ࡱ>  bjbj:: 4PP%'rrBB8TV!9"4448888888,:=84@4448BB84vBR848\5"7 Q_:j(6880!9B6U>U>47744488444!9U>444444444r :   San Jose State University School of Social Work ScWk 242 In-Class Application Exercise One-Way ANOVA Research Scenario You are a school social worker in a large urban high school. Students who are referred to your program have been truant and displayed other behavior or academic problems. Your program is responsible for assessing student needs, locating services based on these needs, and facilitating communication between parents, students, teachers, and other service providers at regular case conference meetings. You suspect that the level of participation at the case conference meetings by all the key people in the students life is related to the number of truant episodes that a student experiences in a semester. To examine this question, you randomly select 40 case files of students who have participated in the program in the previous academic year. You then conduct a case record review of the case notes from the case conferences and categorize participation level at the case conferences as: high level of participation (parents, teachers and service providers participate), medium level of participation (inconsistent participation, or some key people do not attend), and a low level of participation (most key people do not attend). Creating the Variables:  Value Labels for Level of Participation Variable: The Value Labels are:  Setting Up the Truant Variable: In the Name field, type: truant In the Label field, type: Truant episodes in one semester Use the tab button or the mouse to move the cursor to the Missing field. Click on the gray box in the Missing field so that the Missing Values dialog box appears. In the Missing Values dialog box, click on Discrete Missing Values Then enter 999 this means that every time SPSS sees a value of 999 it will interpret that as a missing value. Leave the measurement level in the Measures field as scale. Entering the Data on the SPSS Data Spreadsheet: Participant IDLevel of participationNumber of truant episodes11921931114111511061771781991101017111612181317142515281624172618271923202421252227232424272529262427262835293530343136323633343435353836363735383239364033 Running the one-way ANOVA test: From the top drop down menu, choose Analyze Choose Compare Means Choose One-Way ANOVA In the One-Way ANOVA dialog box, use your cursor to highlight Level of participation in case conferences and use the arrow to place it in the Factor box. Then highlight Truant episodes in one semester and use the arrow to place it in the Dependent List Click on Post-Hoc in the lower part of the dialog box In the One-Way ANOVA: Post-Hoc Multiple Comparisons dialog box and select the Tukey option by placing a check in the box. Click Continue Click on Options in the dialog box and select Descriptives by placing a check in the box. Click Continue The click OK The output should appear Table of results (SPSS Output):    Using an 8-Step Process for Hypothesis Testing Questions for Class Discussion: Identify the independent variable and level of measurement Identify the dependent variable and level of measurement State the null hypothesis State the alternative hypothesis Identify the appropriate statistical test, and alpha level Describe results (use APA format) and decision to accept or reject the null hypothesis Provide a discussion of these results. Include: Statistical significance Direction of the relationship Meaning and implications of results Limitations/future studies     PAGE  PAGE 1 You will need to create a Participant ID and two variables for this exercise: Level of participation at case conferences (High, Medium, and Low). 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