{"id":1100,"date":"2024-01-04T15:59:54","date_gmt":"2024-01-04T15:59:54","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/using-jasp-consumer-attitudes-research-exercise-perform-a-multiple-regression-analysis-to-explore-how-well-the-components-of-the-theory-of-planned-behaviour-tpb-and-other-variables-socio-demogra\/"},"modified":"2024-01-04T15:59:54","modified_gmt":"2024-01-04T15:59:54","slug":"using-jasp-consumer-attitudes-research-exercise-perform-a-multiple-regression-analysis-to-explore-how-well-the-components-of-the-theory-of-planned-behaviour-tpb-and-other-variables-socio-demogra","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/using-jasp-consumer-attitudes-research-exercise-perform-a-multiple-regression-analysis-to-explore-how-well-the-components-of-the-theory-of-planned-behaviour-tpb-and-other-variables-socio-demogra\/","title":{"rendered":"using JASP: Consumer Attitudes (Research exercise) Perform a multiple regression analysis to explore how well the components of the Theory of Planned Behaviour (TPB) and other variables (socio-demographic and economics characteristics of respondents)"},"content":{"rendered":"

Title of assessment (Consumer Attitudes) \u2013 Research exercise <\/span><\/p>\n

Perform a multiple regression analysis to explore how well the components of the Theory of Planned Behaviour (TPB) and other variables (socio-demographic and economics characteristics of respondents) contained in the \u2018GM_Datset_2nd_Assignment.sav\u2019 or \u2018GM_Dataset_Assignment_02.csv\u2019 datasets can predict purchasing. intentions for GM food products. Discuss your results commenting tables and or figures of your data analysis.<\/p>\n

The \u2018GM_Datset_2nd_Assignment.sav\u2019 dataset contains the information necessary to perform the required statistical analysis. Furthermore, table 1 illustrates how questions related to TPB components were framed in the questionnaire and named in the \u2018GM_Datset_2nd_Assignment.sav\u2019 dataset.<\/p>\n


<\/p>\n

_____________________________________________________<\/p>\n


<\/p>\n

Overview and learning outcomes assessed :<\/p>\n


<\/p>\n

You have to demonstrate your skills in analysing and summarising data on attitudes, and commenting results linked to the following learning outcomes:<\/p>\n


<\/p>\n

\u2022 The strength of attitudes and the expectancy value principle (see learning outcomes of weeks 4 and 5)<\/p>\n

\u2022 Predicting behaviour (see learning outcomes of week 6)<\/p>\n

\u2022 Modelling consumer attitudes and behaviour (see learning outcomes of weeks 7-8)<\/p>\n

\u2022 JASP\/SPSS tutorials<\/p>\n


<\/p>\n

Text has to be double spaced, character 12, between 1,000 and 1,200 words<\/p>\n

__________________________________________<\/p>\n

Variable \t<\/span>                                                                                                <\/span>Item <\/span><\/b><\/p>\n

Attitudes (benefit and risks) \t<\/span> <\/span><\/b><\/span><\/p>\n


<\/p>\n

EV_PEST <\/b>              <\/span>For me, reducing the use of pesticides and chemicals from the application of genetic engineering in food  <\/span>production is:  <\/span><\/p>\n


<\/p>\n

SP_PEST<\/b> \t<\/span>I think that reducing the use of pesticides and chemicals by using genetic engineering in food production is: <\/span><\/p>\n

 <\/span><\/p>\n

EV_FOOD <\/span><\/b>             <\/span>For me, the development of foods with specific health benefits via the application of genetic engineering  <\/span>in food production is: <\/span><\/p>\n


<\/p>\n

SP_FOOD<\/b>             <\/span>I think that the development of foods with specific health benefits  <\/span>through the use of genetic engineering in food production is :  <\/span><\/p>\n

 <\/span><\/p>\n

EV_LDCS<\/b>              <\/span>For me, improvements in the nutritional situation of people in developing countries from the use of  <\/span>genetic engineering in food production are:  <\/span><\/p>\n


<\/p>\n

SP_LDCS<\/b>              <\/span>I think that improvements in the nutritional situation of people in developing countries through the use of genetic engineering in food production are: <\/span><\/p>\n

 <\/span><\/p>\n

EV_BIOD<\/b>              \t<\/span><\/span>For me, reduced biodiversity in ecological systems from the use of genetic engineering in food production  \t<\/span><\/span>is: <\/span><\/p>\n

SP_BIOD  <\/span><\/b>            <\/span>I think that reduced biodiversity in ecological systems as a result of using genetic engineering in food production is: <\/span><\/p>\n

 <\/span><\/p>\n

EV_HEAL<\/b>              <\/span>For me,  <\/span>health risks to myself and my family from the use of genetic engineering in food production are: <\/span><\/p>\n


<\/p>\n

SP_HEAL<\/b>             <\/span>I think  <\/span>health risks to myself and  <\/span>my family caused  <\/span>by   <\/span>genetic  <\/span>engineering  <\/span>in  <\/span>food  <\/span>production are: <\/span><\/p>\n

 <\/span><\/p>\n

EV_FUTG<\/b>              <\/span>For me, negative health effects on future generations from use of genetic engineering in food production  \t<\/span><\/span>are:  <\/span><\/p>\n

SP_FUTG<\/b>              <\/span>I think that negative health effects on future generations due to the use of genetic engineering in food production are: <\/span><\/p>\n

 <\/span><\/p>\n

Subjective norms and Perceived behaviour control \t<\/span> <\/span><\/b><\/span><\/p>\n

NB_SNOR<\/b>              \t<\/span><\/span>For me, my family\u2019s and my friends\u2019 views of my purchasing genetically modified food items would be: <\/span><\/p>\n


<\/p>\n

MC_SNOR<\/b>              <\/span>I think the likelihood that my family’s and friends’ views will influence my intention to purchase or not to purchase genetically modified food items will be: <\/span><\/p>\n

 <\/span><\/p>\n

PC_PBCL <\/span><\/b>             <\/span>For me, if genetically modified food products are introduced on the market, distinguishing them from food  <\/span>items produced without genetic engineering will be:  <\/span><\/p>\n


<\/p>\n

CB_PBCL    <\/span><\/b>          <\/span>I think that if food produced using genetic engineering is introduced on the market, the likelihood that I will have access to it in my usual shopping environment will be:  <\/span><\/p>\n

__________________________________<\/p>\n

Coding of variables for JASP users who import data from the CSV file. <\/span><\/span><\/b><\/span><\/p>\n

<\/span><\/span><\/b><\/p>\n\n\n\n
\n

<\/p>\n

Variable \t<\/span>Value names \t<\/span>Label <\/span><\/p>\n

EV_PEST <\/span><\/p>\n

\t<\/span>-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely desirable <\/span><\/p>\n


<\/p>\n

SP_PEST \t<\/span><\/span><\/p>\n

1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n

EV_FOOD \t<\/span><\/span><\/p>\n

-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely desirable <\/span><\/p>\n

SP_FOOD \t<\/span><\/span><\/p>\n

1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n

EV_LDCS <\/span><\/p>\n

\t<\/span>-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

     <\/span>3    <\/span>Extremely desirable <\/span><\/p>\n

SP_LDCS \t<\/span><\/span><\/p>\n

      <\/span>1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n

EV_BIOD \t<\/span><\/span><\/p>\n

     <\/span>-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely desirable <\/span><\/p>\n

SP_BIOD \t<\/span><\/span><\/p>\n

      <\/span>1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n

EV_HEAL \t<\/span><\/span><\/p>\n

     <\/span>-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely desirable <\/span><\/p>\n

SP_HEAL \t<\/span><\/span><\/p>\n

      <\/span>1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n

EV_FUTG \t<\/span><\/span><\/p>\n

     <\/span>-3 \t<\/span>Extremely undesirable <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very undesirable <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Undesirable <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Desirable <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very desirable <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely desirable <\/span><\/p>\n

SB_FUTG \t<\/span><\/span><\/p>\n

      <\/span>1 \t<\/span>Extremely unlikely <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very unlikely <\/span><\/p>\n

\t<\/span>3 \t<\/span>Unlikely <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither unlikely, nor likely <\/span><\/p>\n

\t<\/span>5 \t<\/span>Likely <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very likely <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely likely <\/span><\/p>\n


<\/p>\n


<\/p>\n

\t<\/span>Subjective norms <\/span><\/p>\n

Variables names \t<\/span>Values \t<\/span>Labels <\/span><\/p>\n

NB_SNOR <\/span><\/p>\n

\t<\/span>-3 \t<\/span>Extremely negative <\/span><\/p>\n

\t<\/span>-2 \t<\/span>Very negative <\/span><\/p>\n

\t<\/span>-1 \t<\/span>Negative <\/span><\/p>\n

\t<\/span>0 \t<\/span>Neutral <\/span><\/p>\n

\t<\/span>1 \t<\/span>Positive <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very positive <\/span><\/p>\n

\t<\/span>3 \t<\/span>Extremely positive <\/span><\/p>\n

MC_SNOR <\/span><\/p>\n

\t<\/span>1 \t<\/span>Extremely low <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very low <\/span><\/p>\n

\t<\/span>3 \t<\/span>Low <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither low, nor high <\/span><\/p>\n

\t<\/span>5 \t<\/span>High <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very high <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely high <\/span><\/p>\n


<\/p>\n


<\/p>\n


<\/p>\n

\t<\/span>Perceived behavioural control <\/span><\/p>\n

PC_PBCL \t<\/span>1 \t<\/span>Extremely difficult <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very difficult <\/span><\/p>\n

\t<\/span>3 \t<\/span>Difficult <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither difficult, nor easy <\/span><\/p>\n

\t<\/span>5 \t<\/span>Easy <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very easy <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely easy <\/span><\/p>\n

CB_PBCL \t<\/span>1 \t<\/span>Extremely low <\/span><\/p>\n

\t<\/span>2 \t<\/span>Very low <\/span><\/p>\n

\t<\/span>3 \t<\/span>Low <\/span><\/p>\n

\t<\/span>4 \t<\/span>Neither low, nor high <\/span><\/p>\n

\t<\/span>5 \t<\/span>High <\/span><\/p>\n

\t<\/span>6 \t<\/span>Very high <\/span><\/p>\n

\t<\/span>7 \t<\/span>Extremely high <\/span><\/p>\n


<\/p>\n


<\/p>\n

\t<\/span>Other variables <\/span><\/p>\n

GENDER \t<\/span><\/span><\/p>\n

     <\/span>0 \t<\/span>Female <\/span><\/p>\n

\t<\/span>1 \t<\/span>Male <\/span><\/p>\n

INCOME \t<\/span><\/span><\/p>\n

      <\/span>1 \t<\/span>Less than 1000 \u20ac <\/span><\/p>\n

\t<\/span>2 \t<\/span>From 1000 to 1999 \u20ac <\/span><\/p>\n

\t<\/span>3 \t<\/span>From 2000 to 2999 \u20ac <\/span><\/p>\n

\t<\/span>4 \t<\/span>From 3000 to 3999 \u20ac <\/span><\/p>\n

\t<\/span>5 \t<\/span>More than 4000 \u20ac <\/span><\/p>\n

COUNTRY \t<\/span><\/span><\/p>\n

      <\/span>0 \t<\/span>Italy <\/span><\/p>\n

\t<\/span>1 \t<\/span>Germany <\/span><\/p>\n

______________________________<\/p>\n

Also, I have attached:<\/font><\/b><\/p>\n


<\/font><\/b><\/p>\n

* Assignment guide<\/font><\/b><\/p>\n

* Dataset on JASP<\/font><\/b><\/p>\n

Also Dataset on Excel<\/font><\/b><\/p>\n


<\/font><\/b><\/p>\n

And<\/font><\/b><\/p>\n


<\/font><\/b><\/p>\n

* Week 4 and 5 lectures<\/font><\/b><\/p>\n

* Week 6 lecture<\/font><\/b><\/p>\n

* Week 7 and 8 lectures<\/font><\/b><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Title of assessment (Consumer Attitudes) \u2013 Research exercise  Perform a multiple regression analysis to explore how well the components of the Theory of Planned Behaviour (TPB) and other variables (socio-demographic and economics characteristics of respondents) contained in the \u2018GM_Datset_2nd_Assignment.sav\u2019 or \u2018GM_Dataset_Assignment_02.csv\u2019 datasets can predict purchasing. intentions for GM food products. Discuss your results commenting tables […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[20],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/1100"}],"collection":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/comments?post=1100"}],"version-history":[{"count":0,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/1100\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/media?parent=1100"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/disciplines?post=1100"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/paper_types?post=1100"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/tagged?post=1100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}