暗記メーカー

Quarter 1 Module 1

Quarter 1 Module 1

43問 • 2年前

問題一覧

1

It is a systematic investigation of observable phenomena where the researcher gathers quantitative or numerical data and subjects them to statistical methods

Quantitative research according to (Barrot, 2017)

2

It is an objective, systematic empirical investigation of observable phenomena through the use of computational techniques

Quantitative research according to (Fattado et. al, 2016)

3

Characteristics of quantitative research

1. Objective, 2. Precise, 3. Large sample size, 4. Quantifiable, 5. Statistical tools, 6. Generalizability, 7. Structured research instruments, 8. Replication

4

It seeks accurate measurement and analysis of target concepts

Objective

5

Research questions are well- defined for which objective answers are sought

Precise

6

The data collected is numeric, allowing for collection of data from a large sample size

Large sample size

7

Numerical results can be displayed in graphs, charts, tables, and other formats that allow for better interpretation

Quantifiable

8

Data analysis is less time - consuming and can often be done using statistical software

Statistical tools

9

Results can be generalized if the data are based on random samples and the dample size was sufficient

Generalizability

10

Data collection methods can be relatively quick, depending on the type of data being collected

Structured research instruments

11

It can be repeated to verify or confirm the correctness of the results in another setting

Replication

12

Kinds of quantitative research aprroaches/ designs

1. Descriptive, 2. Correlational design, 3. Quasi - Experimental Design, 4. Experimental Designs

13

Seeks to describe the nature, characteristics, and components of a variable or phenomenon in a given sample using quantifiable descriptors

Descriptive Design

14

Explores the relarionship between identified variables using statistical analyses

Correlational Design

15

Quasi - Experimental Design Often reffered to as _____

Casual - Comparative

16

Seeks to establish a cause - effect relationship between two or more variables

Quasi Experimental Design

17

The researcher does not assign groups and does not manipulate the independent variable

Quasi Experimental Design

18

Control groups are identified and exposed to the variable. Results are compared with results from groups not exposed to the variable

Quasi Experimental Design

19

Experimental Designs often called _____

True experimentation

20

Use the scientific method to establish cause - effect relationship among a group of variables in a research study.

Experimental Designs

21

Researchers make an effort to control for all variables except the one being manipulated (the independent variable).

Experimental Designs

22

Since it provides numerical data, it cannot be easily misinterpreted

Strengths of quantitative research

23

It can be replicated or repeated in another context

Strengths of quantitative research

24

It provides findings that are generalizabe to a large population

Strengths of quantitative research

25

It can establish causality more conclusively

Strengths of quantitative research

26

It can make predictionsbased on numerical, quantifiable data

Strengths of quantitative research

27

Data analysis using statistical software is faster

Strengths of quantitavie research

28

Data gathering techniques are less demanding

Strengths of quantitative research

29

Its reliability and validity can be measured

Strengths of quantitative research

30

It has low degree subjectivity

Strengths of quantitative research

31

Its reliability and validity can be measured

Strengths of quantitative research

32

It is costly since it requires a large number of respondents

Weaknesses of quantitative research

33

It cannot adequately provide in-depth information necessary for describing and explaining a complex phenomenon.

Weaknesses of quantitative research

34

It has less flexibility in terms of study design.

Weaknesses of quantitative research

35

Self-reported data may not be accurate.

Weaknesses of quantitative research

36

Numerical data may be insufficient in analyzing intangible factors such as gender roles.

Weaknesses of quantitative research

37

WEAKNESSES OF QUANTITIVE RESEARCH

1. It is costly since it requires a large number of respondents., 2. It cannot adequately provide in-depth information necessary for describing and explaining a complex phenomenon., 3. It has less flexibility in terms of study design., 4. Self-reported data may not be accurate., 5. Numerical data may be insufficient in analyzing intangible factors such as gender roles.

38

STRENGTHS OF QUANTITATIVE RESEARCH

1. Since it provides numerical data, it cannot be easily misinterpreted., 2. It can be replicated or repeated in another context., 3. It provides findings that are generalizable to a large population., 4. It can establish causality more conclusively., 5. It can make predictions based on numerical, quantifiable data., 6. Data analysis using statistical software is faster., 7. Data gathering techniques are less demanding., 8. It has low degree of subjectivity., 9. Its reliability and validity can be measured.

39

It is not based on mere intuitions and guesses.

Objective

40

Data are in form of numbers and statistics.

Quantifiable

41

It can be repeated to verify or confirm the correctness of the results in another setting.

Replication

42

Data are gathered using controlled/fixed research tools.

Structured

43

The research questions are well-defined for which objective answers are sought.

Precise

Cell

Cell

CYCLONE 143 · 166問 · 2年前

Cell

Cell

166問 • 2年前

Quarter 1 Module 1

Quarter 1 Module 1

CYCLONE 143 · 46問 · 2年前

Quarter 1 Module 1

Quarter 1 Module 1

46問 • 2年前

Quarter 1 Module 1

Quarter 1 Module 1

CYCLONE 143 · 81問 · 2年前

Quarter 1 Module 1

Quarter 1 Module 1

81問 • 2年前

Quarter 1 Module 1

Quarter 1 Module 1

CYCLONE 143 · 30問 · 2年前

Quarter 1 Module 1

Quarter 1 Module 1

30問 • 2年前

Quarter 1 Module 2

Quarter 1 Module 2

CYCLONE 143 · 68問 · 2年前

Quarter 1 Module 2

Quarter 1 Module 2

68問 • 2年前

Quarter 1 Module 3

Quarter 1 Module 3

CYCLONE 143 · 49問 · 2年前

Quarter 1 Module 3

Quarter 1 Module 3

49問 • 2年前

Quarter 1 Module 4

Quarter 1 Module 4

CYCLONE 143 · 54問 · 2年前

Quarter 1 Module 4

Quarter 1 Module 4

54問 • 2年前

QUARTER 1 MODULE 1

QUARTER 1 MODULE 1

CYCLONE 143 · 28問 · 2年前

QUARTER 1 MODULE 1

QUARTER 1 MODULE 1

28問 • 2年前

LESSON 1

LESSON 1

CYCLONE 143 · 49問 · 2年前

LESSON 1

LESSON 1

49問 • 2年前

BATCH 1

BATCH 1

CYCLONE 143 · 50問 · 2年前

BATCH 1

BATCH 1

50問 • 2年前

BATCH 2

BATCH 2

CYCLONE 143 · 50問 · 2年前

BATCH 2

BATCH 2

50問 • 2年前

BATCH 3

BATCH 3

CYCLONE 143 · 50問 · 2年前

BATCH 3

BATCH 3

50問 • 2年前

BATCH 4

BATCH 4

CYCLONE 143 · 59問 · 2年前

BATCH 4

BATCH 4

59問 • 2年前

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

28問 • 2年前

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

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

Quarter 1 Module 2

Quarter 1 Module 2

CYCLONE 143 · 28問 · 2年前

Quarter 1 Module 2

Quarter 1 Module 2

28問 • 2年前

Quarter 1 Week 1

Quarter 1 Week 1

CYCLONE 143 · 16問 · 2年前

Quarter 1 Week 1

Quarter 1 Week 1

16問 • 2年前

Quarter 1 Week 2

Quarter 1 Week 2

CYCLONE 143 · 39問 · 2年前

Quarter 1 Week 2

Quarter 1 Week 2

39問 • 2年前

LESSON 2

LESSON 2

CYCLONE 143 · 32問 · 2年前

LESSON 2

LESSON 2

32問 • 2年前

LESSON 2 WEEK 1

LESSON 2 WEEK 1

CYCLONE 143 · 63問 · 2年前

LESSON 2 WEEK 1

LESSON 2 WEEK 1

63問 • 2年前

Determining the truthfulness of the following claim

Determining the truthfulness of the following claim

CYCLONE 143 · 20問 · 2年前

Determining the truthfulness of the following claim

Determining the truthfulness of the following claim

20問 • 2年前

Tuklasin Natin Week 3 Lesson 4

Tuklasin Natin Week 3 Lesson 4

CYCLONE 143 · 5問 · 2年前

Tuklasin Natin Week 3 Lesson 4

Tuklasin Natin Week 3 Lesson 4

5問 • 2年前

QUARTER 1 WEEK 1

QUARTER 1 WEEK 1

CYCLONE 143 · 43問 · 2年前

QUARTER 1 WEEK 1

QUARTER 1 WEEK 1

43問 • 2年前

October 3

October 3

CYCLONE 143 · 20問 · 2年前

October 3

October 3

20問 • 2年前

Quarter 1 Module 3

Quarter 1 Module 3

CYCLONE 143 · 25問 · 2年前

Quarter 1 Module 3

Quarter 1 Module 3

25問 • 2年前

BATCH 5

BATCH 5

CYCLONE 143 · 32問 · 2年前

BATCH 5

BATCH 5

32問 • 2年前

BATCH 1

BATCH 1

CYCLONE 143 · 10問 · 2年前

BATCH 1

BATCH 1

10問 • 2年前

LESSON 4

LESSON 4

CYCLONE 143 · 11問 · 2年前

LESSON 4

LESSON 4

11問 • 2年前

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

16問 • 2年前

Cell

Cell

CYCLONE 143 · 166問 · 2年前

Cell

Cell

166問 • 2年前

問題一覧

1

It is a systematic investigation of observable phenomena where the researcher gathers quantitative or numerical data and subjects them to statistical methods

Quantitative research according to (Barrot, 2017)

2

It is an objective, systematic empirical investigation of observable phenomena through the use of computational techniques

Quantitative research according to (Fattado et. al, 2016)

3

Characteristics of quantitative research

1. Objective, 2. Precise, 3. Large sample size, 4. Quantifiable, 5. Statistical tools, 6. Generalizability, 7. Structured research instruments, 8. Replication

4

It seeks accurate measurement and analysis of target concepts

Objective

5

Research questions are well- defined for which objective answers are sought

Precise

6

The data collected is numeric, allowing for collection of data from a large sample size

Large sample size

7

Numerical results can be displayed in graphs, charts, tables, and other formats that allow for better interpretation

Quantifiable

8

Data analysis is less time - consuming and can often be done using statistical software

Statistical tools

9

Results can be generalized if the data are based on random samples and the dample size was sufficient

Generalizability

10

Data collection methods can be relatively quick, depending on the type of data being collected

Structured research instruments

11

It can be repeated to verify or confirm the correctness of the results in another setting

Replication

12

Kinds of quantitative research aprroaches/ designs

1. Descriptive, 2. Correlational design, 3. Quasi - Experimental Design, 4. Experimental Designs

13

Seeks to describe the nature, characteristics, and components of a variable or phenomenon in a given sample using quantifiable descriptors

Descriptive Design

14

Explores the relarionship between identified variables using statistical analyses

Correlational Design

15

Quasi - Experimental Design Often reffered to as _____

Casual - Comparative

16

Seeks to establish a cause - effect relationship between two or more variables

Quasi Experimental Design

17

The researcher does not assign groups and does not manipulate the independent variable

Quasi Experimental Design

18

Control groups are identified and exposed to the variable. Results are compared with results from groups not exposed to the variable

Quasi Experimental Design

19

Experimental Designs often called _____

True experimentation

20

Use the scientific method to establish cause - effect relationship among a group of variables in a research study.

Experimental Designs

21

Researchers make an effort to control for all variables except the one being manipulated (the independent variable).

Experimental Designs

22

Since it provides numerical data, it cannot be easily misinterpreted

Strengths of quantitative research

23

It can be replicated or repeated in another context

Strengths of quantitative research

24

It provides findings that are generalizabe to a large population

Strengths of quantitative research

25

It can establish causality more conclusively

Strengths of quantitative research

26

It can make predictionsbased on numerical, quantifiable data

Strengths of quantitative research

27

Data analysis using statistical software is faster

Strengths of quantitavie research

28

Data gathering techniques are less demanding

Strengths of quantitative research

29

Its reliability and validity can be measured

Strengths of quantitative research

30

It has low degree subjectivity

Strengths of quantitative research

31

Its reliability and validity can be measured

Strengths of quantitative research

32

It is costly since it requires a large number of respondents

Weaknesses of quantitative research

33

It cannot adequately provide in-depth information necessary for describing and explaining a complex phenomenon.

Weaknesses of quantitative research

34

It has less flexibility in terms of study design.

Weaknesses of quantitative research

35

Self-reported data may not be accurate.

Weaknesses of quantitative research

36

Numerical data may be insufficient in analyzing intangible factors such as gender roles.

Weaknesses of quantitative research

37

WEAKNESSES OF QUANTITIVE RESEARCH

1. It is costly since it requires a large number of respondents., 2. It cannot adequately provide in-depth information necessary for describing and explaining a complex phenomenon., 3. It has less flexibility in terms of study design., 4. Self-reported data may not be accurate., 5. Numerical data may be insufficient in analyzing intangible factors such as gender roles.

38

STRENGTHS OF QUANTITATIVE RESEARCH

1. Since it provides numerical data, it cannot be easily misinterpreted., 2. It can be replicated or repeated in another context., 3. It provides findings that are generalizable to a large population., 4. It can establish causality more conclusively., 5. It can make predictions based on numerical, quantifiable data., 6. Data analysis using statistical software is faster., 7. Data gathering techniques are less demanding., 8. It has low degree of subjectivity., 9. Its reliability and validity can be measured.

39

It is not based on mere intuitions and guesses.

Objective

40

Data are in form of numbers and statistics.

Quantifiable

41

It can be repeated to verify or confirm the correctness of the results in another setting.

Replication

42

Data are gathered using controlled/fixed research tools.

Structured

43

The research questions are well-defined for which objective answers are sought.

Precise