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Quarter 1 Module 1

Quarter 1 Module 1
46問 • 2年前
  • CYCLONE 143
    • 通報

    問題一覧

  • 1

    Uses scientifically collected and statistically analyzed data to investigate observable phenomena

    Qualitative research

  • 2

    It is any existing or observable fact or situation that we want to unearth further or understand

    Phenomenon

  • 3

    Meaning of ANOVA

    Analysis of Variance

  • 4

    _____ are generally easier to collect than descriptions or phrases used in qualitative research.

    Numerical data

  • 5

    Characteristics of Quantitative Research

    1. Large sample size, 2. Objective, 3. Visual result presentation, 4. Faster data analysis, 5. Generalized data, 6. Fast data collection, 7. Reliable data, 8. Replication

  • 6

    To obtain more meaningful statistical result, the data must come from a _____

    Large sample size

  • 7

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

    Objective

  • 8

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

    Visual result presentation

  • 9

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

    Faster data analysis

  • 10

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

    Generalized data

  • 11

    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.

    Fast data collection

  • 12

    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 data

  • 13

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

    Replication

  • 14

    Strengths of Quantitative Research

    1. Quantitative research can be replicated or repeated., 2. Findings are generalizable to the population., 3. Conclusive establishment of cause and effect, 4. Numerical and quantifiable data can be used to predict outcomes, 5. Fast and easy data analysis using statistical software., 6. Fast and easy data gathering, 7. Very objective, 8. Validity and reliability can be established

  • 15

    Weaknesses of Quantitative Research

    1. It lacks the necessary data to explore a problem or concept in depth, 2. It does not provide comprehensive explanation of human experiences, 3. Some information cannot be described by numerical data such as feelings, and beliefs, 4. The research design is rigid and not very flexible., 5. The particpants are limited to choose only from the given responses, 6. The respondents may tend to provide inaccurate responses, 7. A Large sample size makes data collection more costly.

  • 16

    It is a broad spectrum that it can be classified into smaller and more specific kinds: descriptive, correlational, ex post facto, quasi-experimental, and experimental.

    Quantitative research

  • 17

    It is used to describe a particular phenomenon by observing it as it occurs in nature. There is no experimental manipulation and the researcher does not start with a hypothesis.

    Descriptive design

  • 18

    The goal of ______ research is only to describe the person or object of the study. An example of _____ is the determination of the different kinds of physical activities and how often high school students do it during the quarantine period."

    Descriptive design

  • 19

    Data is collected by observation since it does not consider the cause and effect for example, the relationship between the amount of physical activity done and student academic achievement.

    The correlational design

  • 20

    It identifies the relationship between variables

    The correlation design

  • 21

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

    Ex post facto design

  • 22

    The term "_____", means after the fact, looks at the possible causes of an already occurring phenomenon.

    Ex post facto

  • 23

    An example of this is "how does the parent's academic achievement affect the children obesity?"

    Ex post facto design

  • 24

    Kinds of Quantitative Research

    Descriptive design, The correlational design, Ex post facto design, A quasi-experimental design, Experimental design

  • 25

    It is used to establish the cause and effect relationship of variables. Although it resembles the experimental design, the _____ has lesser validity due to the absence of random selection and assignment of subjects.

    A quasi-experimental design

  • 26

    Here, the independent variable is identified but not manipulated. The researcher does not modify pre- existing groups of subjects.

    A quasi-experimental design

  • 27

    The group exposed to treatment (experimental) is compared to the group unexposed to treatment (control): example, the effects of unemployment on attitude towards following safety protocol in ECQ declared areas.

    A quasi-experimental design

  • 28

    It is like quasi- experimental is used to establish the cause and effect relationship of two or more variables.

    Experimental design

  • 29

    This design provides a more conclusive result because it uses random assignment of subjects and experimental manipulations. For example, a comparison of the effects of various blended learning to the reading comprehension of elementary pupils.

    Experimental design

  • 30

    It is anything that has a quantity or quality that varies

    Variable

  • 31

    It is also identified as the presumed cause

    Independent variable

  • 32

    It is also identified as the presumed effect

    Dependent variable

  • 33

    It is important to note other factors that may influence the outcome (dependent variable) which are not manipulated or pre-defined by the researcher. These factors are called _____

    Extraneous Variables

  • 34

    Internal validity

    Accurate conclusion

  • 35

    When the researcher fails to control the extraneous variable that it caused considerable effect to the outcome, the extraneous variable becomes a _____

    Confounding Variable

  • 36

    It is also called numerical variables are the type of variables used in quantitative research because they are numeric and can be measured. Under this category are discrete and continuous variables

    Quantitative Variables

  • 37

    These are countable whole numbers. It does not take negative values or values between fixed points. For example: number of students in a class, group size and frequency.

    Discrete variables

  • 38

    It take fractional (non-whole number) values that can either be a positive or a negative. Example: height, temperature.

    Continuous variables

  • 39

    Numerical data have two levels of measurement, namely :

    Interval, Ratio

  • 40

    These are quantitative variables where the _____ or differences between consecutive values are equal and meaningful but the numbers are arbitrary. For example, the difference between 36 degrees and 37 degrees is the same as between 100 degrees and 101 degrees. The zero point does not suggest the absence of a property being measured. Temperature at 0 degree Celsius is assigned as the melting point of ice. Other examples of _____ would be year and IQ score.

    Interval

  • 41

    This type of data is similar to interval, the only difference is the presence of a true zero value. The zero point in this scale indicates the absence of the quantity being measured Examples are age, height, weight and distance.

    Ratio

  • 42

    These are also referred to as Categorical Variables are not expressed in numbers but are descriptions or categories. It can be further divided into nominal, ordinal or dichotomous

    Qualitative Variables

  • 43

    Qualitative Variables

    Dichotomous, Nominal variable, Ordinal variable

  • 44

    These are consisting of only two distinct categories or values. For example, a response to a question either be a yes or no.

    Dichotomous

  • 45

    It simply defines groups of subjects. Here you may have more than 2 categories of equivalent magnitude. For example, a basketball player's number is used to distinguish him from other players. It certainly does not follow that player 10 is better than player 8. Other examples are blood type, hair color and mode of transportation

    Nominal variable

  • 46

    From the name itself denotes that a variable is ranked in a certain order. This variable can have a qualitative or quantitative attribute. For example, a survey questionnaire may have a numerical rating as choices like 1, 2, 3, 4, 5ranked accordingly (5-highest, 1-lowest) or categorical rating like strongly agree, agree, neutral, disagree and strongly disagree. Other examples or _____ : cancer stage (Stage 1, Stage II, Stage III). Spotify Top 20 hits, academic honors (with highest, with high, with honors).

    Ordinal variable

    • Cell

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    Quarter 1 Module 2

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    Quarter 1 Module 3

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    Quarter 1 Module 4

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    Quarter 1 Module 1

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    CYCLONE 143 · 43問 · 2年前

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    QUARTER 1 MODULE 1

    QUARTER 1 MODULE 1

    CYCLONE 143 · 28問 · 2年前

    QUARTER 1 MODULE 1

    QUARTER 1 MODULE 1

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    LESSON 1

    LESSON 1

    CYCLONE 143 · 49問 · 2年前

    LESSON 1

    LESSON 1

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    BATCH 1

    BATCH 1

    CYCLONE 143 · 50問 · 2年前

    BATCH 1

    BATCH 1

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    BATCH 2

    BATCH 2

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    BATCH 2

    BATCH 2

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    BATCH 3

    BATCH 3

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    BATCH 3

    BATCH 3

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    BATCH 4

    BATCH 4

    CYCLONE 143 · 59問 · 2年前

    BATCH 4

    BATCH 4

    59問 • 2年前
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    Quarter 1 Week 1 Lesson 1

    Quarter 1 Week 1 Lesson 1

    CYCLONE 143 · 28問 · 2年前

    Quarter 1 Week 1 Lesson 1

    Quarter 1 Week 1 Lesson 1

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    Quarter 1 Week 2 Lesson 2

    Quarter 1 Week 2 Lesson 2

    CYCLONE 143 · 33問 · 2年前

    Quarter 1 Week 2 Lesson 2

    Quarter 1 Week 2 Lesson 2

    33問 • 2年前
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    Quarter 1 Week 2 Lesson 3

    Quarter 1 Week 2 Lesson 3

    CYCLONE 143 · 35問 · 2年前

    Quarter 1 Week 2 Lesson 3

    Quarter 1 Week 2 Lesson 3

    35問 • 2年前
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    Quarter 1 Module 2

    Quarter 1 Module 2

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    Quarter 1 Module 2

    Quarter 1 Module 2

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    Quarter 1 Week 1

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    Quarter 1 Week 1

    Quarter 1 Week 1

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    Quarter 1 Week 2

    Quarter 1 Week 2

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    Quarter 1 Week 2

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    LESSON 2

    LESSON 2

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    LESSON 2

    LESSON 2

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    LESSON 2 WEEK 1

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    Determining the truthfulness of the following claim

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    QUARTER 1 WEEK 1

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    CYCLONE 143 · 43問 · 2年前

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    October 3

    October 3

    CYCLONE 143 · 20問 · 2年前

    October 3

    October 3

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    Quarter 1 Module 3

    Quarter 1 Module 3

    CYCLONE 143 · 25問 · 2年前

    Quarter 1 Module 3

    Quarter 1 Module 3

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    BATCH 5

    BATCH 5

    CYCLONE 143 · 32問 · 2年前

    BATCH 5

    BATCH 5

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    BATCH 1

    BATCH 1

    CYCLONE 143 · 10問 · 2年前

    BATCH 1

    BATCH 1

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    LESSON 4

    LESSON 4

    CYCLONE 143 · 11問 · 2年前

    LESSON 4

    LESSON 4

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    Quarter 1 Week 5 Lesson 7

    Quarter 1 Week 5 Lesson 7

    CYCLONE 143 · 16問 · 2年前

    Quarter 1 Week 5 Lesson 7

    Quarter 1 Week 5 Lesson 7

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    Cell

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    CYCLONE 143 · 166問 · 2年前

    Cell

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    CYCLONE 143

    問題一覧

  • 1

    Uses scientifically collected and statistically analyzed data to investigate observable phenomena

    Qualitative research

  • 2

    It is any existing or observable fact or situation that we want to unearth further or understand

    Phenomenon

  • 3

    Meaning of ANOVA

    Analysis of Variance

  • 4

    _____ are generally easier to collect than descriptions or phrases used in qualitative research.

    Numerical data

  • 5

    Characteristics of Quantitative Research

    1. Large sample size, 2. Objective, 3. Visual result presentation, 4. Faster data analysis, 5. Generalized data, 6. Fast data collection, 7. Reliable data, 8. Replication

  • 6

    To obtain more meaningful statistical result, the data must come from a _____

    Large sample size

  • 7

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

    Objective

  • 8

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

    Visual result presentation

  • 9

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

    Faster data analysis

  • 10

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

    Generalized data

  • 11

    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.

    Fast data collection

  • 12

    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 data

  • 13

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

    Replication

  • 14

    Strengths of Quantitative Research

    1. Quantitative research can be replicated or repeated., 2. Findings are generalizable to the population., 3. Conclusive establishment of cause and effect, 4. Numerical and quantifiable data can be used to predict outcomes, 5. Fast and easy data analysis using statistical software., 6. Fast and easy data gathering, 7. Very objective, 8. Validity and reliability can be established

  • 15

    Weaknesses of Quantitative Research

    1. It lacks the necessary data to explore a problem or concept in depth, 2. It does not provide comprehensive explanation of human experiences, 3. Some information cannot be described by numerical data such as feelings, and beliefs, 4. The research design is rigid and not very flexible., 5. The particpants are limited to choose only from the given responses, 6. The respondents may tend to provide inaccurate responses, 7. A Large sample size makes data collection more costly.

  • 16

    It is a broad spectrum that it can be classified into smaller and more specific kinds: descriptive, correlational, ex post facto, quasi-experimental, and experimental.

    Quantitative research

  • 17

    It is used to describe a particular phenomenon by observing it as it occurs in nature. There is no experimental manipulation and the researcher does not start with a hypothesis.

    Descriptive design

  • 18

    The goal of ______ research is only to describe the person or object of the study. An example of _____ is the determination of the different kinds of physical activities and how often high school students do it during the quarantine period."

    Descriptive design

  • 19

    Data is collected by observation since it does not consider the cause and effect for example, the relationship between the amount of physical activity done and student academic achievement.

    The correlational design

  • 20

    It identifies the relationship between variables

    The correlation design

  • 21

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

    Ex post facto design

  • 22

    The term "_____", means after the fact, looks at the possible causes of an already occurring phenomenon.

    Ex post facto

  • 23

    An example of this is "how does the parent's academic achievement affect the children obesity?"

    Ex post facto design

  • 24

    Kinds of Quantitative Research

    Descriptive design, The correlational design, Ex post facto design, A quasi-experimental design, Experimental design

  • 25

    It is used to establish the cause and effect relationship of variables. Although it resembles the experimental design, the _____ has lesser validity due to the absence of random selection and assignment of subjects.

    A quasi-experimental design

  • 26

    Here, the independent variable is identified but not manipulated. The researcher does not modify pre- existing groups of subjects.

    A quasi-experimental design

  • 27

    The group exposed to treatment (experimental) is compared to the group unexposed to treatment (control): example, the effects of unemployment on attitude towards following safety protocol in ECQ declared areas.

    A quasi-experimental design

  • 28

    It is like quasi- experimental is used to establish the cause and effect relationship of two or more variables.

    Experimental design

  • 29

    This design provides a more conclusive result because it uses random assignment of subjects and experimental manipulations. For example, a comparison of the effects of various blended learning to the reading comprehension of elementary pupils.

    Experimental design

  • 30

    It is anything that has a quantity or quality that varies

    Variable

  • 31

    It is also identified as the presumed cause

    Independent variable

  • 32

    It is also identified as the presumed effect

    Dependent variable

  • 33

    It is important to note other factors that may influence the outcome (dependent variable) which are not manipulated or pre-defined by the researcher. These factors are called _____

    Extraneous Variables

  • 34

    Internal validity

    Accurate conclusion

  • 35

    When the researcher fails to control the extraneous variable that it caused considerable effect to the outcome, the extraneous variable becomes a _____

    Confounding Variable

  • 36

    It is also called numerical variables are the type of variables used in quantitative research because they are numeric and can be measured. Under this category are discrete and continuous variables

    Quantitative Variables

  • 37

    These are countable whole numbers. It does not take negative values or values between fixed points. For example: number of students in a class, group size and frequency.

    Discrete variables

  • 38

    It take fractional (non-whole number) values that can either be a positive or a negative. Example: height, temperature.

    Continuous variables

  • 39

    Numerical data have two levels of measurement, namely :

    Interval, Ratio

  • 40

    These are quantitative variables where the _____ or differences between consecutive values are equal and meaningful but the numbers are arbitrary. For example, the difference between 36 degrees and 37 degrees is the same as between 100 degrees and 101 degrees. The zero point does not suggest the absence of a property being measured. Temperature at 0 degree Celsius is assigned as the melting point of ice. Other examples of _____ would be year and IQ score.

    Interval

  • 41

    This type of data is similar to interval, the only difference is the presence of a true zero value. The zero point in this scale indicates the absence of the quantity being measured Examples are age, height, weight and distance.

    Ratio

  • 42

    These are also referred to as Categorical Variables are not expressed in numbers but are descriptions or categories. It can be further divided into nominal, ordinal or dichotomous

    Qualitative Variables

  • 43

    Qualitative Variables

    Dichotomous, Nominal variable, Ordinal variable

  • 44

    These are consisting of only two distinct categories or values. For example, a response to a question either be a yes or no.

    Dichotomous

  • 45

    It simply defines groups of subjects. Here you may have more than 2 categories of equivalent magnitude. For example, a basketball player's number is used to distinguish him from other players. It certainly does not follow that player 10 is better than player 8. Other examples are blood type, hair color and mode of transportation

    Nominal variable

  • 46

    From the name itself denotes that a variable is ranked in a certain order. This variable can have a qualitative or quantitative attribute. For example, a survey questionnaire may have a numerical rating as choices like 1, 2, 3, 4, 5ranked accordingly (5-highest, 1-lowest) or categorical rating like strongly agree, agree, neutral, disagree and strongly disagree. Other examples or _____ : cancer stage (Stage 1, Stage II, Stage III). Spotify Top 20 hits, academic honors (with highest, with high, with honors).

    Ordinal variable