Facilitate understanding in respondents' terms Neutral presentation = Avoid bias in respondent answers Avoiding ambiguity = Prevent confusion and misinterpretation Signup and view all the answers

Match the following characteristics of sensitive questions with their implications:

Apt to irritate = Might provoke negative reactions Normative answers = Responses that conform to societal rules Cultural taboo = Questions avoided in certain cultures Personal discomfort = May cause feelings of embarrassment Signup and view all the answers

Match the following elements of effective questionnaire design with their purposes:

Logical order = Facilitate natural progression for respondents Clear instructions = Guide respondents effectively through the form Specific wording = Reduce misunderstanding of questions Consistent phrasing = Ensure comparable answers across respondents Signup and view all the answers

Match the following types of questions with their potential issues:

Sensitive questions = Risk normative responses Leading questions = Bias respondent choices Multiple-barreled questions = Create confusion in responses Ambiguous questions = Cause varied interpretations Signup and view all the answers

Match the following aspects of question design with their definitions:

Choice of reference period = Determining the timeframe for responses Sequence of questions = Order in which questions are presented Response format = Structure of how respondents answer Topic sensitivity = Degree of personal nature in questions Signup and view all the answers

Match the following guidelines for questionnaire design with their appropriate focus:

Question clarity = Ensuring questions can be interpreted uniformly Respondent comfort = Minimizing irritability in sensitive topics Logical sequencing = Facilitating smoother response flow Language simplicity = Ensuring comprehension among diverse respondents Signup and view all the answers

Study Notes