INSTRUCTOR AND INSTRUCTIONAL EFFECTS ON STUDENTS’ STATISTICS ATTITUDES

2021 ◽  
Vol 19 (2) ◽  
pp. 7-26
Author(s):  
CHAO XU ◽  
MICHELLE PETERS ◽  
SUE BROWN

Using data from 23 statistics instructors and 1,924 students across 11 post-secondary institutions in the United States,we employ multilevel covariate adjustment models to quantify the sizes of instructor and instructional effects on students’ statistics attitudes. The analysis suggests that changes in students’ statistics attitudes vary considerably across statistics instructors. Instructor-associated changes instudents’ statistics attitudes are positively associated with instructional practices most proximal to tasks involving data as well as with instructors’ attitudestoward teaching their statistics classes. Moreover, instructor-associated changes in students’ statistics attitudes are positively related to changes in students’ expected grades. These findings lend support to previous qualitative findings about links between certain dimensions of teaching practices and students’ statistics attitudes. First published June 2020 at Statistics Education Research Journal Archives

2012 ◽  
Vol 11 (2) ◽  
pp. 86-94
Author(s):  
CANDACE SCHAU ◽  
ESMA EMMİOĞLU

We examined the attitudes of about 2200 students enrolled in 101 sections of post-secondary introductory statistics service courses located across the United States. Using the Survey of Attitudes Toward Statistics-36, we assessed students’ attitudes when they entered and left their courses, as well as changes in attitudes across their courses. Results showed that, on average, students entered these courses with neutral (Affect, Difficulty), positive (Cognitive Competence, Value, Interest), and very positive (Effort) attitudes. Their attitudes either stayed about the same (Affect, Cognitive Competence, Difficulty) or decreased (Value, Interest, Effort). These results help us understand the current impact of introductory statistics instruction in U.S. institutions. First published November 2012 at Statistics Education Research Journal: Archives


2004 ◽  
Vol 4 (3) ◽  
pp. 58-58
Author(s):  
Flavia Jolliffe ◽  
Iddo Gal

2014 ◽  
Vol 13 (1) ◽  
pp. 5-6
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published May 2014 at Statistics Education Research Journal Archives


2013 ◽  
Vol 12 (2) ◽  
pp. 84-87
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published November 2013 at Statistics Education Research Journal Archives


2014 ◽  
Vol 13 (1) ◽  
pp. 77-79
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published May 2014 at Statistics Education Research Journal Archives


2017 ◽  
Vol 16 (1) ◽  
pp. 31-37
Author(s):  
CHRIS J. WILD

“The Times They Are a-Changin’” says the old Bob Dylan song. But it is not just the times that are a-changin’. For statistical literacy, the very earth is moving under our feet (apologies to Carole King). The seismic forces are (i) new forms of communication and discourse and (ii) new forms of data, data display and human interaction with data. These upheavals in the worlds of communication and data are ongoing. If anything, the pace of change is accelerating. And with it, what it means to be statistically literate is also changing. So how can we tell what is important? We will air some enduring themes and guiding principles. First published May 2017 at Statistics Education Research Journal Archives


2017 ◽  
Vol 16 (2) ◽  
pp. 362-375
Author(s):  
CLAIRE CAMERON ◽  
ELLA IOSUA ◽  
MATTHEW PARRY ◽  
ROSALINA RICHARDS ◽  
CHRYSTAL JAYE

This paper describes a qualitative survey of professional statisticians carried out in New Zealand in 2014. The aim of the study was to find out if the issues this group faced were consistent with those identified in the literature. The issues identified were integrity, legitimacy, isolation, workforce shortage, communication, and marginalisation. They represent points of frustration for statisticians that may impact on the future of the profession as it responds to increasing demands and higher expectations. We found that these issues resonated for many of the statisticians included in our study and we have discussed a number of strategies to address them. They include raising our profile, attracting a broader range of people to the profession, increasing our communication skills, raising the statistical literacy of the people we work with, and a commitment to making it easy to engage with our colleagues. First published November 2017 at Statistics Education Research Journal Archives


2019 ◽  
Vol 18 (2) ◽  
pp. 94
Author(s):  
JENNIFER J. KAPLAN

Acknowledgment: We are grateful to the people who acted as referees for the Statistics Education Research Journal in the past year. First published November 2019 at Statistics Education Research Journal Archives  


2013 ◽  
Vol 12 (2) ◽  
pp. 2-3
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published November 2013 at Statistics Education Research Journal Archives


2020 ◽  
Vol 19 (3) ◽  
Author(s):  
JENNIFER. J KAPLAN

Welcome to the third issue of SERJ for 2020. First published December 2020 at Statistics Education Research Journal: Archives


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