Basic Research Statistics MCQs

Basic Research Statistics MCQs

Welcome to the Basic Research Statistics MCQs page on MCQss.com. This page is dedicated to providing you with a collection of interactive multiple-choice questions that will test your understanding of basic research statistics. Each question is designed to assess your knowledge and provide immediate feedback.

Basic research statistics play a vital role in the field of research methodology. They enable researchers to collect, analyze, and interpret data effectively, making informed conclusions and decisions based on statistical evidence. Proficiency in basic research statistics is essential for conducting reliable and valid research studies.

To excel in basic research statistics, it is important to have a solid foundation in statistical concepts, data analysis techniques, and research methodology. Understanding topics such as descriptive statistics, probability, hypothesis testing, correlation, and regression is crucial for conducting sound research.

MCQss.com's Basic Research Statistics MCQs are designed to help you enhance your knowledge and understanding of fundamental research statistical concepts. By practicing these MCQs, you can assess your comprehension, identify areas for improvement, and gain confidence in your ability to apply statistical principles in research.

Regularly practicing Basic Research Statistics MCQs will not only prepare you for exams and assignments but also strengthen your analytical thinking and data analysis skills. These MCQs serve as a valuable tool for self-assessment, practice, and increasing your proficiency in basic research statistics.

By utilizing Basic Research Statistics MCQs, you can sharpen your statistical reasoning, enhance your research methodology skills, and become better equipped to tackle research projects and data analysis tasks.

1: _______ refers primarily to numerical information about many cases on one or more variables .

A.   Data

B.   Analysis

C.   Cases

D.   None of these

2: A statistical technique used to describe scores for one variable is known as ______ .

A.   Data

B.   Analysis

C.   Cases

D.   None of these

3: Which of the correct statements about Variables ?

A.   A characteristic that varies across cases. For example, humans differ on variables such as blood pressure, height, and age.

B.   Participants or respondents. However, the old use of subject or S to refer to people in studies

C.   A variable with scores that identify group membership. These scores serve merely as labels and convey no information

D.   None of these

4: Subjects is a _______ included in a sample .

A.   Cases

B.   Persons

C.   Both a & b

D.   None of these

5: The case is usually a ________ . In other research fields .

A.   Person

B.   Animal

C.   Both a & b

D.   None of these

6: Categorical Variables is a variable with scores that identify group membership .

A.   True

B.   False

7: Nominal Variables are numbers that serve only as names or labels for group membership and do not convey any information .

A.   True

B.   False

8: Quantitative Variables is a variable that contains information about the _________ of some underlying characteristic .

A.   Quantity

B.   Amount

C.   Both a & b

D.   None of these

9: Ordinal variables are those that contain ________ only about rank.

A.   Data

B.   Information

C.   Forms

D.   None of these

10: A Likert scale assumes that the strength/intensity of an attitude is ________ .

A.   Vertical

B.   Horizontally

C.   Linear

D.   None of these

11: Which of the correct statements about multiple-Point Rating Scales ?

A.   A rating scale is often called a Likert scale; the original format proposed by Likert involved rating degree of agreement on a five-point scale.

B.   We can evaluate whether variables X and Y are statistically related by doing an appropriate statistical analysis

C.   The order of events in time. If X1 happens before Y, or if X1 is measured or observed before Y,

D.   None of these

A.   True

B.   False

A.   Temporal Precedence

B.   Rival Explanatory Variables

C.   Confounds or Confounded Variables

D.   ALL of these

14: Rival Explanatory Variables can potentially be hundreds of rival explanatory variables that would need to be ruled out .

A.   True

B.   False

15: Confounds or Confounded Variablesdetermine whether the outcomes for that group are due to the type of treatment or the confound.

A.   True

B.   False

16: The power to influence or direct people's behaviour or the course of events is known as ________ .

A.   Control

B.   Experimental

C.   Statistical

D.   None of these

17: Experimental Controls basic research methods textbooks for a further discussion of the many forms of experimental control.

A.   True

B.   False

A.   Internal Validity

B.   Statistical Control

C.   Experimental Controls

D.   None of these

19: The degree to which results from a study can be used as evidence of a causal connection between variables is known as ________ .

A.   Internal Validity

B.   Statistical Control

C.   Experimental Controls

D.   None of these

20: In an experiment, if another variable systematically co-occurs with a specific type of treatment, that variable is confounded with treatment is known as _______ .

A.   Internal Validity

B.   Statistical Control

C.   Experimental Controls

D.   Confounded

21: The term _________ can also be used more broadly to include other aspects of a study .

A.   Internal Validity

B.   Statistical Control

C.   Research Designs

D.   Confounded

22: Experimental Research Design involve the manipulation of one or more _________ by a researcher and experimental control over other variables

A.   Dependent variables

B.   Independent variables

C.   Both a & b

D.   None of these

23: The control group provides a basis for comparison.

A.   True

B.   False

24: ________ is a subset of cases from a population selected in a manner that gives each member of the population an equal chance of being included in the sample.

A.   Random Sampling of Participants from a Population

B.   Random Assignment of Participants to Groups or Conditions

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

25: A way of assigning members of a sample to two or more treatment groups, such that each member of the sample has an equal chance of being included in each group is known as _______ .

A.   Random Sampling of Participants from a Population

B.   Random Assignment of Participants to Groups or Conditions

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

26: Standardization also helps in ensuring the ________ of goods produced.

A.   Safety

B.   Interoperability

C.   Compatibility

D.   All of these

27: The researcher controls situational factors such as setting, time of day, noise level, lighting conditions, group size, or other factors known as ________ .

A.   Random Sampling of Participants from a Population

B.   Random Assignment of Participants to Groups or Conditions

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

28: Sometimes even when random assignment of cases to groups is used, just by chance, the groups end up being different in some way is known as ______ .

A.   Correlational Study

B.   Unlucky Randomization

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

29: The investigator does not manipulate an independent variable and does not have experimental control is known as ______ .

A.   Correlational Study

B.   Unlucky Randomization

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

30: A study that does not have the controls that are used in experimental research are called _______ .

A.   Correlational Study

B.   Nonexperimental study.

C.   Both a & b

D.   None of these

31: Correlated Variables is a narrow sense, X and Y are correlated if they have a large Pearson’s r correlation.

A.   True

B.   False

32: A research design that involves pretest–posttest comparisons, or comparisons of treatment groups is known as ______ .

A.   Random Sampling of Participants from a Population

B.   Quasi-Experimental Research Designs

C.   Experimental Control Cover Other Situational Factors

D.   Nonexperimental Research Design

A.   Random Sampling of Participants from a Population

B.   Quasi-Experimental Research Designs

C.   Nonequivalent Control Group

D.   Nonexperimental Research Design

34: The degree to which research results can be generalized to participants, settings, and materials is known as _______ .

A.   External Validity

B.   Between-S

C.   Representative Sample

D.   All of these

35: A design in which each group includes different cases or people. Each participant is assigned to one and only one group is known as ________ .

A.   External Validity

B.   Between-S

C.   Representative Sample

D.   All of these

36: Population can be identified and then selected .

A.   True

B.   False

37: A sample is a _______ of cases drawn from the population of interest .

A.   Subset

B.   SET

C.   Both a & b

D.   None of these

38: A design in which each group includes different cases or people. Each participant is assigned to one and only one group is known as ________ .

A.   External Validity

B.   Between-S

C.   Representative Sample

D.   All of these

39: A sample is representative of a population if the characteristics of the sample are similar to those of the population in all important respects is known as _______ .

A.   External Validity

B.   Between-S

C.   Representative Sample

D.   All of these

40: Convenience Sample includes readily available cases, rather than cases randomly selected from a specific population .

A.   True

B.   False

41: A sample that consists of persons who were easily available is known as _______ .

A.   Imaginary Population

B.   Accidental Sample

C.   Proximal Similarity

D.   Hypothetical

42: Proximal Similarity Model or Imaginary Population can be generalized to a hypothetical population that has characteristics similar .

A.   True

B.   False

43: The (often imprecisely defined) population to which generalizations are made when research is based on an accidental or a convenience sample is known as _________ .

A.   Hypothetical

B.   Imaginary Population

C.   Proximal Similarity

D.   Both a & b

44: Sampling models are used to select a sample from a population, such that the sample is representative of the population .

A.   True

B.   False