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50 Cards in this Set
- Front
- Back
Sampling Design |
detailed strategy for selecting a sample from a certain population. |
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Data Analysis |
methodical application of logical and/or statistical approaches to describe and demonstrate, summarize and assess, and assess data. |
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Data Gathering |
The researcher must assess the research question and decide on the best data collection process. |
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Data Collection |
Researchers have identified a methodology for this, which can be done through various methods such as surveys, interviews, observations, focus groups, measurements, or questionnaires. |
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Cleaning Up The Data |
Researchers analyze data and identify errors, which are crucial for accurate research determination. |
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Data Analysis |
The most crucial part of any research. It is an illustrative method of applying the right statistical or logical technique so that the raw data makes sense. |
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Interpretation |
This is imperative to the research. Data is interpreted based on the findings and conclusions or actions are decided. |
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Visualization |
Data is then graphically shown in charts, maps, or graphs. Thematic analysis is used in qualitative research to compare relationships and data sets, providing insight into the conclusions drawn from the data. |
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Sampling Design Sample Size Collection Tools Field Survey |
Data Collection Processes |
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Survey Design |
Is the process of creating surveys with the goal ofreceiving maximum insights from the survey research |
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Identifying the Topic |
Survey design involves planning the entire survey project, outliningsteps from goal formulation to results interpretation. |
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Considering the Local Context |
A specific geographical location with its own unique combination ofsocial, economic, environmental, cultural, and political dynamics ata particular point in time. |
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Research Question and Objectives |
The research aim emphasizes the objectives to be achieved within thescope of the study, requiring the study's data to be utilized effectively. |
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Target Population |
Clear definition of the eligible group for data analysis is crucial forselecting the appropriate sampling frame or design, as it influences thesampling approach, practicality, and sample size. |
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Time Line |
Is a plan that shows how you will conduct your research project, fromthe initial idea to the final report |
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Open-ended Inquiries |
are those that provide responders a prompt for thequestion and a blank place to write their own response. |
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Close-ended questions |
on the other hand, present a question promptand ask responders to select from a range of possible answers |
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Scoring |
is a manner of interpreting data to achieve the analysis ofsurvey results which are a frequent tool of measuring customersatisfaction |
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Demographic Questions |
include age, gender, education level,employment status, annual household income, marital and familystatus, housing, business, and farm ownership |
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Survey Format |
refers to the way your survey displays to people andhow they interact with it. |
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Informed Consent |
Any participation in a research study is completely voluntary. You arefree to decline to participate for any reason. |
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Cover Letters |
purpose, reason to complete survey, time to complete, when it shouldbe returned, where to obtain results if interested |
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Pilot Testing |
Prior to carrying out an actual experiment, a small-scale study iscarried out to test and improve procedures |
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Data Collection Plan |
Is a methodical way of gathering data that can helpidentify the core cause as well as baseline data. |
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Survey Instrument |
questionnaires used as primary datasources and household record cards used to collect information on arespondent's household members. |
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Data Collection Plan |
helps to ensure that data collected during an analysisor improvement project is useful and appropriately collected. |
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Variables |
are any characteristics that can take on different values, such asheight, age, temperature, or test scores. |
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Summary for Subgroups |
a type of analysis done by breaking down study samples into subsets ofparticipants based on a shared characteristic |
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Independent Variable |
is the variable you manipulate or vary in an experimental study to explore its effects. |
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Dependent Variable |
thevariable that changes as a resultof the independent variablemanipulation. |
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Primary Data |
are the original data derived from your research endeavors. Secondary data are data derived fromyour primary data. |
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Cross-Sectional Study |
is a type of research design in which you collect data from many differentindividuals at a single point in time |
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Time Series Analysis |
helps organizations understand theunderlying causes of trends or systemic patterns over time. |
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Nominal Ordinal Interval Ratio |
Levels of Measurement |
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Probabilistic Sampling |
equal chance of being chosen |
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Stratified Sampling |
a method of sampling that involves the divisionof a population into smaller subgroups known as strata. |
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Simple Random Sampling |
a type of probability sampling in which theresearcher randomly selects a subset of participants from a population. |
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Systematic Sampling |
A probability sampling method whereresearchers select members of the population at a regular interval |
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Cluster Sampling |
a probability sampling method in which you dividea population into clusters, such as districts or schools, and thenrandomly select some of these clusters as your sample. |
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Snowball Sampling |
where existing study subjects recruit futuresubjects from among their acquaintances. |
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Convenience Sampling |
a non-probability sampling method whereunits are selected for inclusion in the sample because they are theeasiest for the researcher to access. |
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Purposive Sampling |
in which the sample members arechosen only on the basis of the researcher's knowledge and judgment. |
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Quota Sampling |
relies on the non-random selection of apredetermined number or proportion of units. |
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Multi-Staged Sampling |
This method is often used to collect data from alarge, geographically spread group of people in national surveys. |
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Chi-square Test of Independence |
checks whether two variables are likely tobe related or not. |
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Correlation Test |
check if the variables are related without hypothesizing acause-and-effect relationship |
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Independent Samples T-test |
used to compare two sample means fromunrelated groups |
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Paired Sample T-test |
compares the means of twomeasurements taken from the same individual, object, orrelated units |
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Analysis of Variance (ANOVA) |
a statistical formulaused to compare variances across the means (or average)of different groups. A range of scenarios use it todetermine if there is any difference between the meansof different groups |
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Multiple Regression |
a statistical technique that canbe used to analyse the relationship between a singledependent variable and several independent variables. |