An Analysis on Argumentative Process and Statistical Literacy of High School Students Engaged in Statistical Argumentation Activity

Author(s):  
JeongChan Lee ◽  
JongGug Yun
2004 ◽  
Vol 97 (2) ◽  
pp. 106-109
Author(s):  
Randall E. Groth ◽  
Nancy N. Powell

Statistics plays a key role in shaping policy in a democratic society, so statistical literacy is essential for all citizens to keep a democratic government strong (Wallman 1993). However, fostering the statistical thinking is a complex endeavor. We ultimately need to engage students in all phases of the investigative cycle of statistics, including data gathering, data analysis, and inference.


2021 ◽  
Vol 4 (1) ◽  
pp. 43-54
Author(s):  
Erlyanna Nur Risqi ◽  
Rini Setianingsih

Statistical literacy is strongly needed in the 21st century in reading data information, thinking critically and making decisions. The purpose of this study is to describe the statistical literacy abilities of high school students in solving contextual problems taking into account their initial statistical abilities, with the following indicators, Tier 1 (reading & explaining data), Tier 2 (analyzing, interpreting, interpreting critically, and making conclusions), Tier 3 (presenting data and predicting something). This research is a qualitative in nature, using statistical ability test, statistical literacy test, and interview guidelines to collect data. The subjects of this study consist of three female students of grade XII Senior High School, with high, medium and low initial statistical ability categories. The results of this study revealed that (1) The student with high initial statistical abilities can meet the indicators of Tier 1, Tier 2, Tier 3, so that she can be categorized at level 5 to 6 (critical-mathematics critical), (2) The student with medium ability can fulfil the Tier 1 indicator not fulfil the indicators in Tier 2 and Tier 3, so that it can be categorized at level 3 to 5 (Consistent noncritical-Critical), and (3) The students with low abilities can fulfill the indicators of Tier 1 not fulfil the indicators in Tier 2 and Tier 3, so that it can be categorized at level 1 to 3 (Idiosyncratic-Consistent Noncritical). Therefore, it is important for students and teachers to know statistical literacy skills in order to increase their understanding and ability to understand information in making decisions regarding daily problems.


2018 ◽  
Vol 20 (4) ◽  
pp. 661-683
Author(s):  
Mi-Kyung Ju ◽  
So-Yeon Kim ◽  
Ki-Tae Bae ◽  
Hee-Su Jeong ◽  
Soo-Yong Jung

2021 ◽  
Vol 4 (3) ◽  
pp. 48-56
Author(s):  
Reynaldo E. Repedro, Jr. ◽  
Crispina V. Diego

Statistics has proven its usefulness in research over centuries to produce quality insights and data-driven decision-making. Learning statistics not only rely on cognitive but other factors such including attitude as well. This descriptive-correlational research determined the attitudes toward statistics in the components of affect, cognitive competence, value, difficulty, interest and effort, and statistical literacy of 200 public senior high school students selected through stratified random sampling. The SATS-36© developed by Schau et al. (2003) was used to determine attitudes, while a researcher-made questionnaire was utilized to measure statistical literacy. Using descriptive statistics and inferential analysis, students' attitudes toward the subject were established positively in value, interest, and effort components. In contrast, a negative attitude was exhibited in the components of affect, cognitive competence, and difficulty. Students' statistical literacy was found to be low in all areas and as a whole. Among the six components of attitude, the value component showed a significant relationship and predicted students' statistical literacy. Thus, the most vital component of attitudes toward statistics is value.


2017 ◽  
Vol 16 (1) ◽  
pp. 22-25
Author(s):  
ROBERT GOULD

Past definitions of statistical literacy should be updated in order to account for the greatly amplified role that data now play in our lives. Experience working with high-school students in an innovative data science curriculum has shown that teaching statistical literacy, augmented by data literacy, can begin early. First published May 2017 at Statistics Education Research Journal Archives


1979 ◽  
Vol 10 (3) ◽  
pp. 139-144
Author(s):  
Cheri L. Florance ◽  
Judith O’Keefe

A modification of the Paired-Stimuli Parent Program (Florance, 1977) was adapted for the treatment of articulatory errors of visually handicapped children. Blind high school students served as clinical aides. A discussion of treatment methodology, and the results of administrating the program to 32 children, including a two-year follow-up evaluation to measure permanence of behavior change, is presented.


1999 ◽  
Vol 15 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Robert J. Sternberg ◽  
Elena L. Grigorenko ◽  
Michel Ferrari ◽  
Pamela Clinkenbeard

Summary: This article describes a triarchic analysis of an aptitude-treatment interaction in a college-level introductory-psychology course given to selected high-school students. Of the 326 total participants, 199 were selected to be high in analytical, creative, or practical abilities, or in all three abilities, or in none of the three abilities. The selected students were placed in a course that either well matched or did not match their pattern of analytical, creative, and practical abilities. All students were assessed for memory, analytical, creative, and practical achievement. The data showed an aptitude-treatment interaction between students' varied ability patterns and the match or mismatch of these abilities to the different instructional groups.


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