# One likert scale question, 3 hypotheses analysis help needed

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## One likert scale question, 3 hypotheses analysis help needed

 I think a VERY simple analysis question but I am at a lost as a novice to statistics AND SPSS 🙁 We did a test on three homogenic groups (test A, B and C) (people in the group are homogenic as well as the groups compared to each other) of 100 students each to find out if packaging can influence the taste of a certain kind of candy. We know all the students do not normally like this type of candy. Each individual was asked to look closely at the packaging and after tasting the candy to point to a 5 point likert scale from 1 to 5 ((1)Very Good, Good, OK, Bad, (5) Very Bad). We have 3 hypotheses: 1. We think packaging used in test A will have no effect on the taste experience 2. We think packaging used in test B will have little positive effect on the taste experience 2. We think packaging used in test C will have significant positive effect on the taste experience. EXAMPLE: the data looks like this. Meaning test A we 5 likert scale results of which 1 was Very Good and 3 was Good and 1 was OK, etc). In reality we have 370 results. A = 1 A = 2 A = 2 A = 2 A = 3 B = 2 B = 2 B = 3 B = 3 The data is already in SPSS the A, B and C values are actually numbers "ofcourse" in de data view tab. I have two variables set. TEST Numeric 8 0 {1, CNTEST}... None 11 Right Ordinal Input TASTE Numeric 8 0 {1, Very Good}... None 11 Right Ordinal Input What is the best analyses to use on this. A few pointers would be very VERY appreciated. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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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## Re: One likert scale question, 3 hypotheses analysis help needed

 From the weaknesses of design, I figure that this must be a student's design for an assignment.   How do you test a likert-type variable? - usually, as if it were continuous, equal-interval, and normally distributed. How do you test three groups on one continuous variable? - ANOVA. How do you test an "ordered-groups" hypothesis? - Do a linear contrast across the groups, which is very similar to (if it is not completely the same test as) the correlation between the two variables; or do a t-test between the extreme groups. How do you improve the design? - There is much more power for simple comparisons (like this one) when one subject does multiple ratings.  There is very little burden on a subject tasting candies to do more than one rating, but showing the same candy in three wrappings is not a great idea. I would suggest, Let each student rate three different candies, with randomized order of wrappings. By the way, "all the students do not normally like this type of candy" seems very unlikely, or the candy has a major marketing problem.  -- Rich Ulrich From: SPSSX(r) Discussion <[hidden email]> on behalf of shardphoenix <[hidden email]> Sent: Thursday, June 7, 2018 7:11:44 AM To: [hidden email] Subject: One likert scale question, 3 hypotheses analysis help needed   I think a VERY simple analysis question but I am at a lost as a novice to statistics AND SPSS 🙁 We did a test on three homogenic groups (test A, B and C) (people in the group are homogenic as well as the groups compared to each other) of 100 students each to find out if packaging can influence the taste of a certain kind of candy. We know all the students do not normally like this type of candy. Each individual was asked to look closely at the packaging and after tasting the candy to point to a 5 point likert scale from 1 to 5 ((1)Very Good, Good, OK, Bad, (5) Very Bad). We have 3 hypotheses: 1. We think packaging used in test A will have no effect on the taste experience 2. We think packaging used in test B will have little positive effect on the taste experience 2. We think packaging used in test C will have significant positive effect on the taste experience. EXAMPLE: the data looks like this. Meaning test A we 5 likert scale results of which 1 was Very Good and 3 was Good and 1 was OK, etc). In reality we have 370 results. A = 1 A = 2 A = 2 A = 2 A = 3 B = 2 B = 2 B = 3 B = 3 The data is already in SPSS the A, B and C values are actually numbers "ofcourse" in de data view tab. I have two variables set. TEST    Numeric 8       0               {1, CNTEST}...  None    11      Right   Ordinal Input TASTE   Numeric 8       0               {1, Very Good}...       None    11      Right   Ordinal Input What is the best analyses to use on this. A few pointers would be very VERY appreciated. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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 [hidden email] (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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## Re: One likert scale question, 3 hypotheses analysis help needed

 We need to filter out student assignments, especially from MBA and similar students. John F Hall  MA (Cantab) Dip Ed (Dunelm)[Retired academic survey researcher] Email:          [hidden email] Website:     Journeys in Survey Research From: SPSSX(r) Discussion <[hidden email]> On Behalf Of Rich UlrichSent: 10 June 2018 19:00To: [hidden email]Subject: Re: One likert scale question, 3 hypotheses analysis help needed From the weaknesses of design, I figure that this must be a student's design for an assignment.   How do you test a likert-type variable? - usually, as if it were continuous, equal-interval, and normally distributed.How do you test three groups on one continuous variable? - ANOVA.How do you test an "ordered-groups" hypothesis? - Do a linear contrast across the groups, which is very similar to (if it is not completely the same test as) the correlation between the two variables; or do a t-test between the extreme groups. How do you improve the design? - There is much more power for simple comparisons (like this one) when one subject does multiple ratings.   There is very little burden on a subject tasting candies to do more than one rating, but showing the same candy in three wrappings is not a great idea. I would suggest, Let each student rate three different candies, with randomized order of wrappings. By the way, "all the students do not normally like this type of candy" seems very unlikely, or the candy has a major marketing problem. -- Rich Ulrich From: SPSSX(r) Discussion <[hidden email]> on behalf of shardphoenix <[hidden email]>Sent: Thursday, June 7, 2018 7:11:44 AMTo: [hidden email]Subject: One likert scale question, 3 hypotheses analysis help needed  I think a VERY simple analysis question but I am at a lost as a novice tostatistics AND SPSS 🙁We did a test on three homogenic groups (test A, B and C) (people in thegroup are homogenic as well as the groups compared to each other) of 100students each to find out if packaging can influence the taste of a certainkind of candy.We know all the students do not normally like this type of candy.Each individual was asked to look closely at the packaging and after tastingthe candy to point to a 5 point likert scale from 1 to 5 ((1)Very Good,Good, OK, Bad, (5) Very Bad).We have 3 hypotheses:1. We think packaging used in test A will have no effect on the tasteexperience2. We think packaging used in test B will have little positive effect on thetaste experience2. We think packaging used in test C will have significant positive effecton the taste experience.EXAMPLE: the data looks like this. Meaning test A we 5 likert scale resultsof which 1 was Very Good and 3 was Good and 1 was OK, etc). In reality wehave 370 results. A = 1A = 2A = 2A = 2A = 3B = 2B = 2B = 3B = 3The data is already in SPSS the A, B and C values are actually numbers"ofcourse" in de data view tab.I have two variables set.TEST    Numeric 8       0               {1, CNTEST}...  None    11      Right   Ordinal InputTASTE   Numeric 8       0               {1, Very Good}...       None    11      Right   Ordinal InputWhat is the best analyses to use on this.A few pointers would be very VERY appreciated.--Sent from: http://spssx-discussion.1045642.n5.nabble.com/=====================To manage your subscription to SPSSX-L, send a message to[hidden email] (not to SPSSX-L), with no body text except thecommand. To leave the list, send the commandSIGNOFF SPSSX-LFor a list of commands to manage subscriptions, send the commandINFO REFCARD===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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 [hidden email] (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