Data Collection Basics and Sampling Methods Vocabulary

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/31

flashcard set

Earn XP

Description and Tags

Comprehensive vocabulary flashcards covering basic statistical terms, data classification, sampling methods, sources of bias, and experimental design based on the lecture material.

Last updated 7:45 PM on 10/4/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

32 Terms

1
New cards

Population

The group that collected data in a study is intended to describe.

2
New cards

Target Population

The intended population of a study, so named because a poorly designed study may collect data that is not actually representative of it.

3
New cards

Parameter

A value (average, percentage, etc.) calculated using all the data from a population.

4
New cards

Census

A survey of an entire population.

5
New cards

Sample

A smaller subset of the entire population, ideally one that is fairly representative of the whole population.

6
New cards

Statistic

A value (average, percentage, etc.) calculated using the data from a sample.

7
New cards

Categorical (Qualitative) Data

Pieces of information that allow us to classify the objects under investigation into various categories.

8
New cards

Quantitative Data

Responses that are numerical in nature and with which we can perform meaningful arithmetic calculations.

9
New cards

Sampling Bias

A condition where a sampling method does not give every member of the population an equal likelihood of being selected for the sample.

10
New cards

Simple Random Sample

A sample in which every member of the population and any group of members has an equal probability of being chosen.

11
New cards

Sampling Variability

The natural variation among samples, which is expected and unavoidable in random sampling.

12
New cards

Stratified Sampling

A sampling method in which a population is divided into subgroups (strata) and random samples are taken from each subgroup with sample sizes proportional to the subgroup's size in the population.

13
New cards

Quota Sampling

A variation on stratified sampling wherein samples are collected in each subgroup until the desired quota is met.

14
New cards

Cluster Sampling

A sampling method in which the population is divided into subgroups (clusters), and a set of entire subgroups are selected to be in the sample.

15
New cards

Systematic Sampling

A sampling method in which every nthn^{\text{th}} member of the population is selected to be in the sample.

16
New cards

Convenience Sampling

The practice of choosing samples by selecting whoever is convenient.

17
New cards

Voluntary Response Sampling

A sampling practice where participants are allowed to volunteer to be part of the sample.

18
New cards

Voluntary Response Bias

The sampling bias that often occurs when data is collected only from individuals who volunteer to participate.

19
New cards

Self-Interest Study

Bias that can occur when the researchers conducting the study have a personal or financial interest in the outcome.

20
New cards

Response Bias

Bias that occurs when a responder gives inaccurate responses for any reason.

21
New cards

Perceived Lack of Anonymity

Bias occurring when a responder fears that giving an honest answer might negatively affect them.

22
New cards

Loaded Questions

Questions whose wording sways or influences participant responses.

23
New cards

Non-Response Bias

Bias introduced when individuals refusing to participate in a study influence the validity of the outcome.

24
New cards

Observational Study

A study based strictly on observations or measurements without applying a treatment.

25
New cards

Experiment

A study in which the effects of an applied treatment are measured.

26
New cards

Confounding

A situation in an experiment where it is not clear which factor caused the observed effect because multiple variables could have produced the result.

27
New cards

Control Group

A group of participants in an experiment that does not receive the treatment being tested, serving as a baseline.

28
New cards

Placebo Effect

The phenomenon where the effectiveness of a treatment is influenced by the patient's perception of how effective they expect it to be.

29
New cards

Placebo

A dummy treatment given to control for the placebo effect.

30
New cards

Placebo Controlled Experiment

An experiment that provides the control group with a placebo.

31
New cards

Blind Study

A study in which the participant does not know whether they are receiving the active treatment or a placebo.

32
New cards

Double-Blind Study

A study in which neither the participants nor those interacting with them know who is assigned to the treatment group or the control group.