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Lab Project Phase 2: Raw Data Scoring Instructions

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Question;Lab Project;Phase 2: Raw Data Scoring Instructions;How to Create;SPSS Data File;Open;a new data file in SPSS. You will create a file containing 1 variable for each;item on the survey (for a total of 10). You will score each individual survey;and enter the values into the appropriate column of the SPSS data file for;later analysis.;How to Score;Survey and Enter Results into Data File;All;questions on the survey except the last one are written as Likert-type items;with choices ranging from ?Strongly agree? to ?Strongly disagree.? In order to;enter these into the data file for analysis, each of the answer choices will be;given a corresponding score ranging from 1 to 5. NOTE: It is important to pay attention;to the following directions, as some of the items will be reverse-scored (see;below).;1.;Gather your completed surveys. It will;be necessary to enter data from each;individual survey into SPSS. If you have used the online method, you must;follow these steps to access each individual survey;a);Sign into your account and go to ?My;Surveys.? Your survey title will appear with 3 icons to the right: Design;Collect, and Analyze. Click on the pie graph under ?Analyze.? This will take;you to a Response Summary page.;b);On the menu bar to the left, click on;?Browse Responses.? This allows you to view each individual survey, which is;necessary in order to enter and analyze data in SPSS. Within ?Browse;Responses,? you can move from one individual survey to the next by clicking on;the ?Next? and ?Prev? arrow buttons at the top.;2.;All items on the survey will be scored;from 1 to 5 except for item 10. You will enter the scores for each survey into;your SPSS data file under the corresponding variable, case by case. If you have;10 surveys, you will have 10 cases (rows), if you have 25 surveys, 25 cases;(rows), etc.;a);Scores for items 1, 2, 3, 5, 7, 8, and 9;are as follows;Strongly;agree = 5;Agree;= 4;Neither;agree nor disagree = 3;Disagree;= 2;Strongly;disagree = 1;b);Scores for items 4 and 6 are reversed. This;is because, in opposition to the other items, these items indicate a;fundamentally different worldview than the Christian worldview, so the scoring;must be reversed, this allows higher scores on all items to reflect an understanding;of Christian doctrine, while lower scores indicate misunderstanding or;disagreement. This is a method commonly used in survey research.;c);Scores for items 4 and 6 are as follows;Strongly;agree = 1;Agree;= 2;Neither;agree nor disagree = 3;Disagree;= 4;Strongly;disagree = 5;d);For item 10, you will simply enter the;exact number that the respondent filled in on the survey (for example, 10 or 63;etc.) under the appropriate variable in the SPSS data file.;3.;Remember that the original research;question is about the relationship between church attendance and understanding;of Christian doctrine. We have one variable that represents church attendance;(item 10), but we do not have one sole variable to compare it to?a total score;that represents doctrinal understanding. Based on what you have learned, how do;you think we should create this variable?;Answer: After;you have entered all of your survey data, create a new variable called Tot_Und (which is shorthand for ?total;understanding?). Define this variable as the sum of items 1?9, see Lesson 19 in;Green & Salkind (2011) to review this procedure.;Refer;to the ?Lab Project Overview and Instructions? in addition to this document;when completing this phase.;Submit;this assignment by 11:59 p.m. (ET) on Monday of Module/Week 4.

 

Paper#59570 | Written in 18-Jul-2015

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