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E

Effect size (T-test)

by Bùi Tiến Đạt - Monday, 27 April 2015, 10:04 PM
 

A t-test’s effect size indicates whether or not the difference between two groups’ averages is large enough to have practical meaning, whether or not it is statistically significant.

To understand clearly, you can go to this website: http://docs.statwing.com/examples-and-definitions/t-test/effect-size/

 

NK

External validity

by Nguyễn Ngọc Khánh Linh - Saturday, 24 January 2015, 8:34 PM
 

External validity is the extent to which you can generalize your findings to a larger group or other contexts. If your research lacks external validity, the findings cannot be applied to contexts other than the one in which you carried out your research.

For example, if the subjects are all males from one ethnic group, your findings might not apply to females or other ethnic groups.

 

TT

External Validity

by Trần Thị Thanh Thuỷ - Tuesday, 27 January 2015, 11:34 AM
 

The extent to which a study's results (regardless of whether the study is descriptive or experimental) can be generalized/applied to other people or settings reflects its external validity. Typically, group research employing randomization will initially possess higher external validity than will studies (e.g., case studies and single-subject experimental research) that do not use random selection/assignment. Campbell and Stanley (cited in Isaac & Michael, 1971) have identified 4 factors that adversely affect a study's external validity.

  1. An interaction between how the subjects were selected and the treatment (e.g., the independent variable) can occur. If subjects are not randomly selected from a population, then their particular demographic/organismic characteristics may bias their performance and the study's results may not be applicable to the population or to another group that more accurately represents the characteristics of the population.
  2. Pretesting subjects in a study may cause them to react more/less strongly to the treatment than they would have had they not experienced the pretest. In such situations the researcher(s) cannot conclude that members of the population who were not pretested would perform in a similar manner to the participants in the study. Restated, to generalize the results of the study the researcher would have to specify that a particular type of pretesting also be done because the pretesting could be serving as an extra, unintentional independent variable.
  3. The performance of subjects in some studies is more a product or reaction to the experimental setting (e.g., the situation where the study is conducted) than it is to the independent variable. For example, subjects who know they are participants in a study, or who are aware of being observed, etc., may react differently to the treatment than a subject who experienced the treatment but was not aware of being observed, etc.
  4. Studies that use multiple treatments/interventions may have limited generalizability because the early treatments may have a cumulative effect on the subjects' performance. If a group experienced treatment X1, and the first treatment was followed by a second (X2), their measured performance after X2 will be affected by both treatments not just X2's because the effects of X1 are not erasable.
 

HS

External validity

by Huỳnh Phú Sang - Wednesday, 28 January 2015, 10:16 PM
 

External validity is the extent to which the results of a study can be generalized to other situations and to other people.

 

LA

External validity

by Lâm Hoàng Thuý Anh - Thursday, 29 January 2015, 8:26 AM
 

External validity is related to generalizing. That's the major thing you need to keep in mind. Recall that validity refers to the approximate truth of propositions, inferences, or conclusions. So, external validity refers to the approximate truth of conclusions the involve generalizations. Put in more pedestrian terms, external validity is the degree to which the conclusions in your study would hold for other persons in other places and at other times.

 

VL

External validity

by Võ Thị Như Linh - Sunday, 1 February 2015, 9:26 PM
 

 External validity is the validity of generalized (causal) inferences in scientific research, usually based on experiments as experimental validity. In other words, it is the extent to which the results of a study can be generalized to other situations and to other people.

 

NQ

External validity

by Nguyễn Hà Bảo Quyên - Wednesday, 4 February 2015, 4:00 PM
 

External validity is the validity of inferences or findings of the research which is generalized to other situation or other people, especially based on experimental validity of the experiments  of the research 

 

NL

External validity

by Ngô Thị Cẩm Linh - Thursday, 23 April 2015, 8:23 PM
 

The main criteria of external validity is the process of generalization, and whetherresults obtained from a small sample group, often in laboratory surroundings, can be extended to make predictions about the entire population.

 

TQ

External validity

by Trịnh Minh Quân - Friday, 24 April 2015, 11:32 AM
 

External validity refers to the extent that the outcome of any research study would apply to other similar situations in the real world. When you run a experiment, you hope that the results will be generalized beyond the particular students or classes used in the research. 

 

NN

External validity

by Nguyen Thi Thao Nhi - Tuesday, 28 April 2015, 3:04 PM
 

External validity is the validity of generalized (causal) inferences in scientific research, usually based on experiments as experimental validity. In other words, it is the extent to which the results of a study can be generalized to other situations and to other people.

 


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