PR EXAM Flashcards

1
Q

It refers to a collection of individuals who share one or more noteworthy traits that are of interest to the researcher.

A

POPULATION

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2
Q

may be all the individuals belonging to a specific category or a narrower subset within that larger group.​

A

POPULATION

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3
Q

It is a small portion of the population selected for observation and analysis.​

A

SAMPLE

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4
Q

It is the procedure of getting a small portion of the population for research.​

A

SAMPLING

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5
Q

It refers to the extent your findings can be applied in other contexts.​

A

GENERALIZIBILITY

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6
Q

4 ways to determine sample size

A

HEURISTICS
LITERATURE REVIEW
FORMULAS
POWER ANALYSIS

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7
Q

The rule of thumb for the sample size used in a study.​

A

HEREUSTICS

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8
Q

You may read studies similar to yours and check the sample size they used.​

A

LITERATURE REVIEW

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9
Q

*refer to the formula provided in the book​

A

FORMULA

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10
Q

Considered the most precise and is founded on the principle of statistical power.​

A

POWER ANALYSIS

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11
Q

advantage of sampling first three

A

SAVES TIME MONEY EFORT
YIELDS BETTER OUTCOMES
FASTER LESS EXPENSIVE COST EFFECTIVE

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12
Q

advantage of sampling last ttwo

A

MORE ACCURATE
PROVIDES MORE COMPREHENSIVE INFORMATION

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13
Q

The formula is ideal for big populations. A margin of error of 5% is considered acceptable.​

A

SLOVINS FORMULA

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14
Q

slovins equation

A

N/( 1 + NE2)

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15
Q

Every member of the population has a probability of being selected or included in the sample.​

A

PROBABILITY SAMPLING

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16
Q

All members of the population have an equal chance at being chosen as part of the sample.​

A

SIMPLE RANDOM SAMPLING

17
Q

The population is split into different groups. People from each group will be randomly chosen to represent the whole population.​

A

STRATIFIED RANDOM SAMPLING

18
Q

The sample is drawn by randomly selecting a starting number and then selecting every nth unit in arbitrary order until the desired sample size is reached.​

A

SYSTEMATIC RANDOM SAMPLING

19
Q

Districts or blocks of a municipality or a city which are part of the cluster are randomly selected.​

A

CLUSTER/AREA SAMPLING

20
Q

Participants are intentionally selected based on certain identified factors.​

A

NON PROBABILITY SAMPLING

21
Q

Participants are chosen for their convenience and availability, rather than through a random or systematic selection process.​

A

CONVENIENCE SAMPLING

22
Q

Individuals with specialized knowledge or expertise in a particular field are selected to participate in a study. ​

A

EXPERT SAMPLING

23
Q

Participants are selected based on pre-defined quotas to represent specific characteristics or subgroups.​

A

QUOTA SAMPLING

24
Q

Participants are chosen based on referrals or recommendations from existing participants.​

A

SNOWBALL SAMPLING

25
Informs readers what information is included in the research and explains why the author chose that information.​
SCOPE AND DELIMITATION
26
It is the research project and the study limitations set in place to define the boundaries of the project
RANGE AND PARAMETER
27
delimitations and scope includes>
FACTS AND THEORIES
28
first three covergae of scope in terms of :
GENERAL PURPOSE POPUATION/SAMPLE TIME DURATION
29
last twocoverage of scope in terms of :
SUBJECTS MATTERS AND TOPICS DISCUSSED AREA OR LOCALITY
30
Influences that the researchers cannot control
LIMITATIONS
31
limitations is the researchs
SHORTCOMINGS/WEAKNESS
32
could include time, funding access, equipment, data, or participants, and even research design​
LIMITATIONS
33
Similar to limitations but focus on the scope of research aims and questions
DELIMITATION
34
Reflect intentional choices made by the researcher regarding what to include or exclude in the study
DELIMITATION
35
prediction/ educated guess
HYPOTHESIS
36
can be proven true or false
FALSIFIABLE
37
hypothesis can be used for?
EXPERIMENTAL CORRELATIONAL QUASIEXPERIMENTAL
38
2 types of hypothesis
NULL ALTERNATIVE
39
sub type of Alternative hypothesis
DIRECTIONAL NON DIRECTIONAL