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2003-2005 - Special Collections - University of Baltimore

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<strong>of</strong> applied psychology. The student is<br />

expected to demonstrate an ability to formulate<br />

research questions as testable<br />

hypotheses, to analyze data using apptOpriate<br />

research methods and design and statistical<br />

tOols, and to present the entire work in<br />

a well-written document using APA style.<br />

The number <strong>of</strong> credits is determined when<br />

the proposal is approved. Prerequisites:<br />

approval <strong>of</strong>the thesis prior to registration.<br />

Pass/Failgrading. Eligible for continuing<br />

studies (eS) grade.<br />

APPL 801 Statistics for Assessment and<br />

Evaluation I (3) An advanced course covering<br />

statistics common to field research,<br />

including partial and semi-partial correlation,<br />

ANCOVA, and multiple regression,<br />

and statistics used with dichotomous<br />

dependent variables, including logistic<br />

regression and nonparametric procedures<br />

(e.g., Chi-square, Cohen's Kappa, Fisher<br />

Exact test, Wilcoxon's Matched-Pairs<br />

Signed-Rank Test). Exams and projects<br />

involve examples <strong>of</strong> field assessment with<br />

an emphasis on interpreting results calculated<br />

using SPSS.<br />

APPL 802 Statistics for Assessment and<br />

Evaluation II (3) An advanced course covering<br />

multivariate statistical procedures,<br />

including factOr analysis, MANOVA and<br />

MANCOVA, discriminant analysis, confirmatOty<br />

factor analysis and causal modeling.<br />

Exams and projects involve examples <strong>of</strong><br />

field assessment with an emphasis on interpreting<br />

results calculated via SPSS.<br />

Prerequisite: APPL 801.<br />

APPL 803 Measurement Theory (3)<br />

An advanced course in psychometrics that<br />

focuses on understanding the internal<br />

structure <strong>of</strong> scales used primarily for measuring<br />

abilities, personality traits, interests,<br />

values, and attitudes. Emphasis is on scale<br />

construction based on True Score Theory,<br />

GeneralizabilityTheory, and Item Response<br />

Theory. This course assumes the understanding<br />

<strong>of</strong> reliability, validity, and scaling<br />

models.<br />

144<br />

APPL 804 Organizational Theory and<br />

Development (3) Survey <strong>of</strong> organizational<br />

theory and techniques used in Organizational<br />

Development. Topics include organizational<br />

structure and communication,<br />

sources <strong>of</strong> power, organizational culture,<br />

Lewin's Change Model, Action Research,<br />

and Schein's Process Change.<br />

APPL 805 Consulting Skills (3) Focuses<br />

on the essential skills and abilities needed<br />

for successful consulting to organizations.<br />

Topics include business development, project<br />

management, cost estimation, and<br />

report writing. Emphasizes learning techniques<br />

used ror successful group presentations<br />

and developing skills for effective oral<br />

and written communication.<br />

APPL 806 Survey Development and<br />

Implementation (3) Students learn how<br />

to plan, design, and implement surveys to<br />

assess organizational characteristics. Emphasis<br />

placed on how to collect, analyze<br />

survey data, and present findings to the<br />

organization.<br />

APPL 807 Examination Construction (3)<br />

An advanced course that develops skills in<br />

constructing examinations (primarily written)<br />

for employment and educational testing.<br />

Measurement theory is reviewed<br />

through data analysis projects that involve<br />

calculating estimates <strong>of</strong> reliability and validity,<br />

item difficulty and item discrimination,<br />

criterion-referencing, methods for setting<br />

cutOff scores, cross-validation, and jackknife<br />

procedures.<br />

APPL 810 Qualitative Research Methods<br />

(3) Focuses on the predominant techniques<br />

for designing, collecting, and analyzing<br />

qualitative data. Various methods <strong>of</strong> data<br />

collection such as naturalistic observation,<br />

informal interviewing, in-depth immersion<br />

(ethnography), and focus groups are studied.<br />

Covers tOpics relating to content analysis,<br />

coding responses, ethical issues and<br />

comparing qualitative and quantitative<br />

measures.

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