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Practical Research (Lesson 1)
  • Precious Mendez

  • 問題数 48 • 9/30/2023

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    問題一覧

  • 1

    To obtain more meaningful statistical result, the data must come from a large sample size.

    Large Sample Size

  • 2

    The determination of the different kinds of physical activities and how often high school students do it during the quarantine period.

    Descriptive

  • 3

    Data is numerical, which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation.

    Visula Result Presentation

  • 4

    How does the parent’s academic achievement affect the children obesity?

    Ex post facto

  • 5

    What does the researcher use to allow the researcher to collect data from a large sample size efficiently.

    Standardized research

  • 6

    why does quasi experimental has a lesser validity

    It is because of the absence of the random selection and assignment of subject

  • 7

    Why is quantitative research scientific

    It is scientific to the fact that it uses scientific method to gather and collect data

  • 8

    Characteristics of quantitative research

    Large Sample Size, Objective, Visual Result Presentation, Faster Data Analysis, Generalized Data, Fast Data Collection, Reliable and Replication

  • 9

    Conclusive establishment of cause and effect

    Strength

  • 10

    Example of statistical analysis

    Pearsons r, r test, annalysis of variance (ANOVA)

  • 11

    Numerical and quantifiable data can be used to predict outcomes

    Strength

  • 12

    Example of rating scale

    Likert Scale

  • 13

    Quantitative Research can be replicated or repeated

    Strength

  • 14

    It does not provide comprehensive explanation of human experiences

    Weakness

  • 15

    Meaning of ex post facto

    After the fact

  • 16

    Is used to describe a particular phenomenon by observing it as it occurs in nature.

    Descriptive quantitative research

  • 17

    Some information cannot be described by numerical data such as feelings, and beliefs

    Weakness

  • 18

    The independent variable is identified but not manipulated

    Quasi Experiemental Design

  • 19

    There is no experimental manipulation and the researcher does not start with a hypothesis.

    Descriptive

  • 20

    The use of a statistical tools give way for a less time- consuming data analysis.

    Faster Data Analysis

  • 21

    Why is data in correlational design collected by observation

    Because it does not consider cause and effect

  • 22

    The research design is rigid and not very flexible

    Weakness

  • 23

    Data is taken and analyzed objectively from a sample as a representative of the population, making it more credible and reliable for policymaking and decision making.

    Reliable

  • 24

    Validity and reliability can be established

    Strength

  • 25

    There is no experimental manipulation in this design.

    Descriptive, Correlational and Ex-post facto design

  • 26

    Very objective

    Strength

  • 27

    Findings are generalizable to the population

    Strength

  • 28

    What are the kinds of quantitative research

    Descriptive, correlational, ex-post facto, quasi experimental and experimental

  • 29

    What would be the next once data is collected

    It will undergo to statiscal analysis

  • 30

    Is any existing or observable fact or situation that we want to unearth further or understand.

    Phenomenon

  • 31

    Identifies the relationship between variables.

    Correlational design

  • 32

    The goal of this research is only to describe the person or object of the study.

    Descriptive

  • 33

    The participant are limited to choose only from the given responses

    Weakness

  • 34

    Therelationship between the amount of physical activity done and student academic achievement.

    Correlational Design

  • 35

    Fast and easy data analysis using statistical software

    Strenth

  • 36

    Used to establish the cause and effect of an variable

    Quasi Experimental Design

  • 37

    The group exposed to treatment (experimental) are compared to the group unexposed to treatment (control)

    Quasi Experimental Design

  • 38

    looks at a possible causes of an already occurring phenomenon

    Ex post facto

  • 39

    A large sample size makes data colleection more costly

    Weakness

  • 40

    Depending on the type of data needed, collection can be quick and easy. Quantitative research uses standardized research instruments that allow the researcher to collect data from a large sample size efficiently. For instance, a single survey form can be administered simultaneously to collect various measurable characteristics like age, gender, socio-economic status, etc.

    Faster Data Collection

  • 41

    It lacks the necessary data to explore a proble or concept in depth

    Weakness

  • 42

    Uses scientifically collected and statistically analyzed data to investigate observable phenomena.

    Quantitative Research

  • 43

    Data taken from a sample can be applied to the population if sampling is done accordingly, i.e., sufficient size and random samples were taken.

    Generalized Data

  • 44

    Used to established cause and effect relationship of two or more variables

    Experimental Design

  • 45

    Data gathering and analysis of results are done accurately, objectively, and are unaffected by the researcher’s intuition and personal guesses.

    Objective

  • 46

    is used to investigate a possible relationship between previous events and present conditions.

    Ex post facto design

  • 47

    Provides a more conclusive result because it uses random assignment of two or more variables

    Experiemental Design

  • 48

    The Quantitative method can be repeated to verify findings enhancing its validity, free from false or immature conclusions.

    Relication