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  • 問題数 29 • 9/25/2023

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    問題一覧

  • 1

    in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way

    Variable

  • 2

    are any characteristics that can take on different values, such as height, age, temperature, or test scores.

    Variable

  • 3

    2 Basic Types of Variables

    Independent and dependent variables

  • 4

    are those that cause changes in the subject. It is the variable that is systematically manipulated by the researcher.

    Independent variables

  • 5

    those that bear or manifest the effects caused by the independent variables.

    Dependent variables

  • 6

    are those that do not undergo any changes during

    Constant variables

  • 7

    In an experiment, to test the effect of SUNLIGHT on plants, other factors that affect plant growth and health, such as soil quality and watering, would need to remain constant

    Constant variables

  • 8

    are variables that are not intentionally intended for studying (not included in the study) but affects the results

    extraneous variables

  • 9

    You are a researcher, and you tested if sleep deprivation would affect the performance of your student’s exam scores. You instructed your student to sleep only for 2 hours and check the next day his performance. You are expecting the student to fail the test, but this student still got 100% score

    Extraneous variables

  • 10

    Affects how the independent variable acts on the dependent variable.

    Confounding variables

  • 11

    is anything that could influence the dependent variable

    Extraneous variables

  • 12

    influences the dependent variable and correlates with or causally affects the independent variable.

    Confounding variables

  • 13

    You are a researcher, and you tested if summer season would affect the ice cream sales in you barangay. You found out that summer did not in anyway affected ice cream sales

    Confounding variables

  • 14

    characteristics of people like intelligence, creativity, anxiety, learning styles, etc

    Attribute variables

  • 15

    It is a variable that cannot be manipulated

    Attribute variables

  • 16

    Examples are gender, race, psychological condition, and or any characteristic that is inherent or pre-programmed and cannot be

    Attribute variables

  • 17

    are quantitative or numeric variable obtained by counting. They are measured as whole units. These are countable in a finite amount.

    Discrete variables

  • 18

    ●For example, you can count the change in your pocket. You can count the money in your bank account, everything —that’s still countable.

    Discrete variables

  • 19

    Is a variable which we would (literally) take forever to count. In fact, you would get to “forever” and never finish counting them

    Continuous variables

  • 20

    For example, take age. You can’t count “age”. Why not? Because it would literally take forever. For example, you could be: 25 years, 10 months, 2 days, 5 hours, 4 seconds, 4 milliseconds, 8 nanoseconds, 99 picosends…and so on.

    Continuous variables

  • 21

    - are those included in the research study to create interactions with the independent and dependent variables

    Covariates variables

  • 22

    - are those included in the research study to create interactions with the independent and dependent variables

    Covariates variables

  • 23

    has only two possible results; one or zero

    Dichotomous variables

  • 24

    Heads or Tails. Male or Female. Rich or Poor. Democrat or Republican. Pass or Fail. Under age 65

    Dichotomous variables

  • 25

    Cannot be directly measured or observed like personality traits. The presence of latent variables, however, can be detected by their effects on variables that are observable. Most constructs in research are latent variables.

    Latent variables

  • 26

    can be directly measured or observed to give proofs to latent variables.

    manifest variables

  • 27

    Those that characterize or describe the quality of data (also known as qualitative variable). ● It is a variable that isn’t numerical. It describes data that fits into categories.

    Categorical variables

  • 28

    Eye colors (variables include: blue, green, brown, hazel). 2.States (variables include: Florida, New Jersey, Washington). 3.Dog breeds (variables include: Alaskan Malamute

    Categorical variables

  • 29

    also known as qualitative variable

    Categorical variables