Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Data Analysis in Psychology: Exam Questions and SAS Data Sets - Prof. Gary Mcclelland, Exams of Statistics

Two exam questions and related sas data sets from a psychology course at the university of colorado boulder. The first question involves analyzing the effect of curriculum on final exam performance, ability, and self-reported work hours. The second question concerns the effect of angle on letter recognition latencies for older and younger subjects. Students are expected to conduct statistical analyses using the provided data and write up their results.

Typology: Exams

Pre 2010

Uploaded on 02/13/2009

koofers-user-51n
koofers-user-51n 🇺🇸

3

(1)

10 documents

1 / 3

Toggle sidebar

Related documents


Partial preview of the text

Download Data Analysis in Psychology: Exam Questions and SAS Data Sets - Prof. Gary Mcclelland and more Exams Statistics in PDF only on Docsity! Psych 5741/5751: Data Analysis University of Colorado @ Boulder Gary McClelland & Charles Judd Prepared to accompany Judd & McClelland (1989) — 1 — Exam 2, Spring 1995 NOTE: This was a take-home exam! Question 1 Data are collected from 200 subjects who are randomly assigned to one of two education interventions: the standard curriculum or an enhanced curriculum. At the end of the course, their performance on a final exam serves as the primary dependent variable to assess whether or not the enhanced curriculum made a difference over and above the standard curriculum. Additionally, student's ability, as measured by past performances in similar classes was also assessed at the start of the course, to see if the curriculum differences depended on student's level of ability. Finally, a measure was taken of how much each student reported working during a typical week of the semester, to see if the differences between the two curricula in performance on the final exam could be due to differences in how hard the subjects worked during the semester. The relevant data are in the SAS dataset stat.curr, with variables defined as follows: curr +1 if enhanced curriculum; -1 if standard. fin final exam performance (0 - 60 points) able ability measure of past performances in similar courses (0 - 100 rating, with higher numbers indicating more ability) work self-rated estimate of amount of time spent on course during typical week (1 - 7 rating) Using these data, conduct analyses to answer the following questions: Psych 5741/5751: Data Analysis University of Colorado @ Boulder Gary McClelland & Charles Judd Prepared to accompany Judd & McClelland (1989) — 2 — 1. Is there a performance difference on the final exam as a function of curriculum? 2. Does the performance difference depend on prior ability? 3. Do students in the two curricula differ in how much they say they worked? 4. Does the performance difference between the two curricula persist even when we equate students on how much they say they worked? Write up your analyses in a succinct results section, no more than a couple of pages long. Include tables and graphs of means, adjusted effects, simple effects, etc., as relevant and informative. (A results section will be considered complete if just the above four questions are answered. You needn't explore other issues that might occur to you.) Question 2 A perceptual psychologist is interested in factors affecting attention and the recognition of letters. In this experiment, the researcher varied the location of the target letter which was either a T or an I. This factor, called "angle," has three levels. The target letter is either shown at the center of the screen (i.e., 0° off-center, where the subject has been instructed to fixate), 4° off-center, or 8° off-center (in each case, the deviation from the center varies randomly between left and right). Data are obtained from 10 older subjects (55-70 years) and 10 younger subjects (15-30). The dependent variable is the amount of time (in milliseconds) that it takes subjects to recognize the letter. a. Conduct a complete analysis of these data to answer the researcher's question. Write a journal summary for your analysis using graphs as appropriate to report the results.
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved