```Date: Fri, 12 Aug 2011 21:55:14 +0000 Reply-To: "Salbod, Mr. Stephen" Sender: "SPSSX(r) Discussion" From: "Salbod, Mr. Stephen" Subject: Re: Help with Dissertation SPSS Comments: To: Muralli Sakthi Thasan In-Reply-To: Content-Type: text/plain; charset="us-ascii" Hi Muralli, Let me see if I understand your design correctly. You have 8 games that have been classified into 3 video game types: violent, non-violent, and neutral. Participants indicate on a survey how much time they spend on each video game (8 responses, one for each game). To create the IV categories for a oneway ANOVA [brute force] you could compute the mean playing time for each video game type, then classify the participant according to the largest mean. What follows is pseudo code: DO IF (Violent > Nonviolent). COMPUTE group = 1. ELSE IF (Violent < Nonviolent). COMPUTE group = 2. ELSE IF (Violent = Nonviolent).* COMPUTE group = 3. END IF.** VALUE LABELS group 1'Violent' 2 'Nonviolent' 3 'Neutral' . *You can define what constitutes a no difference. ** If it doesn't fit the participant get a sysmis. ONEWAY aggression, prosocial BY group /STATISTICS DESCRIPTIVES HOMOGENEITY /MISSING ANALYSIS /POSTHOC=DUNNETT ALPHA(0.05). This is definitely not a good solution: it chops and slices the data. Another problem is that it creates an unbalanced design. Regards, Steve -----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Muralli Sakthi Thasan Sent: Friday, August 12, 2011 4:41 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: Re: Help with Dissertation SPSS I'm sorry Bruce but I don't understand your explanation, the research was meant to be an easy one but it would appear that the surveys i used has made it complicated. My aim is to measure the effects of video games on prosocial behavior. My hypothesis are video games will increase prosocial behavior, and video games will not increase violent behavior. In my proposal that was approved, i stated that I'm using 1 IV which is types of games (Violent, non-violent, neutral) and 1 DV prosocial behavior and that the design will be a one-way between subjects ANOVA. Is there a way to still do it like the way i proposed? P.S. I'm not sure how to send a reply, I'm sending one to all your emails and also to SPSSX-L hope you guys receive it. On 8/13/11, Bruce Weaver wrote: > Hi Sonia. The "days" variable is: 1 = no days, 2 = 1-5 days, 3 = > 6-10 days, > 4 = 11-20 days, 5 = more than 20 days. I would describe that as > ordered categories, not nominal. But in either case, categorical > variable like this certainly *can* be used in regression models, but > one has to compute k-1 indicator variables to do so (where k = the > number of categories). A DO-REPEAT is a nice way to do that. E.g., > > do repeat f = f1 to f5 / # = 1 to 5. > - compute f = (days EQ #). > end repeat. > > Then use 4 of the 5 f-variables to code for frequency of play. The > omitted 5th f-variable will be the reference category for the t-tests > you see in the table of regression coefficients. Using 4 of the 5 indicators for "days" > this way in REGRESSION gives exactly the same result you get by > treating the original "days" variable (with 5 categories) as a fixed > factor with UNIANOVA. (Make up an example and give it a try.) > > p.s. - I'll save Jon the trouble of adding that there is a > Python-based method for computing indicator variables too. Most of > the people I know locally do not have Python installed, however, and > I'll bet many of them have never even heard of it. So I like sticking > to native SPSS code when possible. ;-) > > HTH. > > > > Sonia Brandon-2 wrote: >> >> Your IV regarding the number of days is most definitely nominal, so >> you shouldn't use regression, especially on something for a >> dissertation. If you had asked for the actual number of days, it >> would be ratio, and then regression would be more appropriate. On >> your DVs, what are the response values? Is it a true scale or a Likert scale - or is it yes/no response? >> Just guessing, it sounds like you may have multiple interval DVs, and >> with Categorical IVs (type of game and frequency category), you may >> want to take a look at MANOVA as the appropriate technique. >> >> >> >> >> Sonia Brandon, Ph.D. >> Director, Institutional Research >> Colorado Mesa University >> 1100 North Avenue >> Grand Junction, CO 81501 >> phone: (970) 248-1884 >> fax: (970) 248-1812 >> email: sbrandon@coloradomesa.edu >>>>> Garry Gelade <garry@business-analytic.co.uk> 8/12/2011 11:46 >>>>> AM >>>>> >>> >> How many subjects do you have? And what is/are your research >> questions? Eg Frequency of playing any type of game affects >> aggressive & prosocial behaviours? Or Frequency of playing violent >> games affects these behaviours? >> Or both? >> >> Sticking with the regression for the moment, if I have understood >> your data, in the first case, your IV could be the total frequency >> score for all games. >> In the second case you could total the frequency ratings for each >> type of game, giving you 3 IVs. >> >> >> Garry >> >> >> -----Original Message----- >> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf >> Of Muralli >> Sent: 12 August 2011 14:17 >> To: SPSSX-L@LISTSERV.UGA.EDU >> Subject: Help with Dissertation SPSS >> >> My study is the effects of video games on prosocial behavior. >> >> 2 DV = prosocial behavior and aggression - measured with a 38 item >> questionnaire (15 Aggressive/23 Prosocial) IV = I used a video game >> questionnaire where participants are asked to rate the frequency of >> gameplay they have had in the past month (1 = no days, 2 = >> 1-5 days, 3 = 6-10 days, 4 = 11-20 days, 5 = more than 20 days). This >> is done for 8 games (RPG, adventure, strategy, platform, action and >> fight, first person shooter, sports, racers). These games are divided >> into 3 groups, violent, non-violent and neutral. >> >> I tried to do a multiple regression since someone told me that my IVs >> are not categorical but continuous. I compiled the scores for my DV >> and computed with target variable splitting up the aggressive >> questions and the prosocial questions (Q1 + Q3 + Q5, etc). Thus, the >> score comes up to 80, 103, 76 etc. >> >> Then I used each game as an IV but since they only had to rate the >> frequency, the data for each IV was 6, 3, 5, etc. >> >> Clearly, this led to a non-significant result and then I understood why. >> >> I have to idea how to use my IV and i'm not sure what test to use, I >> hope the way I have totaled my DVs were right. >> >> The proposed method which was approved was using a One-way between >> subjects ANOVA with 1 DV (Prosocial) and 1 IV Video games (Violent, >> non-violent, neutral). >> >> I don't see how to do this because the prosocial survey measures two >> things as mentioned earlier and the video games survey is not >> categorical. At least that's what i understand from it >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to >> LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except >> the command. To leave the list, send the command SIGNOFF SPSSX-L For >> a list of commands to manage subscriptions, send the command INFO >> REFCARD >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to >> LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except >> the command. To leave the list, send the command SIGNOFF SPSSX-L For >> a list of commands to manage subscriptions, send the command INFO >> REFCARD >> > > > ----- > -- > Bruce Weaver > bweaver@lakeheadu.ca > http://sites.google.com/a/lakeheadu.ca/bweaver/ > > "When all else fails, RTFM." > > NOTE: My Hotmail account is not monitored regularly. > To send me an e-mail, please use the address shown above. > > -- > View this message in context: > http://spssx-discussion.1045642.n5.nabble.com/Help-with-Dissertation-S > PSS-tp4693273p4694460.html Sent from the SPSSX Discussion mailing list > archive at Nabble.com. > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except > the command. To leave the list, send the command SIGNOFF SPSSX-L For a > list of commands to manage subscriptions, send the command INFO > REFCARD > ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ```

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