Review of Introduction to statistics: A nonparametric approach for the social sciences.

1980 ◽  
Vol 25 (1) ◽  
pp. 84-84
Author(s):  
GEOFFREY KEPPEL
Keyword(s):  
Social Sciences ◽  
Nonparametric Approach ◽  
The Social

The Nonparametric Approach in Elementary Statistics

1974 ◽  
Vol 67 (2) ◽  
pp. 123-126
Author(s):  
Gottfried E. Noether
Keyword(s):  
Social Sciences ◽  
Great Majority ◽  
Graduation Requirements ◽  
Introductory Statistics ◽  
Nonparametric Approach ◽  
The Social ◽  
Statistics Course ◽  
Statistics Courses ◽  
Carry Over ◽  
Elementary Statistics

Introductory statistics courses are taken each year by hundreds of thousands of students across the country. These students come from many fields: the life sciences, humanities, education, agriculture, business, but above all from the social sciences. They rarely take statistics voluntarily. They sign up for the course because of departmental or graduation requirements. The great majority has minimal preparation in mathematics, rarely more than they bring along from high school. They carry over into statistics their prejudices of mathematics and quite often, justifiably so. Teachers of statistics courses should then ask themselves how they can make the introductory statistics course statistically meaningful and not simply an exercise in mathematics or, what may even be worse, a meaningless compendium of statistical techniques.

Introduction to Statistics: A Nonparametric Approach for the Social Sciences

Technometrics ◽  
1980 ◽  
Vol 22 (3) ◽  
pp. 445
Author(s):  
John E. Boyer ◽  
Chris Leach
Keyword(s):  
Social Sciences ◽  
Nonparametric Approach ◽  
The Social

What Can We Learn From Factorial Surveys About Human Behavior?

Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring
Keyword(s):  
Social Sciences ◽  
Behavioral Intentions ◽  
Actual Behavior ◽  
Full Time ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Intended Behavior ◽  
The Social ◽  
Survey Experiments ◽  
High Level

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.

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